WO2019065749A1 - Rest assistance device and rest assistance method - Google Patents

Abstract

This rest assistance device (1) comprises: a candidate location retrieval unit (10) for retrieving a route R to the destination E of a moving body V and detecting a plurality of candidate rest locations r1, r2 on the route R and a plurality of predicted arrival times corresponding to the plurality of candidate rest locations r1, r2, a circadian rhythm prediction unit (40) for predicting the circadian rhythm of a rider of the moving body V, and an evaluation unit (80) for evaluating each of the plurality of candidate rest locations r1, r2 on the basis of the plurality of predicted arrival times detected by the candidate location retrieval unit (10) and the circadian rhythm of the rider predicted by the circadian rhythm prediction unit (40) and selecting a recommended candidate location to recommend to the rider from among the plurality of candidate rest locations r1, r2.

Description

Rest support device and rest support method

The present disclosure relates to a rest support device and a rest support method.

Conventionally, there is known a technique of presenting a time zone in which sleep should be taken so that sleep time does not mix in a time zone in which the occupant wakes up based on the sleep condition of the occupant (see, for example, Patent Document 1).

Patent No. 4761364 gazette

In recent years, it is desirable to recommend a break depending on the situation of the occupant in order to more efficiently suppress the fatigue of the occupant.

The present disclosure aims to make it possible to recommend a break depending on the situation of the occupant.

A rest support apparatus according to an aspect of the present disclosure is a candidate place searching unit that detects a plurality of break candidate sites on a route to a destination of a mobile object and a plurality of estimated arrival times for each of the plurality of break candidate sites. And a plurality of predicted arrival times detected by the candidate site search unit, and a plurality of predicted arrival times detected by the candidate site search unit, and a plurality of circadian rhythms of the occupant predicted by the circadian rhythm prediction unit. And an evaluation unit that evaluates each of the candidate rest locations and determines a recommended candidate location recommended to the occupant from the plurality of candidate rest locations.

In the break support method according to one aspect of the present disclosure, the candidate place searching unit determines a plurality of break candidate places on the route to the destination of the mobile body and a plurality of estimated arrival times for each of the plurality of break candidate places. The route search step to detect, the circadian rhythm prediction step where the circadian rhythm prediction unit predicts the circadian rhythm of the occupant of the moving body, the estimated arrival time detected by the route search step by the evaluation unit, and the circadian rhythm prediction step Evaluating each of a plurality of break candidate sites based on the predicted circadian rhythm of the occupant, and determining a recommended candidate site to be recommended to the occupant from the plurality of break candidate sites.

According to the present disclosure, it is possible to recommend a break depending on the situation of the occupant.

FIG. 1 is a block diagram showing a configuration of a rest support device according to the present embodiment. FIG. 2 is a schematic view showing an example of a plurality of break candidate places on the route searched by the candidate place searching unit according to the embodiment. FIG. 3 is a table showing an example of a list of evaluation contents according to the embodiment. FIG. 4 is an explanatory view for explaining an appropriate stopping direction of the mobile unit according to the embodiment. FIG. 5 is a flow chart showing the flow of the break recommendation process according to the embodiment. FIG. 6 is a flow chart showing a flow of a rest process according to the embodiment.

(Summary of this disclosure)
In order to solve the above problem, a break support apparatus according to an aspect of the present disclosure searches for a route to a destination of a moving object, and a plurality of break candidate sites on the route and the plurality of break candidate sites. A candidate site search unit for detecting a plurality of arrival forecast times for each, a circadian rhythm prediction unit for forecasting a circadian rhythm of an occupant of a mobile, a plurality of arrival forecast times detected by the candidate site search unit, and a circadian rhythm forecasting unit And an evaluation unit that evaluates each of the plurality of break candidate sites based on the predicted circadian rhythm of the occupant and determines a recommended candidate site to be recommended to the occupant from the plurality of break candidate sites.

According to this, the evaluation unit evaluates each of the plurality of break candidate locations based on the plurality of estimated arrival times detected by the candidate location search unit and the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit. That is, the evaluation unit evaluates each break candidate site in consideration of the circadian rhythm of the occupant at the time of arrival at each break candidate site. Thus, the evaluation unit can determine a recommended candidate site suitable for the passenger's circadian rhythm from the plurality of candidate resting sites. Therefore, it is possible to recommend to the crew a recommended candidate site according to the situation of the crew.

In addition, the evaluation unit acquires a nap time suitable for a temporary sleep of the occupant based on the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit, and performs evaluation including the temporary sleep time to obtain a recommended candidate site. decide.

According to this, the evaluation unit acquires the nap time suitable for the occupant's nap based on the predicted circadian rhythm of the occupant, and performs evaluation including the nap time, so the recommended candidate suitable for nap You can decide the ground.

In addition, a drowsiness prediction unit that predicts sleepiness of the occupant is provided, and the evaluation unit acquires a future drowsiness prediction value indicating the future drowsiness of the occupant predicted by the drowsiness prediction unit, and performs evaluation including the future drowsiness prediction value. To determine the recommended candidate site.

According to this, since the evaluation unit performs evaluation including the drowsiness prediction value of the occupant in the future, it is possible to determine a recommended candidate site more suitable for the occupant's situation.

In addition, the candidate site search unit acquires a future sleepiness prediction value from the sleepiness prediction unit, and detects a plurality of break candidate sites based on the future sleepiness prediction value.

According to this, since the candidate site search unit detects a plurality of break candidate sites based on the drowsiness prediction value in the future, the occupant's future drowsiness prediction value will be reflected at the detection time of the break candidate site. As a result, it is possible to detect a break candidate site suitable for the drowsiness prediction value of the occupant in the future.

In addition, the sleepiness prediction unit acquires route information on the route searched by the candidate location search unit, and corrects the future sleepiness prediction value based on the route information.

According to this, since the drowsiness prediction unit corrects the drowsiness prediction value in the future based on the route information, the drowsiness prediction value can be corrected to the future drowsiness prediction value according to the state of each route.

In addition, the sleepiness prediction unit acquires vital log information of the occupant, extracts the sleep time of the previous night from the vital log information, and corrects the future sleepiness prediction value based on the sleep time.

According to this, since the drowsiness prediction unit corrects the drowsiness prediction value in the future based on the sleeping time of the occupant the night before, it is possible to correct the drowsiness prediction value further in accordance with the occupant's situation.

In addition, the drowsiness prediction unit predicts a current drowsiness prediction value indicating the current drowsiness of the occupant, and the candidate location searching unit determines that the current drowsiness prediction value predicted by the drowsiness prediction unit is equal to or greater than a predetermined value. Let the shoulders on the route be a break candidate site.

According to this, when the drowsiness prediction value is currently equal to or more than the predetermined value, the candidate site search unit can set the shoulder on the route as a candidate rest area, and can recommend the passenger as the candidate rest area. Therefore, it is possible to make the sleepy passenger quickly rest on the roadside.

In addition, an environment prediction unit that predicts the surrounding environment of each of the plurality of break candidate sites is provided, and the evaluation unit acquires a plurality of environment information indicating each surrounding environment of the plurality of break candidate locations predicted by the environment prediction unit. The recommended candidate site is determined by performing evaluation including the plurality of environmental information.

According to this, the evaluation unit determines the recommended candidate site by performing evaluation including a plurality of environmental information, and therefore, it is possible to set a candidate break site more suitable for a break as the recommended candidate site.

In addition, the environment prediction unit predicts caffeine purchase availability indicating the ease of purchase of caffeine beverage as the surrounding environment of each of the plurality of candidate break sites, and the evaluation unit predicts a plurality of the environment prediction units predicted. A recommended candidate site is determined by acquiring each caffeine purchase availability level of the break candidate site and performing evaluation including the plurality of caffeine purchase availability levels.

According to this, since the evaluation unit performs the evaluation including the plurality of caffeine purchasing availability, the recommended candidate site is determined, and therefore, the candidate resting site where the caffeine beverage is easy to purchase is the recommended candidate site. can do.

In addition, when the evaluation result in the evaluation unit is smaller than a predetermined threshold value, the candidate site search unit detects again a plurality of break candidate sites and a plurality of estimated arrival times for each of the plurality of break candidate sites. .

According to this, when the evaluation result in the evaluation unit is smaller than the predetermined threshold value, the candidate place searching unit redetects a plurality of break candidate places and estimated arrival times of these, so the recommended candidate places Undecided can be suppressed.

In addition, the candidate place search unit changes the detection condition when detecting a plurality of candidate break places again.

According to this, since the detection condition is changed at the time of the redetection by a candidate place search part, a plurality of break candidate places can be detected over a wider range.

In addition, the evaluation unit estimates the direction of the sun at the recommended candidate site at the estimated arrival time based on the recommended candidate site and the estimated arrival time corresponding to the recommended candidate site, and the estimated sun direction with respect to the estimated sun direction. And determine the proper stopping direction of the moving object.

According to this, since the evaluation unit determines the stopping direction of the moving body appropriate for the direction of the sun at the recommended candidate site, the moving body may be stopped in the stopping direction based on the determination result. It becomes possible. Therefore, it is possible to realize an environment suitable for a passenger for a break.

Further, the circadian rhythm prediction unit acquires biological log information of the occupant and predicts the circadian rhythm of the occupant based on the biological log information.

According to this, since the circadian rhythm prediction unit predicts the circadian rhythm of the passenger based on the vital log information of the passenger, it is possible to predict the circadian rhythm corresponding to the real life of the passenger. Therefore, it is possible to improve the prediction accuracy of the circadian rhythm, and as a result, it is possible to determine the recommended candidate site more suitable for the situation of the occupant.

In addition, the rest support device includes an environment adjustment unit that adjusts the inside and outside environments of the moving body to an environment suitable for temporary sleep.

According to this, since the environment adjustment unit controls the inside and outside environments of the moving body to an environment suitable for temporary sleep, the passenger can take a temporary sleep.

In addition, the environment adjustment unit includes a light adjustment unit that adjusts sunlight entering the moving body.

According to this, since the light adjustment unit adjusts the sunlight entering the moving body, it is possible to suppress that the occupant's nap is disturbed by the sunlight.

In addition, the environment adjustment unit includes a noise suppression unit that suppresses noise in the moving body.

According to this, since the noise suppression unit suppresses the noise in the moving body, it is possible to suppress that the occupant's nap is disturbed by the noise.

In addition, the environment adjustment unit includes a temperature adjustment unit that adjusts the temperature in the moving body.

According to this, since the temperature control unit adjusts the temperature in the moving body, the temperature in the moving body can be adjusted to a temperature suitable for nap.

In addition, the environment adjustment unit includes a door lock unit that locks the door of the movable body.

According to this, since the door lock unit locks the door of the moving body, it is possible to prevent an intruder from the outside. Therefore, the occupant can take a nap safely.

Further, the environment adjustment unit includes a human sensor that detects a person around the moving body, and a guiding unit that guides the person to leave when the human sensor detects a person.

According to this, when the human sensor detects a person, the guiding unit guides the person to leave, thereby preventing an intruder from the outside. Therefore, the occupant can take a nap safely.

The mobile communication device further includes a nap measurement unit configured to measure a nap time of the occupant in the moving body, and an awakening unit configured to wake up the occupant in nap based on the measurement result of the nap measurement unit.

According to this, since the awakening unit wakes up the occupant in a nap on the basis of the measurement result of the nap measurement unit, the occupant can be awakened at an appropriate time.

In addition, the awakening unit includes a human sensor that detects a person around the mobile object, and the awakening unit detects a person when the human sensor detects a person and the staying time of the person exceeds a predetermined time, the occupant in the nap is Wake up.

According to this, when the staying time of the person detected by the human sensor exceeds the predetermined time, the awakening part wakes up the passenger in the temporary sleep state, so that the passenger can cope with it.

In addition, the awakening unit awakes the occupant in a nap based on the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit.

According to this, since the awakening part wakes up the sleeping occupant based on the circadian rhythm of the occupant, it is possible to wake up the occupant at a time suitable for awakening. This can enhance the comfort of the occupant when waking up.

In addition, the rest support device includes a caffeine information acquisition unit that acquires caffeine information indicating that the occupant has consumed the caffeine drink, and the awakening unit is based on the caffeine information acquired by the caffeine information acquisition unit. , Awakening a passenger in a nap.

According to this, since the awakening unit wakes up the occupant in the temporary sleep based on the caffeine information, it is possible to wake up the occupant at a time appropriate for the occupant who obtained the caffeine. This can enhance the comfort of the occupant when waking up.

In addition, the awakening unit wakes up the sleeping occupant by controlling the device provided in the moving body.

According to this, since the occupant in the nap is awakened by the device provided in the moving body, the occupant can be awakened without providing a dedicated device for awakening the occupant.

In addition, the rest support device includes a restricting unit that restricts the movement of the moving body when the awakening degree of the occupant who has awakened by the awakening unit is smaller than a predetermined degree.

According to this, when the awakening degree of the occupant is lower than the predetermined degree, the movement of the movable body is restricted by the restricting portion, so that it is possible to prevent the occupant from driving the movable body in an unstable state. it can.

In the break support method according to one aspect of the present disclosure, the candidate place search unit searches for a route to the destination of the mobile object, and the plurality of break candidate places on the route and the plurality of break candidate places are searched. A route search step of detecting a plurality of estimated arrival times, a circadian rhythm prediction step of which a circadian rhythm prediction unit predicts a circadian rhythm of a passenger of a moving object, and a plurality of estimated arrival times detected by the evaluation unit in the route search step Evaluating each of a plurality of break candidate sites based on the circadian rhythm of the occupant predicted in the circadian rhythm prediction step, and determining a recommended candidate site to be recommended to the occupant from the plurality of break candidate sites. .

According to this, in the evaluation step, each of the plurality of break candidate sites is evaluated based on the plurality of estimated arrival times detected by the candidate site search unit and the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit. Evaluate That is, in the evaluation process, each candidate break site is evaluated in consideration of the circadian rhythm of the occupant at the time of arrival at each candidate stop site. As a result, in the evaluation step, it is possible to determine a recommended candidate site suitable for the passenger's circadian rhythm from a plurality of candidate resting sites. Therefore, it is possible to recommend to the crew a recommended candidate site according to the situation of the crew.

Note that these general or specific aspects may be realized by a system, a method, an integrated circuit, a computer program, or a recording medium such as a computer readable CD-ROM, and the system, the method, the integrated circuit, the computer It may be realized by any combination of programs or recording media.

Hereinafter, a rest support device and the like according to the embodiment will be described with reference to the drawings. The embodiments shown here and their modifications all show general or specific examples of the present invention. Accordingly, the numerical values, the components, the arrangements and the connection forms of the components, the order of steps (steps) and steps, and the like described in the following embodiments are merely examples, and are not intended to limit the present invention. Further, among the components in the following embodiments, components not described in the independent claims are components that can be added arbitrarily.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. Each figure is a schematic view, and is not necessarily illustrated strictly.

Embodiment
Hereinafter, the rest support device according to the embodiment will be described.

[1. Constitution]
The configuration of the rest support device according to the present embodiment will be described with reference to FIG. FIG. 1 is a block diagram showing a configuration of a rest supporting device 1 according to the present embodiment.

The rest support device 1 is mounted on a movable body V (see FIG. 4) such as a car, for example. The break support device 1 evaluates the candidate site search unit 10, the biological log acquisition unit 20, the in-vehicle camera 30, the circadian rhythm prediction unit 40, the sleepiness prediction unit 50, the notification unit 60, the environment prediction unit 70, A section 80, a sleep determination section 100, a nap measurement section 110, a caffeine information acquisition section 120, an awakening section 130, and a regulation section 140 are provided.

FIG. 2 is a schematic view showing an example of a plurality of candidate break places r1 and r2 on the route R searched by the candidate place searching unit 10 according to the embodiment.

The candidate site search unit 10 searches for a route R to the destination E of the mobile object V, and a plurality of break candidate sites r1 and r2 on the route R and a plurality of stop candidate sites r1 and r2 Detect the estimated arrival time of Specifically, the candidate site search unit 10 is a car navigation system mounted on the mobile unit V. The car navigation system may be a dedicated machine or an application such as a smartphone or a tablet terminal. The candidate location searching unit 10 has map information, and searches for a route R from the current location S to the destination E based on the map information. In addition, the candidate place search unit 10 detects a plurality of break candidate places suitable for a break near the route R based on the map information. The detection conditions for detecting a candidate break site include the distance to the route R, the possibility of a break in the facility, and the like. For example, the candidate site search unit 10 preferentially detects facilities whose distance to the route R is within a predetermined range. Here, the possibility of taking a break is an index indicating the ease of taking a break. For example, in the case of a dedicated rest facility (such as a hotel or Michi-no-eki), the degree of possible rest is high. In addition, if it is a free rest facility (such as Michi-no-eki), the degree of possible rest is high. If it is not a rest facility but a restable facility (super parking lot, road shoulder, emergency evacuation space, etc.), availability will be low. The candidate place search unit 10 detects a plurality of candidate break places r1 and r2 in the vicinity of the route R in consideration of the distance to the route R, the possibility of break of the facility, and the like. When the candidate place search unit 10 detects a plurality of candidate break places r1 and r2, the candidate place search unit 10 detects an estimated arrival time of each candidate break place r1 and r2.

The living body log acquisition unit 20 acquires living body log information of an occupant on the moving body V. Here, the biological log information is a history of various information of an occupant who lives daily life. The biological log information includes the occupant's sleep time, wake-up time, bedtime, heartbeat information, pulse information, blood pressure information, step count information, activity amount and the like. The biological log information is measured by, for example, a wearable device worn by a passenger. The vital log acquisition unit 20 acquires vital log information of the occupant wirelessly or by wire from a wearable device or a terminal cooperating with the wearable device.

The vital log information can also be measured by a device other than the wearable device. Other devices include various sensors installed at the occupant's home. Specifically, if it is a pressure sensor provided on the bed of the occupant or a human sensor mounted on the air conditioner, the sleeping time, wake-up time, and bedtime time of the occupant can be measured. In addition, the sleeping time, wake-up time, and bedtime time of the occupant can be measured also by an acceleration sensor such as a smartphone or a mobile phone carried by the occupant.

The biological log acquisition unit 20 includes hardware including a processor such as a CPU (Central Processing Unit) that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. The hardware included in the vital log acquisition unit 20 also includes a storage device (not shown) including storage media such as a ROM and a RAM, for example. A program for realizing the biological log acquisition unit 20 is stored in the storage device by being executed by the processor, and a result of acquisition by the biological log acquisition unit 20 is accumulated as needed.

The vital log acquisition unit 20 may be a heartbeat sensor that directly detects heartbeat information and pulse wave information included in the biometric log information from a passenger on board.

The in-vehicle camera 30 is a camera for acquiring an image of an occupant by photographing the inside of the moving body V. The in-vehicle camera 30 may be a visible camera or an infrared camera.

The circadian rhythm prediction unit 40 predicts a circadian rhythm (a circadian rhythm) of the occupant of the mobile object V. The circadian rhythm prediction unit 40 predicts the circadian rhythm of the occupant based on the vital log information of the occupant acquired by the vital log acquisition unit 20. Specifically, the circadian rhythm prediction unit 40 obtains the average sleep time from the sleep times of the past several days included in the biological log information. In addition, the circadian rhythm prediction unit 40 extracts the rising time on the day of boarding from the rising time included in the biological log information. The circadian rhythm prediction unit 40 predicts the circadian rhythm of the passenger on the day of getting on the basis of the average sleeping time, the rising time on the day of getting on the vehicle, and the like.

In addition, as a method of predicting a circadian rhythm, other methods may be used. For example, it is also possible to obtain LF (Low Frequency: low frequency component) / HF (High Frequency: high frequency component) from pulse information included in biological log information and predict a circadian rhythm based on the LF / HF.

The circadian rhythm prediction unit 40 includes hardware including a processor such as a CPU which cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. The hardware of the circadian rhythm prediction unit 40 also includes a storage device (not shown) including storage media such as ROM and RAM. A program for realizing the circadian rhythm prediction unit 40 is stored in the storage device by being executed by the processor, and a result of prediction by the circadian rhythm prediction unit 40 is accumulated as needed.

The drowsiness prediction unit 50 predicts the drowsiness of the occupant in the moving object V. In the present embodiment, sleepiness is used as an index indicating the degree of sleepiness of the occupant. That is, when the occupant is sleepy, the drowsiness increases.

The drowsiness prediction unit 50 measures drowsiness of the occupant by image analysis of a captured image by the in-vehicle camera 30, for example. Specifically, the drowsiness prediction unit 50 acquires image data from the in-vehicle camera 30 as needed, and extracts a face image of the occupant in the captured image. Next, the drowsiness prediction unit 50 detects an eye opening degree indicating the degree of opening of the eyelid in the extracted face image. Here, it is considered that as the drowsiness of the occupant is stronger, the eyelid tends to close and the degree of eye opening decreases. Therefore, the drowsiness prediction unit 50 calculates the level of drowsiness so that the level of drowsiness increases as the detected eye opening degree decreases.

In addition, when the occupant is sleepy, it is considered that the closing time, which is the time during which the eyelid is closed per blink, becomes longer and the number of blinks per predetermined time decreases. Therefore, the drowsiness prediction unit 50 detects the closed eye time and the number of blinks based on the face image for a predetermined time (for example, one minute). The drowsiness prediction unit 50 increases the drowsiness estimation level as the detected eye closure time increases, and increases the drowsiness estimation level as the detected number of blinks decreases.

In addition, when the occupant is sleepy, it is considered that the driver's head position becomes unstable. Therefore, the drowsiness prediction unit 50 detects the head position of the driver based on the position of the face image extracted in the captured image of the in-vehicle camera 30. The drowsiness prediction unit 50 increases the estimated level of drowsiness as the fluctuation rate of the head position is larger, based on the detection result of the head position for a predetermined time (for example, one minute).

In addition to or instead of the image analysis of the captured image described above, the drowsiness prediction unit 50 may detect drowsiness by speech analysis in the vehicle. It is thought that snoring and other sleep can be observed when the occupant is asleep. Therefore, the drowsiness prediction unit 50 detects the breathing sound of the occupant in the data collected from the microphone (not shown), and determines whether the detected breathing sound includes a sleep breath such as snoring. The drowsiness prediction unit 50 increases the estimated level of drowsiness whenever it is determined that sleep is included.

Moreover, the drowsiness prediction unit 50 may detect drowsiness based on the measurement result of the heart rate sensor (not shown). When a person is sleepy, the HF (for example, 0.04 Hz to 0.15 Hz) component and the LF (for example, 0.04 Hz to 0.15 Hz) component included in the heart rate fluctuation (HRV: Heart Rate Variability) are caused by the activity of parasympathetic nerve It is known that the amount of HF component increases. Therefore, the drowsiness prediction unit 50 detects a heartbeat fluctuation from the sensor signal of the heartbeat sensor. The drowsiness prediction unit 50 detects the ratio (LF / HF ratio) of the LF component to the HF component in the detected heartbeat fluctuation. The drowsiness prediction unit 50 increases the estimated level of drowsiness as the detected LF / HF ratio is smaller.

Also, when the occupant's body movement is frequent, it is considered that the occupant is awake. Therefore, the drowsiness prediction unit 50 detects body motion information indicating body motion of the occupant based on a sensor signal of a body motion sensor (not shown). The drowsiness prediction unit 50 reduces the estimated level of drowsiness as the body movement increases based on the body movement information.

In addition, it is considered that the occupant is awake when the operation on the in-vehicle device is frequently performed. Therefore, the drowsiness prediction unit 50 detects the operation frequency of the in-vehicle device based on the operation information included in the output signal from the in-vehicle device during a predetermined time such as the past one minute, for example. The operation frequency is a frequency at which the in-vehicle device is operated during a predetermined time. The drowsiness prediction unit 50 reduces the drowsiness estimation level as the detected operation frequency increases.

The drowsiness prediction unit 50 predicts the current drowsiness prediction value indicating the drowsiness of the occupant at the current time, and the future drowsiness prediction value indicating the drowsiness of the future occupant. Specifically, the drowsiness prediction unit 50 predicts the current drowsiness prediction value by predicting the current drowsiness of the occupant by at least one method described above.

Here, when the current drowsiness predicted value predicted by the drowsiness predicting unit 50 is equal to or more than a predetermined value, it is a situation where the passenger needs a rest immediately. In this case, the candidate site search unit 10 includes the road shoulders in the candidate break site. Further, the predetermined value is a value indicating that it is better to take a nap as soon as possible although the occupant is not asleep. The predetermined value is determined by performing various experiments, simulations, and the like.

On the other hand, the drowsiness prediction unit 50 predicts the future drowsiness prediction value of each break candidate site by adding the future fluctuation to the current drowsiness prediction value. In general, the drowsiness prediction unit 50 increases the drowsiness prediction value in the future as the drowsiness of the occupant increases as the awakening time increases, as the drowsiness of the occupant increases in time from the present time. That is, the drowsiness prediction unit 50 predicts that the drowsiness prediction value will be larger in the future as the possible break site for which the estimated arrival time is later.

Here, the drowsiness prediction unit 50 may correct the drowsiness prediction value in the future. Specifically, the drowsiness prediction unit 50 acquires route information on the route R searched by the candidate location searching unit 10, and corrects the future drowsiness prediction value based on the route information. The route information includes, for example, a monotonous degree indicating whether the route R is monotonous or not. When the curve is small in the route R, the degree of monotony increases. In addition, when there are few things (such as a signboard, a commercial facility, a sightseeing spot, a scenic spot, etc.) that visually stimulate the occupant around the route R, the degree of monotony increases. The greater the degree of monotony, the drowsiness of the occupant tends to be induced and increased. The route information also includes future traffic congestion prediction information. In the route R where traffic congestion occurs frequently, the drowsiness of the occupant is induced and tends to increase. Based on these tendencies, the drowsiness prediction unit 50 corrects the drowsiness prediction value in the future.

In addition, the sleepiness prediction unit 50 acquires vital log information of the occupant from the vital log acquisition unit 20, extracts the sleeping time of the previous night from the vital log information, and corrects the future sleepiness prediction value based on the sleeping time. If the sleeping time on the night before is short, the progression of drowsiness is large, and if the sleeping time is long, the progression of sleepiness tends to be small. Based on this tendency, the sleepiness prediction unit 50 corrects the future sleepiness prediction value from the sleep time of the previous night.

Here, based on the future sleepiness prediction value predicted by the sleepiness prediction unit 50, the candidate location searching unit 10 may detect a plurality of break candidate locations. In other words, the predicted drowsiness value of the occupant will be reflected at the time of detection of the break candidate site. As a result, it is possible to detect a break candidate site suitable for the drowsiness prediction value of the occupant in the future.

The sleepiness prediction unit 50 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. The hardware included in the drowsiness prediction unit 50 also includes a storage device (not shown) including storage media such as a ROM and a RAM. The storage device stores a program for realizing the drowsiness prediction unit 50 or a result of the prediction by the drowsiness prediction unit 50 is accumulated as needed by being executed by the processor.

The notification unit 60 includes a display unit 61 and a speaker 62. The display unit 61 may be, for example, a display panel of a car navigation system mounted on the movable body V, or may be a dedicated display panel. Examples of the display unit 61 include a liquid crystal panel and an organic EL panel. The display unit 61 notifies the occupant of the information by displaying various information. Specifically, the display unit 61 displays the route R searched by the candidate place search unit 10, a plurality of break candidate places r1 and r2, a recommended candidate place recommended by the evaluation unit 80 described later, and the like.

The speaker 62 may be a speaker mounted on the mobile unit V or a dedicated speaker. The speaker 62 notifies the occupant of the information by outputting various pieces of information.

The environment prediction unit 70 predicts the surrounding environment of each of the plurality of break candidate places r1 and r2. Specifically, the environment prediction unit 70 estimates the arrival time of each of the candidate sites r1 and r2, map information of each candidate site r1 and r2, and VICS (registered trademark: Vehicle Information and Communication System: road traffic information) The surrounding environment of each of the candidate break places r1 and r2 is predicted based on traffic information and the like provided by the communication system and received by the car navigation system. In addition, you may use the information acquired from the internet for prediction of ambient environment.

The ambient environment includes the illuminance, temperature, noise level, degree of crime, degree of caffeine purchase, etc. in the target area.

For example, the environment prediction unit 70 is based on predicted arrival times of the respective break candidate places r1 and r2, position information included in the map information of the respective break candidate places r1 and r2, weather information received by the car navigation system, etc. By obtaining the direction, inclination, sunshine duration, and the like of the sun of each of the candidate break places r1 and r2 at the expected arrival time, the illuminance of each candidate break place r1 and r2 is predicted.

In addition, the environment prediction unit 70 is based on estimated arrival times of the candidate break places r1 and r2, position information included in map information of the candidate break places r1 and r2, weather information received by the car navigation system, etc. It predicts the temperatures of the candidate break places r1 and r2 at the expected arrival time.

In addition, the environment prediction unit 70 is based on estimated arrival times of the break candidate places r1 and r2, position information included in the map information of the break candidate places r1 and r2, traffic jam information received by the car navigation system, etc. The noise level of each candidate break site r1, r2 at the expected arrival time is predicted. Here, if the noise level is high, it is assumed that the noise in the area is large.

In addition, the environment prediction unit 70 predicts the degree of security of each of the candidate break places r1 and r2 based on the position information included in the map information of the candidate break places r1 and r2 and the crime rate received by the car navigation system. Do. Here, if the degree of crime prevention is high, the crime prevention of the area concerned shall be high.

In addition, the environment prediction unit 70 predicts the caffeine purchase availability based on the position information and the surrounding information included in the map information of each of the candidate break places r1 and r2. The caffeine purchase availability is an index indicating the ease of purchasing caffeinated beverages. For example, as there are more vending machines, beverage shops, restaurants, etc. around the candidate break places r1 and r2, the caffeine purchase availability becomes higher.

The environment prediction unit 70 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. The hardware provided in the environment prediction unit 70 also includes a storage device (not shown) including storage media such as a ROM and a RAM, for example. The storage device stores a program for realizing the environment prediction unit 70 by being executed by the processor, and stores the result of the prediction by the environment prediction unit 70 as needed.

The evaluation unit 80 evaluates each of the plurality of break candidate locations r1 and r2 based on the plurality of estimated arrival times detected by the candidate location search unit 10 and the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit 40. From these break candidate places r1 and r2, recommended candidate places to be recommended to the occupant are determined.

For example, the evaluation unit 80 obtains a nap time suitable for the occupant's temporary sleep based on the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit 40, and includes a plurality of candidate resting places r1 including the temporary sleep time. Evaluate each of r2. Specifically, the evaluation unit 80 raises the point of evaluation with respect to the candidate break places r1 and r2 where the estimated arrival time is close to the sleeping time of the occupant. That is, the candidate break places r1 and r2 that make it easy for the passenger to take a nap at the time of the nap time are highly evaluated.

In addition, the evaluation unit 80 acquires future drowsiness prediction values of the occupant at each of the candidate rest places r1 and r2 predicted by the drowsiness prediction unit 50, and includes the future drowsiness prediction values to obtain each rest candidate location r1 and r2. evaluate. Specifically, the evaluation unit 80 raises the point of evaluation with respect to the candidate rest areas r1 and r2 with low future drowsiness prediction values. In other words, the candidate sites r1 and r2 where the occupant can take a break when drowsiness is small are evaluated highly. This suppresses the increase in drowsiness of the occupant.

In addition, the evaluation unit 80 acquires a plurality of environment information indicating the surrounding environment of each of the candidate rest places r1 and r2 predicted by the environment prediction unit 70, and includes the plurality of environmental information to obtain each candidate rest area r1 and r2. Evaluate

For example, in the case of using the illuminance in the environmental information for evaluation, the evaluation unit 80 raises the point of evaluation with respect to the candidate break places r1 and r2 with low illuminance. That is, the break candidate places r1 and r2 which are an environment in which it is easy to take a nap are highly evaluated.

When the air temperature in the environmental information is used for evaluation, the evaluation unit 80 raises the point of evaluation with respect to the candidate break places r1 and r2 close to the temperature zone suitable for temporary sleep. That is, the break candidate places r1 and r2 which are an environment in which it is easy to take a nap are highly evaluated. Here, the temperature zone suitable for the temporary sleep is, for example, 15 degrees to 25 degrees.

If the evaluation unit 80 determines that the car air conditioner can not operate without idling based on the relationship between the temperature of the candidate resting places r1 and r2 and the remaining amount of the battery of the moving object, the candidate resting place is recommended. It may not be determined as a candidate site.

In the case of using the noise level in the environmental information for evaluation, the evaluation unit 80 raises the point of evaluation with respect to the candidate rest areas r1 and r2 with low noise level. That is, the break candidate places r1 and r2 which are an environment in which it is easy to take a nap are highly evaluated.

When using the degree of crime prevention in the environmental information for evaluation, the evaluation unit 80 raises the point of evaluation with respect to the candidate break places r1 and r2 with high degree of crime prevention. That is, the break candidate places r1 and r2 which are an environment in which it is easy to take a nap are highly evaluated.

When caffeine purchase availability in the environmental information is used for evaluation, the evaluation unit 80 raises the point of evaluation with respect to the candidate break places r1 and r2 having high caffeine purchase availability. This is due to the theory that taking caffeine before nap causes the effect of nap to increase.

The evaluation unit 80 adds the results of the above-described evaluations to determine, among the plurality of break candidate places r1 and r2, the break candidate place having the highest rating as the recommended candidate place. FIG. 3 is a table showing an example of a list of evaluation contents according to the embodiment. In the case of FIG. 3, the evaluation unit 80 determines a break candidate site r1 having a high comprehensive evaluation as a recommended candidate site. Here, although the comprehensive evaluation is obtained by simply adding up the results of the respective evaluations, the comprehensive evaluation may be obtained by changing the weighting for each evaluation result and summing.

Further, the evaluation unit 80 estimates the direction of the sun at the recommended candidate site at the expected arrival time based on the recommended candidate site and the estimated arrival time corresponding to the recommended candidate site, and in the direction of the estimated sun Then, the stop direction of the mobile unit V is determined. Specifically, the evaluation unit 80 detects a parking lot at the recommended candidate site from the map information, and determines an appropriate stopping direction of the mobile body V based on the estimated sun direction and the parking lot. FIG. 4 is an explanatory view for explaining an appropriate stopping direction of the moving body V according to the embodiment. In FIG. 4, the direction of the parking lot P is the east-west direction. For example, when the predicted arrival time for the recommended candidate site is in the morning, the sun is in the east direction with respect to the parking lot P, so the evaluation unit 80 determines that the stopping direction of the mobile body V is west. As a result, the front glass of the mobile unit V turns to the west, so that sunlight does not easily enter the vehicle, and an in-vehicle environment suitable for nap can be provided. On the other hand, when the predicted arrival time to the recommended candidate site is the afternoon, the sun is in the west direction with respect to the parking lot P, so the evaluation unit 80 determines that the stopping direction of the mobile body V is the east direction. As a result, the front glass of the mobile unit V faces the east, so that sunlight does not easily enter the vehicle, and an in-vehicle environment suitable for a nap can be provided. The evaluation unit 80 links this determination result to the recommended candidate site.

Here, when the evaluation result in the evaluation unit 80 is smaller than the predetermined threshold value, the evaluation unit 80 causes the candidate location searching unit 10 to again generate a plurality of break candidate locations and a plurality of break candidate locations. Detect the estimated arrival time of The predetermined threshold value is a value for determining whether the occupant can take a break in an appropriate environment. The predetermined threshold is determined by performing various experiments, simulations, and the like.

At the time of this re-detection, the candidate place search unit 10 changes the detection condition when detecting a plurality of candidate break places again. Specifically, the candidate site search unit 10 makes the rest possibility set as the detection condition lower than before. As a result, at the time of redetection, more break candidate sites will be detected.

The evaluation unit 80 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. The hardware included in the evaluation unit 80 also includes, for example, a storage device (not shown) including storage media such as a ROM and a RAM. A program for realizing the evaluation unit 80 is stored in the storage device by being executed by the processor, and a result of evaluation by the evaluation unit 80 is accumulated as needed.

As shown in FIG. 1, the environment adjustment unit 90 adjusts the inside and outside environments of the mobile unit V to an environment suitable for temporary sleep. Specifically, the environment adjusting unit 90 includes a light adjusting unit 91, a noise suppressing unit 92, a temperature adjusting unit 93, a door lock unit 94, a human sensor 95, and a guiding unit 96.

The light adjustment unit 91 adjusts the sunlight incident into the moving body V. Specifically, the light adjustment unit 91 includes a light shielding shutter, a curtain, a roll screen and the like attached to the window of the movable body V. The light adjustment unit 91 may be a light shielding unit that covers the eyes of the occupant. Examples of the light shielding portion include an eye mask and a hood. The light adjustment unit 91 may automatically adjust sunlight, or may manually adjust sunlight by guiding an occupant.

The noise suppression unit 92 suppresses noise in the moving object V. Specifically, the noise suppression unit 92 suppresses noise in the moving object V by using, for example, ANC (Active Noise Control). In addition, the noise suppression part 92 suppresses noise so that the said repetition sound may remain, when a monotonous repetition sound is contained in noise. This is because a monotonous repetitive sound induces the sleepiness of the occupant. The noise suppression unit 92 may suppress the noise using the speaker 62, or may suppress the noise with headphones.

The temperature control unit 93 adjusts the temperature in the mobile unit V. Specifically, the temperature control unit 93 controls the car air conditioner. The temperature adjustment unit 93 performs temperature adjustment according to the circadian rhythm of the occupant. The temperature control unit 93 lowers the temperature in the mobile unit V when the circadian rhythm is in the rising period, and raises the temperature in the mobile unit V when the circadian rhythm is in the falling period.

Here, according to the remaining amount of the battery of the mobile unit V, the temperature control unit 93 determines whether temperature control is performed with idling stop or temperature control is performed with the engine running. The temperature control unit 93 normally starts the engine when the remaining amount of the battery decreases, but prohibits the start of the engine when the resting place is a dense residential area.

In addition, the temperature control unit 93 may control the opening and closing of the window of the moving body V. For example, when the temperature is appropriate, the temperature control unit 93 opens the window without using a car air conditioner.

Further, the temperature control unit 93 may monitor the temperature in the mobile unit V at the time of a break and notify the external server via the Internet or the like. When the temperature in the mobile unit V becomes equal to or higher than a predetermined temperature (for example, 38 degrees or higher), the external server determines that the state is abnormal and notifies the registrant of that. As a result, the registrant can rescue the occupant from within the mobile unit V in an abnormal state. Also, if the registrant does not notice, the external server notifies the police, the security company, etc., with a flag that the abnormal condition is continued for a predetermined time. This makes it possible to reliably rescue the occupant. In addition, the temperature control unit 93 may monitor the temperature in the moving body V and continue to notify the external server if there is a passenger in the moving body V at any time of idling or idling stop. .

The door lock unit 94 locks the door of the moving body V. Specifically, the door lock unit 94 controls the lock of the door of the movable body V. The door lock unit 94 locks the door of the moving body V at the time of a break, and unlocks the door of the moving body V at the time of awakening. This enhances the safety during the break. The door lock unit 94 may close the window of the movable body V at the time of a break.

The human sensor 95 is a sensor that detects a person around the mobile V, and is, for example, a camera.

The guiding unit 96 guides the person to leave when the human sensor 95 detects a person. Specifically, the guiding unit 96 guides the person around the mobile V away by controlling the horn, hazard, and the like of the mobile V. In addition, when the mobile body V mounts the speaker which outputs an audio | voice out of the mobile body V, the induction | guidance | derivation part 96 may control the said speaker and may guide so that the surrounding person may leave.

The environment adjustment unit 90 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. Further, the hardware included in the environment adjustment unit 90 includes a storage device (not shown) including storage media such as a ROM and a RAM, for example. The storage device stores a program for realizing the environment adjustment unit 90 by being executed by the processor.

The sleep determination unit 100 determines whether the occupant in the moving object V is sleeping. The sleep determination unit 100 determines whether the occupant is sleeping by image analysis of a captured image by the in-vehicle camera 30, for example. Specifically, the sleep determination unit 100 acquires image data from the in-vehicle camera 30 as needed, and extracts a face image of the occupant in the captured image. Next, the sleep determination unit 100 detects the closing time of the eyelid in the extracted face image. The sleep determining unit 100 determines that the occupant is sleeping if the eyelid closing time continues for a predetermined time or more, and determines that the occupant is not sleeping if not.

In addition to or instead of the image analysis of the captured image described above, the sleep determination unit 100 may determine whether or not to sleep by voice analysis in the vehicle. It is thought that snoring and other sleep can be observed while the occupant is sleeping. Therefore, the sleep determination unit 100 detects the breathing sound of the occupant in the data collected from the microphone (not shown), and if the detected breathing sound includes a sleep breath such as snoring, the occupant sleeps. If not, it is determined that the occupant is not sleeping. In addition, the sleep determination unit 100 may determine whether the occupant is sleeping by another method.

The sleep determination unit 100 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. The hardware included in the sleep determination unit 100 also includes, for example, a storage device (not shown) including storage media such as a ROM and a RAM. The storage device stores a program for realizing the sleep determination unit 100 or the result of determination by the sleep determination unit 100 is accumulated as needed by being executed by the processor.

The caffeine information acquisition unit 120 acquires caffeine information indicating that the occupant has ingested the caffeine drink. Specifically, the caffeine information acquisition unit 120 is a reader that reads the payment information in the portable terminal carried by the occupant, and acquires the purchase history of the caffeine drink of the occupant from the payment information of the portable terminal. The caffeine information acquisition unit 120 determines, based on the purchase history, whether the occupant has consumed the caffeine drink immediately before the break. The caffeine information acquisition unit 120 may be a bad breath sensor. In this case, the caffeine information acquisition unit 120 determines whether or not the caffeine drink has been ingested from the bad breath of the occupant.

The nap measurement unit 110 measures the nap time of the occupant in the moving body V. Specifically, the nap measurement unit 110 measures the occupant's nap time based on the determination result of the sleep determination unit 100.

The pause measurement unit 110 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. Further, the hardware included in the nap measurement unit 110 includes a storage device (not shown) including storage media such as a ROM and a RAM, for example. The storage device stores a program for realizing the nap measurement unit 110 or the result of measurement by the nap measurement unit 110 is accumulated as needed by being executed by the processor.

The awakening unit 130 awakes the occupant in the sleep state based on the measurement result of the nap measurement unit 110. Specifically, the awakening unit 130 causes the occupant to wake up when the measurement result of the nap measurement unit 110 becomes an appropriate nap time (for example, about 15 to 20 minutes) appropriate for nap. Note that the appropriate time for the nap may be changed depending on the time zone at the time of the nap. For example, the appropriate nap time after 15 o'clock may be switched to a time shorter than the nap appropriate time before 15 o'clock. It is because there is a possibility that sleep at night may be disturbed after 15 o'clock. In addition, the occupant may arbitrarily change the time of sleep onset.

Here, the awakening unit 130 may wake up the passenger in a nap based on the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit 40. As a result, it is possible to wake up the occupant at a time suitable for the circadian rhythm of the occupant.

In addition, the awakening unit 130 may cause the occupant in temporary sleep to be awake when the human sensor 95 detects a person and the staying time of the person exceeds a predetermined time.

In addition, the awakening unit 130 awakes the occupant in the temporary sleep based on the caffeine information acquired by the caffeine information acquisition unit 120. When caffeine is ingested, it is said that a comfortable awakening effect can be obtained with a nap time of about 30 minutes. For this reason, the awakening unit 130 switches the appropriate nap time to about 30 minutes when the occupant is taking caffeinated drink immediately before taking a break.

In addition, the awakening unit 130 awakes the occupant in the sleep state by controlling the device provided in the moving body V. Specifically, the awakening unit 130 wakes up the occupant by controlling the environment adjustment unit 90. The environment adjustment unit 90 adjusts the inside and outside environments of the mobile unit V to an environment suitable for nap while the occupant sleeps, but adjusts the inside and outside environments of the mobile unit V to an environment suitable for awakening .

For example, the light adjustment unit 91 of the environment adjustment unit 90 makes it easier for the occupant to wake up by the brightness by increasing the amount of light incident on the inside of the moving body V than during sleep. Further, the noise suppression unit 92 makes it easy for the occupant to wake up by the noise by stopping the ANC. The temperature control unit 93 makes the occupant awake easily by the cold, by setting the temperature in the mobile unit V to, for example, 20 degrees or less. Alternatively, the temperature control unit 93 applies cold air to the occupant to make it easy for the occupant to wake up due to the cold.

In addition to this, to make the occupant easy to wake up, playing music from the car audio, operating the engine, tightening the seat belt, operating the seat and shaking the occupant, opening the window Etc.

The awakening unit 130 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. Further, the hardware included in the awakening unit 130 also includes a storage device (not shown) including storage media such as a ROM and a RAM, for example. The storage device stores a program for realizing the awakening unit 130 by being executed by the processor.

The restricting unit 140 restricts the movement of the mobile body V when the awakening degree of the occupant waking up by the awakening unit 130 is smaller than a predetermined degree. Specifically, the restricting unit 140 determines that the awakening degree of the occupant has become larger than the predetermined degree by causing the occupant to complete the predetermined operation. For example, the restriction unit 140 restricts the movement of the mobile body V at the time of a break. In this state, the moving body V does not move even if the occupant tries to drive.

In addition, when the awakening unit 130 causes the occupant to wake up, the restriction unit 140 controls the notification unit 60 to urge the occupant to open and close the door a predetermined number of times. The restricting unit 140 counts the number of times of opening and closing of the door, and when the number of times of opening and closing becomes equal to a predetermined number, determines that the awakening degree of the occupant has reached a predetermined degree. The restriction unit 140 cancels the restriction of the movement of the mobile body V based on the determination.

Note that the restriction unit 140 may determine the awakening degree of the occupant other than the number of times of opening and closing of the door. For example, the restriction unit 140 may execute the game in the notification unit 60, and the occupant may clear the game to determine the awakening degree of the occupant. Further, the restriction unit 140 may determine the awakening degree of the occupant from the image acquired by the in-vehicle camera 30.

The restriction unit 140 includes hardware including a processor such as a CPU that cooperates with predetermined software, for example, and realizes the function by cooperation of the software and the hardware. The hardware included in the restriction unit 140 also includes a storage device (not shown) including a storage medium such as a ROM and a RAM. The storage device stores a program for realizing the restricting unit 140 by being executed by the processor.

[2. Rest support method]
A rest support method according to the embodiment will be described. The rest support method includes a rest recommendation process for recommending a passenger to take a rest, and a rest process for supporting a passenger's rest.

[2.1 recommended break processing]
First, the break recommendation process will be described. FIG. 5 is a flow chart showing the flow of the break recommendation process according to the embodiment.

The break recommendation process is executed when the operation from the occupant or the current drowsiness prediction value of the occupant becomes larger than the reference value. This reference value is a value for determining that the passenger needs to take a break in the future, and therefore, is a value smaller than the above-mentioned predetermined value.

In step S1, the drowsiness prediction unit 50 predicts the current drowsiness prediction value of the occupant and the drowsiness prediction value in the future, and shifts to step S2.

In step S2, the drowsiness prediction unit 50 determines whether the current drowsiness prediction value is equal to or more than a predetermined value. If the drowsiness prediction value is equal to or more than the predetermined value, the process proceeds to step S3. It transfers to step S4.

In step S3, the candidate site search unit 10 determines to include the road shoulder in the candidate resting site, and proceeds to step S4.

In step S4, the circadian rhythm prediction unit 40 predicts the circadian rhythm of the occupant, and proceeds to step S5 (a circadian rhythm prediction step).

In step S5, the candidate place search unit 10 detects the estimated arrival time of the plurality of candidate rest places r1, r2 and the candidate rest places r1, r2, and shifts to step S6 (route search step).

In step S6, the evaluation unit 80 evaluates each of the candidate break places r1 and r2 and shifts to step S7 (evaluation step).

In step S7, the evaluation unit 80 determines whether the evaluation results of all the candidate break places r1 and r2 are smaller than a predetermined threshold value. The evaluation unit 80 proceeds to step S8 when the evaluation results of all the break candidate places r1 and r2 are smaller than the predetermined threshold, and the evaluation result of at least one of the break candidate places is equal to or more than the predetermined threshold. The process proceeds to step S9.

In step S8, the candidate site search unit 10 changes the detection condition at the time of re-detection, and proceeds to step S5.

In step S9, the evaluation unit 80 determines a candidate break site r1 with the highest evaluation from candidate break sites r1 and r2 having a predetermined threshold value or more as a recommended candidate site (evaluation process), and proceeds to step S10.

In step S <b> 10, the evaluation unit 80 controls the notification unit 60 to cause the notification unit 60 to notify of the recommended candidate site. At this time, only the recommended candidate places may be notified, or the recommended candidate places may be emphasized and notified while notifying the break candidate places r1 and r2 having a predetermined threshold value or more.

[2.2 break processing]
Next, the rest process will be described. FIG. 6 is a flow chart showing a flow of a rest process according to the embodiment.

The rest process is performed when the moving body V stops. The rest process is executed by the moving object V stopping at any one of the rest candidate sites r1 and r2 or by an operation from the occupant.

In step S20, the environment adjustment unit 90 adjusts the inside and outside environments of the mobile unit V to an environment suitable for temporary sleep and shifts to step S21.

In step S21, the sleep determination unit 100 determines whether the occupant in the moving object V is sleeping or not. If the occupant sleeps, the process proceeds to step S22. If the occupant is not asleep, the process proceeds to step S22. Continue the state.

In step S22, the sleep measuring unit 110 measures the sleep time of the occupant, and proceeds to step S23.

In step S23, the human sensor 95 determines whether or not a person around the mobile unit V is detected. If it is detected, the process proceeds to step S24. If it is not detected, the process proceeds to step S26. Transition.

In step S24, the guiding unit 96 measures the staying time of a person based on the detection result of the human sensor 95, and proceeds to step S25.

In step S25, the guiding unit 96 determines whether the staying time of a person is equal to or more than a predetermined time, and if it is equal to or more than a predetermined time, the process proceeds to step S27. It transfers to step S26.

In step S26, the awakening unit 130 determines whether the nap time measured by the nap measurement unit 110 is equal to or longer than the nap appropriate time, and if it is less than the nap appropriate time, the process proceeds to step S23. If it is the appropriate time or more, the process proceeds to step S27.

In step S27, the awakening unit 130 controls the environment adjustment unit 90 to wake up the occupant, and proceeds to step S28.

In step S28, the restriction unit 140 determines the awakening degree of the occupant, and proceeds to step S29.

In step S29, the restricting unit 140 determines whether the awakening degree of the occupant is less than a predetermined degree. If it is less than the predetermined degree, the process proceeds to step S30. If it is equal to or more than the predetermined degree, step S31. Migrate to

In step S30, the restricting unit 140 restricts the movement of the movable body V, and the process proceeds to step S28.

In step S31, the restriction unit 140 permits the movement of the mobile body V. As a result, driving of the mobile unit V can be performed in a state where the occupant is sufficiently awake, and therefore, safety can be ensured.

[3. effect]
As described above, the break support device 1 according to the present embodiment searches for the route R to the destination E of the moving body V, and a plurality of break candidate places r1 and r2 on the route R and the plurality The candidate site search unit 10 detects a candidate site search unit 10 that detects a plurality of estimated arrival times for each of the break candidate sites r1 and r2, the circadian rhythm prediction unit 40 that predicts the circadian rhythm of the occupant of the mobile V, and Each of the plurality of break candidate sites r1 and r2 is evaluated based on the plurality of estimated arrival times and the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit 40, and the plurality of break candidate locations r1 and r2 are used to And an evaluation unit that determines a recommended candidate site to be recommended.

According to this, on the basis of the plurality of estimated arrival times detected by the candidate site search unit 10 and the circadian rhythms of the occupant predicted by the circadian rhythm prediction unit 40, the evaluation unit 80 determines a plurality of break candidate locations r1 and r2. Evaluate each of the That is, the evaluation unit 80 evaluates the candidate rest areas r1 and r2 in consideration of the circadian rhythm of the occupant at the time of arrival at the candidate rest areas r1 and r2. As a result, the evaluation unit 80 can determine a recommended candidate site suitable for the circadian rhythm of the occupant from the plurality of break candidate sites r1 and r2. Therefore, it is possible to recommend to the crew a recommended candidate site according to the situation of the crew.

Further, the evaluation unit 80 obtains a nap time suitable for the occupant's temporary sleep based on the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit 40, and performs evaluation including the said nap time, thereby making a recommended candidate Determine the ground.

According to this, the evaluation unit 80 acquires the nap time appropriate for the occupant's nap based on the predicted circadian rhythm of the occupant, and performs evaluation including the nap time, so the recommendation suitable for nap The candidate site can be determined.

In addition, the drowsiness prediction unit 50 for predicting the sleepiness of the occupant is provided, and the evaluation unit 80 acquires a future drowsiness prediction value indicating the future drowsiness of the occupant predicted by the drowsiness prediction unit 50, and includes the future drowsiness prediction value. By making an evaluation, the recommended candidate site is determined.

According to this, since the evaluation unit 80 performs evaluation including the drowsiness prediction value of the occupant in the future, it is possible to determine a recommended candidate site more suitable for the occupant's situation.

In addition, the candidate site search unit 10 acquires a drowsiness prediction value from the drowsiness prediction unit 50 in the future, and detects a plurality of break candidate sites r1 and r2 based on the future sleepiness prediction value.

According to this, since the candidate place search unit 10 detects a plurality of break candidate places r1 and r2 based on the drowsiness prediction value in the future, the future drowsiness prediction value of the occupant is reflected at the detection time of the break candidate places r1 and r2. It will be done. As a result, it is possible to detect candidate resting places r1 and r2 suitable for the drowsiness prediction value of the occupant in the future.

In addition, the sleepiness prediction unit 50 acquires route information on the route R searched by the candidate location search unit 10, and corrects the future sleepiness prediction value based on the route information.

According to this, since the drowsiness prediction unit 50 corrects the drowsiness prediction value in the future based on the route information, the drowsiness prediction value can be corrected to the future drowsiness prediction value according to the situation of each route R.

In addition, the sleepiness prediction unit 50 acquires vital log information of the occupant, extracts the sleeping time of the previous night from the vital log information, and corrects the future sleepiness prediction value based on the sleeping time.

According to this, since the drowsiness prediction unit 50 corrects the drowsiness prediction value in the future based on the sleeping time of the occupant the night before, it is possible to correct the drowsiness prediction value further according to the occupant's situation.

In addition, the drowsiness prediction unit 50 predicts the current drowsiness prediction value indicating the current drowsiness of the occupant, and the candidate site search unit 10 determines that the current drowsiness prediction value predicted by the drowsiness prediction unit 50 is a predetermined value or more. , Let the shoulder on the route R be a candidate site for a break.

According to this, when the drowsiness prediction value is currently equal to or more than the predetermined value, the candidate site search unit 10 sets the road shoulder on the route R as a break candidate site, and therefore may recommend the passenger to set the road shoulder as a break candidate site. it can. Therefore, it is possible to make the sleepy passenger quickly rest on the roadside.

In addition, the environment prediction unit 70 predicts the surrounding environment of each of the plurality of break candidate places r1 and r2, and the evaluation unit 80 calculates the surrounding environment of each of the plurality of break candidate places r1 and r2 predicted by the environment prediction unit 70. The recommended candidate site is determined by acquiring a plurality of environmental information representing and performing evaluation including the plurality of environmental information.

According to this, since the evaluation unit 80 determines the recommended candidate site by performing evaluation including a plurality of environmental information, the candidate area r1 or r2 suitable for a break is set as the recommended candidate site. be able to.

In addition, the environment prediction unit 70 predicts the caffeine purchase availability indicating the ease of purchase of caffeine drink as the surrounding environment of each of the plurality of break candidate places r1 and r2, and the evaluation unit 80 calculates the environment prediction unit The caffeine purchase availability of each of the plurality of break candidate locations r1 and r2 predicted by 70 is acquired, and the evaluation is performed including the plurality of caffeine purchase availability and the recommendation candidate locations are determined.

According to this, since the evaluation unit 80 evaluates the recommended candidate site by performing evaluation including the plurality of caffeine purchase availability, the candidate break sites r1 and r2 where the caffeine beverage is easy to purchase are selected. It can be a recommended candidate site.

In addition, when the evaluation result in the evaluation unit 80 is smaller than the predetermined threshold value, the candidate site search unit 10 again applies a plurality of candidate sites r1 and r2 and a plurality of candidate sites r1 and r2 again. Detect multiple estimated arrival times.

According to this, when the evaluation result in the evaluation unit 80 is smaller than the predetermined threshold value, the candidate place search unit 10 redetects the plurality of candidate break places r1 and r2 and their estimated arrival times. , It can control that a recommendation candidate place becomes undecided.

In addition, the candidate site search unit 10 changes the detection condition when detecting a plurality of candidate break sites r1 and r2 again.

According to this, since detection conditions are changed at the time of redetection by candidate place search part 10, a plurality of break candidate places r1 and r2 can be detected over a wider range.

Further, the evaluation unit 80 estimates the direction of the sun at the recommended candidate site at the expected arrival time based on the recommended candidate site and the estimated arrival time corresponding to the recommended candidate site, and in the direction of the estimated sun Then, the stop direction of the mobile unit V is determined.

According to this, the evaluation unit 80 determines the stopping direction of the moving body V appropriate for the direction of the sun at the recommended candidate site, so the moving body V is stopped in the stopping direction based on the determination result It is possible to Therefore, it is possible to realize an environment suitable for a passenger for a break.

Further, the circadian rhythm prediction unit 40 acquires vital log information of the occupant, and predicts circadian rhythm of the occupant based on the vital log information.

According to this, since the circadian rhythm prediction unit 40 predicts the circadian rhythm of the passenger based on the vital log information of the passenger, it is possible to predict the circadian rhythm corresponding to the real life of the passenger. Therefore, it is possible to improve the prediction accuracy of the circadian rhythm, and as a result, it is possible to determine the recommended candidate site more suitable for the situation of the occupant.

In addition, the rest support device 1 includes an environment adjustment unit 90 that adjusts the inside and outside environments of the moving body V to an environment suitable for temporary sleep.

According to this, since the environment adjustment unit 90 controls the inside and outside environments of the moving body V to an environment suitable for the temporary sleep, the passenger can perform the temporary sleep.

In addition, the environment adjustment unit 90 includes a light adjustment unit 91 that adjusts the sunlight incident in the moving body V.

According to this, since the light adjustment unit 91 adjusts the sunlight incident in the moving body V, it is possible to suppress that the occupant's nap is disturbed by the sunlight.

In addition, the environment adjustment unit 90 includes a noise suppression unit 92 that suppresses noise in the moving object V.

According to this, since the noise suppression unit 92 suppresses the noise in the moving body V, it can be suppressed that the occupant's nap is disturbed by the noise.

In addition, the environment adjustment unit 90 includes a temperature adjustment unit 93 that adjusts the temperature in the mobile unit V.

According to this, since the temperature control unit 93 adjusts the temperature in the moving body V, it is possible to adjust the temperature in the moving body V to a temperature suitable for taking a nap.

In addition, the environment adjustment unit 90 includes a door lock unit 94 that locks the door of the movable body V.

According to this, since the door lock part 94 locks the door of the movable body V, it is possible to prevent an intruder from the outside. Therefore, the occupant can take a nap safely.

Environment adjustment unit 90 also includes a human sensor 95 for detecting a person around mobile unit V, and a guiding unit 96 for guiding the person to leave when human sensor 95 detects a person. .

According to this, when the human detection sensor 95 detects a person, the guiding unit 96 guides the person to leave, so it is possible to prevent an intruder from the outside. Therefore, the occupant can take a nap safely.

In addition, it includes a nap measurement unit 110 that measures the occupant's nap time in the moving body V, and an awakening unit 130 that awakens the occupant during nap based on the measurement result of the nap measurement unit 110.

According to this, since the awakening unit 130 wakes up the passenger in the temporary sleep based on the measurement result of the temporary sleep measurement unit 110, the passenger can wake up in an appropriate time.

The awakening unit 130 is provided with a human sensor 95 for detecting a person around the mobile object V, and the awakening unit 130 detects sleep when the human sensor 95 detects a person and the staying time of the person exceeds a predetermined time. Awakens the crew inside.

According to this, when the staying time of the person detected by the human sensor exceeds the predetermined time, the awakening unit 130 wakes up the occupant in the temporary sleep, and the occupant can cope with it.

In addition, the awakening unit 130 awakes the occupant in a nap based on the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit 40.

According to this, since the awakening unit 130 wakes up the sleeping occupant based on the circadian rhythm of the occupant, the occupant can be awakened at a time suitable for awakening. This can enhance the comfort of the occupant when waking up.

In addition, the rest support device 1 includes a caffeine information acquisition unit 120 that acquires caffeine information indicating that the occupant has consumed the caffeine drink, and the awakening unit 130 is a caffeine acquired by the caffeine information acquisition unit 120. Based on the information, awakening a sleeping passenger.

According to this, since the awakening unit 130 wakes up the occupant in the temporary sleep based on the caffeine information, it is possible to wake up the occupant in a time appropriate for the occupant who obtained the caffeine. This can enhance the comfort of the occupant when waking up.

In addition, the awakening unit 130 awakes the occupant in the sleep state by controlling the device provided in the moving body V.

According to this, since the occupant in the temporary sleep is awakened by the device provided in the moving body V, the occupant can be awakened without providing a dedicated device for awakening the occupant.

In addition, the break support device 1 includes the restricting unit 140 that restricts the movement of the moving body V when the awakening degree of the occupant woke up by the awakening unit 130 is smaller than the predetermined degree.

According to this, when the awakening degree of the occupant is lower than the predetermined degree, the movement of the movable body V is restricted by the restriction unit 140, so that the occupant can be prevented from driving the movable body V in an unstable state. can do.

In the break support method, the candidate place search unit 10 searches for the route R to the destination E of the moving body V, and a plurality of break candidate places r1 and r2 on the route R and the plurality of break candidate places A route searching step for detecting a plurality of arrival forecast times for each of r1 and r2, a circadian rhythm prediction step for the circadian rhythm prediction unit 40 to predict the circadian rhythm of the occupant of the mobile V, and an evaluation unit 80 a route searching step Each of the plurality of candidate break places r1 and r2 is evaluated based on the plurality of estimated arrival times detected in step a and the circadian rhythms of the occupants predicted in the step of circadian rhythm estimation, and from the plurality of candidate stops r1 and r2 And an evaluation step of determining a recommended candidate site recommended to the occupant.

According to this, in the evaluation step, the evaluation unit 80 evaluates each of the plurality of candidate break places r1 and r2 based on the plurality of estimated arrival times and the circadian rhythm of the occupant. That is, in the evaluation process, each candidate break site r1, r2 is evaluated in consideration of the circadian rhythm of the occupant at the time of arrival at each candidate stop site r1, r2. As a result, in the evaluation step, it is possible to determine a recommended candidate site suitable for the circadian rhythm of the occupant from the plurality of candidate resting sites r1 and r2. Therefore, it is possible to recommend to the crew a recommended candidate site according to the situation of the crew.

[4. Other]
As described above, the embodiment has been described as an example of the technology according to the present invention. However, the technology according to the present invention is not limited to this, and is also applicable to an embodiment in which changes, replacements, additions, omissions, and the like are appropriately made. For example, the following modifications are also included in one embodiment of the present invention.

In the above-mentioned embodiment, although evaluation part 80 shall determine a recommendation candidate place from a plurality of break candidate places r1 and r2 which candidate place search part 10 searched, it may be a form other than that. For example, it is assumed that the destination E is a work place, and the occupant stops the moving body V in a work parking lot and then gets off and then works. Then, the passenger takes a nap in the moving body V during the lunch break. In this case, although the break support device does not search for a candidate break site and decide a recommended candidate site, the occupant takes a nap in the car during lunch break, so the environment of the mobile V is taken as an environment suitable for nap It is desirable to do. For example, the break support device 1 may advise the direction of parking of the mobile V at the time of parking according to the direction of the sun during the lunch break time zone. In addition, at the time of nap during the lunch break, the environment adjustment unit 90 may perform an operation for adjusting to an environment suitable for the nap. Further, when the awakening unit 130 awakes the occupant from a nap in the lunch break, the awakening time may be determined according to the convenience of work. At that time, the awakening unit 130 may browse the work schedule of the occupant stored in the server of the company through the Internet to determine the awakening time.

The present invention is intended to reduce the risk due to sleep disorder by causing the occupant to take a nap for a long time. It is desirable for the occupant to sleep. Although the required sleep time varies depending on the person, it is generally said that about eight hours of sleep are necessary for many people. Repeated sleep less than that, the accumulation of lack of sleep is called sleep debt, which is now attracting attention as a health risk. For example, the sleepiness prediction unit 50 may calculate the sleep time necessary for the occupant based on the sleep time acquired by the biological log acquisition unit 20 according to the above embodiment and the sleepiness predicted by the sleepiness prediction unit 50. . The evaluation unit 80 sets the size of the sleep debt on the display unit 61 when the day for which the sleep time acquired by the biological log acquisition unit 20 falls is continued for a certain number of days with respect to the sleep time calculated by the drowsiness prediction unit 50. You may display it. As a result, it is possible to produce an exceptional effect indicating to the occupant the need for taking a sufficient sleep time. Further, when the occupant makes a nap, the evaluation unit 80 may cause the display unit 61 to display that the sleeping debt has decreased according to the sleeping time. This makes it possible to show the occupant the necessity of taking a nap. In addition, according to a study by the University of Pennsylvania, a six-hour sleep for two weeks has shown the same decline in brain function as two nights overnight. Therefore, when indicating the sleep debt, the evaluation unit 80 may prompt the occupant to improve the sleep by showing the decrease in the brain function on the display unit 61 by the expression “all night n late”.

In addition, the above comprehensive or specific aspects may be realized by a system, a method, an integrated circuit, a computer program, or a recording medium such as a computer readable CD-ROM, a system, a method, an integrated circuit, a computer program And any combination of recording media.

Also, the present disclosure includes various methods described above. One aspect of the present disclosure may be a computer program that implements these methods by a computer, or may be a digital signal including the computer program.

Furthermore, one aspect of the present disclosure is a computer-readable recording medium that can read the computer program or the digital signal, such as a flexible disk, a hard disk, a CD-ROM, an MO, a DVD, a DVD-ROM, a DVD-RAM, a BD (Blu- It may be recorded in a memory card such as a -ray Disc (registered trademark), a USB memory, an SD card, or a semiconductor memory. Further, the present disclosure may be the above-mentioned digital signal recorded on these recording media.

Further, according to one aspect of the present disclosure, the computer program or the digital signal may be transmitted via a telecommunication line, a wireless or wired communication line, a network represented by the Internet, data broadcasting, or the like.

Further, one aspect of the present disclosure is a computer system including a microprocessor and a memory, wherein the memory stores the computer program, and the microprocessor may operate according to the computer program. .

In addition, by recording and transferring the program or the digital signal on the recording medium, or by transferring the program or the digital signal via the network or the like, another independent computer system may be used. The above apparatus may be implemented.

In addition, all the numerals used above are illustrated to specifically describe the present disclosure, and the present disclosure is not limited to the illustrated numerals.

Also, division of functional blocks in the block diagram is an example, and a plurality of functional blocks may be realized as one functional block, one functional block may be divided into a plurality of parts, or some functions may be transferred to another function block. May be Also, a single piece of hardware or software may process the functions of a plurality of functional blocks having similar functions in parallel or in time division.

In addition, the order in which the plurality of steps included in the driving support method are executed is for illustrating the present disclosure specifically, and may be an order other than the above. Also, some of the above steps may be performed simultaneously (in parallel) with other steps.

As mentioned above, although the rest support device and the rest support method concerning one or a plurality of modes were explained based on an embodiment, this indication is not limited to this embodiment. Without departing from the spirit of the present disclosure, various modifications that may occur to those skilled in the art may be applied to the present embodiment, or an embodiment configured by combining components in different embodiments may be in the scope of one or more embodiments. May be included within.

The rest support device and the rest support method according to the present disclosure can be applied as a rest support device and a rest support method for supporting a rest for a passenger of a mobile body such as a car, a two-wheeled vehicle, or an autonomous vehicle.

DESCRIPTION OF SYMBOLS 1 break support apparatus 10 candidate place search part 20 living body log acquisition part 30 in-vehicle camera 40 circadian rhythm prediction part 50 drowsiness prediction part 60 alerting part 61 display part 62 speaker 70 environment prediction part 80 evaluation part 90 environment adjustment part 91 light adjustment part 92 Noise suppression unit 93 Temperature adjustment unit 94 Door lock unit 95 Human feeling sensor 96 Induction unit 100 Sleep judgment unit 110 Sleepiness measurement unit 120 Caffeine information acquisition unit 130 Awakening unit 140 Regulation unit E Destination P Parking lot R Route r1, r2 Break Candidate site S Present location V Mobile

Claims (26)

A candidate site search unit for detecting a plurality of break candidate sites on a route to a destination of the mobile body and a plurality of estimated arrival times for each of the plurality of candidate break sites;
A circadian rhythm prediction unit that predicts a circadian rhythm of a passenger of the moving body;
Each of the plurality of break candidate locations is evaluated based on the plurality of estimated arrival times detected by the candidate location search unit and the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit, and the plurality of breaks are determined. A rest support device comprising: an evaluation unit that determines a recommended candidate site to be recommended to the occupant from the candidate site. The evaluation unit acquires a nap time suitable for a temporary sleep of the occupant based on the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit, and performs the evaluation by including the nap time. The rest support device according to claim 1, wherein the candidate site is determined. A sleepiness prediction unit that predicts the sleepiness of the occupant;
The evaluation unit acquires a future sleepiness prediction value indicating the future sleepiness of the occupant predicted by the sleepiness prediction unit, and determines the recommended candidate site by performing the evaluation including the future sleepiness prediction value. A rest support device according to claim 1 or 2. The rest support device according to claim 3, wherein the candidate site search unit acquires the future sleepiness prediction value from the sleepiness prediction unit, and detects the plurality of break candidate sites based on the future sleepiness prediction value. The rest support device according to claim 3 or 4, wherein the sleepiness prediction unit acquires route information on the route, and corrects the future sleepiness prediction value based on the route information. The sleepiness prediction unit acquires vital log information of the occupant, extracts the sleep time of the previous night from the vital log information, and corrects the future sleepiness predictive value based on the sleep time. Rest support device according to any one. The drowsiness prediction unit predicts a current drowsiness prediction value indicating the current drowsiness of the occupant,
The candidate site search unit sets a road shoulder on the route as the possible break site, when the current sleepiness predicted value predicted by the sleepiness predictor is equal to or greater than a predetermined value. The rest support device according to one item. An environment prediction unit that predicts the surrounding environment of each of the plurality of break candidate sites;
The evaluation unit acquires a plurality of environmental information indicating the surrounding environment of each of the plurality of candidate resting places predicted by the environmental prediction unit, and performs the evaluation by including the plurality of environmental information. The rest support device according to any one of claims 1 to 7, wherein the candidate site is determined. The environment prediction unit predicts a caffeine purchasing availability indicating the ease of purchasing a caffeine beverage as the surrounding environment of each of the plurality of candidate resting places,
The evaluation unit acquires caffeine purchasing availability of each of the plurality of candidate resting places predicted by the environment predicting unit, and performs the evaluation by including the plurality of caffeine purchasing availability. The rest support device according to claim 8, wherein the recommended candidate site is determined. When the evaluation result in the evaluation unit is smaller than a predetermined threshold value, the candidate place search unit detects again the plurality of expected arrival times for each of the plurality of possible break locations and the plurality of possible break locations. The rest support device according to any one of claims 1 to 9. The break support device according to claim 10, wherein the candidate place search unit changes the detection condition at the time of detecting the plurality of break candidate places again. The evaluation unit estimates the direction of the sun at the recommended candidate site at the predicted arrival time based on the recommended candidate site and the estimated arrival time corresponding to the recommended candidate site, and the estimated sun The break support device according to any one of claims 1 to 11, wherein the stopping direction of the moving body appropriate for the direction is determined. The break support device according to any one of claims 1 to 12, wherein the circadian rhythm prediction unit acquires biological log information of the occupant and predicts the circadian rhythm of the occupant based on the biological log information. The rest support device according to any one of claims 1 to 13, further comprising an environment adjustment unit configured to adjust the inside and outside environments of the moving body to an environment suitable for temporary sleep. The rest support device according to claim 14, wherein the environment adjustment unit includes a light adjustment unit configured to adjust sunlight entering the moving body. The rest support device according to claim 14, wherein the environment adjustment unit includes a noise suppression unit that suppresses noise in the moving body. The rest support device according to any one of claims 14 to 16, wherein the environment adjustment unit includes a temperature adjustment unit that adjusts the temperature in the moving body. The rest support device according to any one of claims 14 to 17, wherein the environment adjustment unit includes a door lock unit that locks a door of the movable body. The environmental adjustment unit is
A human sensor for detecting a person around the moving body;
The break support device according to any one of claims 14 to 18, further comprising: a guiding unit that guides the person to leave when the human sensor detects a person. A nap measurement unit configured to measure a nap time of the occupant in the moving body;
The break support device according to any one of claims 1 to 19, further comprising: an awakening unit configured to wake up the occupant in the sleep state based on the measurement result of the nap measurement unit. A human sensor for detecting a person around the moving body;
21. The rest support device according to claim 20, wherein the awakening unit awakes the occupant in a nap when the human sensor detects the person and the staying time of the person exceeds a predetermined time. 22. The rest support device according to claim 20, wherein the awakening unit wakes up the occupant who is sleeping on the basis of the circadian rhythm of the occupant predicted by the circadian rhythm prediction unit. A caffeine information acquisition unit configured to acquire caffeine information indicating that the occupant has consumed the caffeine drink;
The break support device according to any one of claims 20 to 22, wherein the awakening unit wakes up the occupant in a nap on the basis of caffeine information acquired by the caffeine information acquisition unit. The rest support device according to any one of claims 20 to 23, wherein the awakening unit wakes up the occupant in a nap by controlling a device provided in the moving body. The break support device according to any one of claims 20 to 24, further comprising: a restricting unit that restricts the movement of the moving body when the awakening degree of the occupant awakened by the awakening unit is smaller than a predetermined degree. . A route search step of detecting candidate arrival time points for each of a plurality of break candidate sites on the route to the destination of the mobile body and each of the plurality of candidate break sites,
A circadian rhythm prediction step in which a circadian rhythm prediction unit predicts a circadian rhythm of a passenger of the moving body;
The evaluation unit evaluates each of the plurality of candidate break locations based on the plurality of estimated arrival times detected in the route searching step and the circadian rhythm of the occupant predicted in the circadian rhythm predicting step, A rest support method including: an evaluation step of determining a recommended candidate site recommended to the occupant from a plurality of candidate rest sites.

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