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WO1997034274A1 - Dispositif de commande dependant du trafic, de systemes de feux de signalisation, assiste par logique flou - Google Patents

Dispositif de commande dependant du trafic, de systemes de feux de signalisation, assiste par logique flou Download PDF

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Publication number
WO1997034274A1
WO1997034274A1 PCT/DE1997/000471 DE9700471W WO9734274A1 WO 1997034274 A1 WO1997034274 A1 WO 1997034274A1 DE 9700471 W DE9700471 W DE 9700471W WO 9734274 A1 WO9734274 A1 WO 9734274A1
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WO
WIPO (PCT)
Prior art keywords
signal
green
time
traffic
red
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/DE1997/000471
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German (de)
English (en)
Inventor
Thorsten Mieden
Fritz Busch
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Siemens Corp
Original Assignee
Siemens AG
Siemens Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens AG, Siemens Corp filed Critical Siemens AG
Priority to AU25036/97A priority Critical patent/AU2503697A/en
Priority to AT97916338T priority patent/ATE188798T1/de
Priority to EP97916338A priority patent/EP0886845B1/fr
Priority to DE59701006T priority patent/DE59701006D1/de
Publication of WO1997034274A1 publication Critical patent/WO1997034274A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/08—Controlling traffic signals according to detected number or speed of vehicles

Definitions

  • T he invention relates to a traffic-dependent Steue ⁇ tion of traffic light systems with the aid of fuzzy logic in accordance with the preamble of claim 1.
  • the control of traffic lights for road traffic depending on traffic volume has long been known and common.
  • the green time is often measured, that is to say a need-based adjustment of the release time is determined.
  • time gaps and occupancy levels in the access routes to the nodes were predominantly used for adapting the release time to traffic.
  • fixed threshold values have been defined. Exceeding or falling below these threshold values, or combinations of these input variables, leads to the switching off or extension of the current traffic flow.
  • the release time is adjusted by means of time gap measurement, the time intervals between successive vehicles of a vehicle stream are measured as a time gap by means of a detector in the access point.
  • the release time is adjusted after the selected minimum release time has elapsed or after an earliest point in time in circulation has been adapted to the current requirements of the inflowing vehicles.
  • the release time can be extended until the measured time gap is at least as large as a predefined time gap threshold or until the longest defined release time or the latest extension time in the signal circulation is reached.
  • threshold values for the termination of the release time are also defined. The measurement values are evaluated separately for each lane.
  • the original occupancy rate is smoothed using a compensation procedure. If necessary, a compensation factor is used for increasing and decreasing tendencies of the original values.
  • the volume density method compares the number of vehicles in front of red with the time gaps in traffic.
  • a limit value curve is defined, which assigns a fixed time gap value to a fixed number of waiting vehicles, up to which the current release time is extended.
  • Green time assessment according to urgency is an extension of the volume density method.
  • the number of vehicles in front of red is compared with the time gaps and also with the occupancy in the current traffic. Threshold values are also used here.
  • a signal group control of the L ic h tsignalstrom to switching recommendations determined who d s in order to influence the signal groups, ie those
  • the current traffic condition is assessed using fuzzy logic. After weighing up the different interests of the competing traffic flows, a decision is made about the termination or extension of the current phase and a selection of the next phase, but depending on the possibilities given by the current signal / master plan. So far, hard, ie clearly defined threshold values have been used as a basis for all known methods.
  • fuzzy logic in the area of node control now makes it possible to replace these hard threshold values with smooth transitions. This enables a much more differentiated consideration of the input values. Another advantage is that it is now possible to link several input variables in a clear manner. For this purpose, the fuzzy control is constructed in several stages with a series of processing modules.
  • modules for processing the input values are used in an observation level.
  • the required green times are in a green time requirement module for the individual Signal groups and a signal group weighting are calculated in a signal group weighting module.
  • phase weights are calculated in a third stage for use in phase controls, and recommendations for extending, stopping or switching on phases are generated.
  • the phase update module is provided in the control level. Recommendations for extending and canceling or switching on signal groups are generated for use in signal group control.
  • a signal group update module is provided for this. This takes place within the framework of the signal plan, which is adapted accordingly by means of a signal / master plan adaptation module.
  • FIG. 1 schematically shows the principle according to the invention
  • FIG. 2 shows a structure of the green time requirement module
  • FIG. 3 shows a section of the rule base 1
  • FIG. 4 fuzzy sets of the input variable assignment.
  • the traffic-dependent light signal control according to the invention with fuzzy logic has a modular structure and consists of two levels, as shown in FIG. 1.
  • the data processing of the control unit DVSG with the operating system BS and with the control method SV, which can be a phase control or a signal group control, is indicated schematically on the left.
  • the fuzzy control FS with the individual modules is shown schematically on the right.
  • the operating system BS of the control unit With the operating system BS of the control unit, the raw detector data are recorded and preprocessed in (1).
  • the fuzzy control FS receives both detector and signal status data DSD and module call data MAD from the control unit.
  • the observation level BE of the fuzzy control FS there are modules for data acquisition, data processing and information compression. Detector values prepared by the control unit and information about the system status (DSD) are used as input values. From this, compressed, signal group-related information VEI is generated, which is processed in the control level . With the help of this information, an adjustment of the signal / frame plan for the next cycle is carried out in the control level SE.
  • a recommendation for extending or switching off the current phase / signal groups is generated and the number of the next phase transition or the signal groups to be switched on is output to the higher-level control method SV (eg PDM or VS-PLUS).
  • the modules are designed in such a way that they can be used independently of a defined intersection geometry and independently of the installation of the detectors. In the case of traffic-dependent control, of course a certain basic equipment of detectors is required.
  • the modules are based on a manageable number of parameters set. Normally, all signal groups are treated equally. However, individual signal groups can also be prioritized by changing the corresponding parameters.
  • the use of the output values of the detectors depends on the position of the detectors. This will be explained in more detail.
  • phase controls a switching recommendation is given in a subsequent phase if the weighting of the current phase is less than or equal to the weighting of a subsequent phase.
  • the recommendations for switching on or off are given Signal groups generated As can be seen from FIG.
  • the observation plane BE essentially has three modules.
  • DBM input values
  • DSD input values
  • the green time requirement module GBM provides the required Green times of the signal groups calculated for the next round.
  • an evaluation of the urgency of the release request is made every second in the signal group weighting module SGGM. For this purpose, a weighting is calculated for each signal group. The higher the weight of a signal group, the greater their desire to get release times. When generating the weighting, a distinction is made between signal groups that are enabled and signal groups that are currently locked.
  • the green time requirement module GBM has four control bases RB1 to RB4, as shown in FIG. 2.
  • the linking of the input values depends on the signal status and the position of the detectors. During the green time of the signal groups
  • Counting and occupancy values ZW, BW determined. These values are normalized, fuzzyfied and processed with the help of the rule base RBl to a green time factor GFl.
  • Rule 1 if the occupancy is small and the count is small, the green time factor is very small.
  • Rule 2 if the occupancy is medium and the count is small, the green time factor is medium.
  • VL very small
  • LOW small
  • MED medium
  • HIGH large
  • fuzzy sets With the aid of the fuzzy sets (LOW, ED, HIGH), see FIG. 4, the standardized, "sharp" occupancy value for further processing in the fuzzy control (FS) is converted into a fuzzy description form. It is converted this is described by its degree of belonging (belief) to the fuzzy sets. This process is referred to as fuzzyfication.
  • fuzzyfication The conversion of the "unsharp" value at the output of the fuzzy control to a sharp value is accordingly referred to as defuzzification.
  • the green time factor GF1 thus determined is determined in a subsequent step via the rule base RB3 with the green time d ar f GBA linked for the current circulation.
  • the resultieren ⁇ d e A usgangsiere is called green-time factor GF2.
  • the input variables used are determined as a function of the detector position. If there are only detectors on the stop line, the last time gap LZ before the green termination is linked via the rule base RB2 with the time until the first arrival of a vehicle in "red" AR.
  • This red time factor RF1 determined in this way is also linked in the subsequent stage via the rule base RB3 with the green time requirement GBA for the current circulation.
  • the resulting output variable is called the red time factor RF2.
  • the vehicle arrival rate in "red" ARR is linked to the green time requirement GBA for the current circulation with the rule base RB4.
  • the resulting factor is called the red time factor RF2 multi-lane carriageways, the maximum green time or red time factor is used.
  • the control level SE of the fuzzy control FS has three modules.
  • the signal / master plan adaptation module SRAM an adaptation of the signal / master plan for the next round is carried out based on the green time requirement of the signal groups for the next round. This happens once at the end of a cycle and taking into account coordination points and restrictions by the planner, the higher-level control method and taking into account the structure of the given signal / framework plan.
  • a list of the signal groups to be switched on and off is generated in the signal group update module SGAM on the basis of the signal / master plan and the signal group weights.
  • PAM are the weights of the
  • the following input values are prepared and processed in the database module DBM: the sum of the occupancy times, vehicle count values, time gaps, duration of the green times of the signal groups, duration of the red time of the signal groups and signal state.
  • the following data are then available at the output of the database module: vehicle arrival rate in "red” (ARR), time until the first registration of a signal group in “red” (AR), last time gap LZ before the green termination, count values ZW in red , Occupancy rate (BW) in green and red and time gaps in green.
  • the green time requirement module GBM which determines the green time requirement of the individual signal groups, is provided with the following input values: occupancy value BW (in green), count value ZW (in green), time gap ZL before the green termination, time until the first one arrives Vehicle in “Red” (AR), green time requirement old and arrival rate in “Red”.
  • occupancy value BW occupancy value
  • count value ZW count value
  • time gap ZL time gap ZL before the green termination
  • AR time until the first one arrives Vehicle in "Red”
  • GBA green time requirement old and arrival rate in “Red”.
  • the duration of the red time is calculated and made available at the module output.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Feedback Control In General (AREA)

Abstract

L'invention concerne un dispositif de commande dépendant du trafic, de systèmes de feux de signalisation, assisté par une commande à logique floue polyétagée (FS) de construction modulaire, comprenant un niveau d'observation (BE) et un niveau de commande (SE). Au niveau d'observation (BE), les valeurs de détecteur traitées et les informations sur les états des groupes de signaux (DSD) sont traitées, par exemple chaque seconde, dans un premier stade, au moyen d'un module de banque de données (DBM) pour former des données comprimées relatives à des groupes de signaux. On en déduit par le calcul, dans un deuxième stade, au moyen d'un module d'exigence de temps vert (GBM) et d'un module de pondération de groupes de signaux (SGGM), les temps verts nécessaires des groupes de signaux indivduels et les pondérations des groupes de signaux. Dans un troisième stade, on effectue au niveau de commande (SE) et en utilisant un module d'adaptation du plan signal/image (SRAM) étant donné l'exigence de temps vert pour le cycle suivant de signaux, une adaptation du plan signal/image et, soit des recommandations de commutation (SED) pour des groupes signaux sont générées dans un module d'actualisation de groupes de signaux (SGAM) sur la base du plan signal/image et de la pondération des groupes de signaux, soit dans un module d'actualisation de phases (PAM), les pondérations de groupes de signaux sont transformées en pondérations de phases pour les recommandations de commutation pour les phases en cours et/ou subséquente.
PCT/DE1997/000471 1996-03-12 1997-03-11 Dispositif de commande dependant du trafic, de systemes de feux de signalisation, assiste par logique flou Ceased WO1997034274A1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
AU25036/97A AU2503697A (en) 1996-03-12 1997-03-11 Fuzzy logic-assisted traffic-responsive control system for traffic light systems
AT97916338T ATE188798T1 (de) 1996-03-12 1997-03-11 Verkehrsabhängige steuerung von verkehrs- lichtsignalanlagen mit hilfe von fuzzy-logik
EP97916338A EP0886845B1 (fr) 1996-03-12 1997-03-11 Dispositif de commande dependant du trafic, de systemes de feux de signalisation, assiste par logique flou
DE59701006T DE59701006D1 (de) 1996-03-12 1997-03-11 Verkehrsabhängige steuerung von verkehrs-lichtsignalanlagen mit hilfe von fuzzy-logik

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19609680 1996-03-12
DE19609680.4 1996-03-12

Publications (1)

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WO1997034274A1 true WO1997034274A1 (fr) 1997-09-18

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PCT/DE1997/000471 Ceased WO1997034274A1 (fr) 1996-03-12 1997-03-11 Dispositif de commande dependant du trafic, de systemes de feux de signalisation, assiste par logique flou

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EP (1) EP0886845B1 (fr)
AT (1) ATE188798T1 (fr)
AU (1) AU2503697A (fr)
DE (1) DE59701006D1 (fr)
WO (1) WO1997034274A1 (fr)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2169946C2 (ru) * 1999-07-12 2001-06-27 Красноярская государственная архитектурно-строительная академия Нейросетевой способ межрайонного координированного управления транспортными потоками
WO2001086610A1 (fr) * 2000-05-05 2001-11-15 Siemens Aktiengesellschaft Procede et dispositif pour determiner une selection optimisee d'un plan de signaux de trame parmi un certain nombre de plans de signaux de trame pour un systeme de circulation
WO2001086359A3 (fr) * 2000-05-05 2002-06-06 Siemens Ag Procede et dispositif de commande floue pour determiner de maniere assistee par ordinateur une strategie de commande pour un systeme technique, un support d'enregistrement lisible par ordinateur et un element de programme d'ordinateur
NL1018875C2 (nl) * 2001-09-03 2003-03-05 Witteveen & Bos Raadgevende In Verkeerslichtregeling.
AT501216A1 (de) * 2002-02-27 2006-07-15 Siemens Ag Verfahren zum steuern einer lichtsignalanlage
WO2010037581A1 (fr) * 2008-09-30 2010-04-08 Siemens Aktiengesellschaft Procédé pour l'optimisation de la régulation du trafic en un noeud réglementé par des signaux lumineux dans un réseau routier
WO2011033042A1 (fr) 2009-09-16 2011-03-24 Road Safety Management Ltd Système et procédé de commande de signal de circulation
EP2492886A1 (fr) 2011-02-28 2012-08-29 Siemens Aktiengesellschaft Procédé et système de commande d'installations de signaux lumineux pour la commande d'installations de signaux lumineux
US8903636B1 (en) 2013-12-02 2014-12-02 Abdualrahman Abdullah Mohammad Al Kandari Accident detection system and method for accident detection
CN110634293A (zh) * 2019-09-26 2019-12-31 同济大学 一种基于模糊控制的干线交叉口控制方法

Families Citing this family (2)

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CN104809892A (zh) * 2015-04-02 2015-07-29 南通职业大学 一种单交叉口交通信号模糊控制器
CN110634308B (zh) * 2019-09-26 2021-09-03 同济大学 一种基于车辆排队消散时间的单交叉口信号控制方法

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DE19521927A1 (de) * 1995-06-09 1996-12-12 Inst Automation Und Kommunikat Verfahren und Vorrichtung zur verkehrsabhängigen Grünzeitanpassung in einer Verkehrssignalanlage

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Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2169946C2 (ru) * 1999-07-12 2001-06-27 Красноярская государственная архитектурно-строительная академия Нейросетевой способ межрайонного координированного управления транспортными потоками
WO2001086610A1 (fr) * 2000-05-05 2001-11-15 Siemens Aktiengesellschaft Procede et dispositif pour determiner une selection optimisee d'un plan de signaux de trame parmi un certain nombre de plans de signaux de trame pour un systeme de circulation
WO2001086359A3 (fr) * 2000-05-05 2002-06-06 Siemens Ag Procede et dispositif de commande floue pour determiner de maniere assistee par ordinateur une strategie de commande pour un systeme technique, un support d'enregistrement lisible par ordinateur et un element de programme d'ordinateur
NL1018875C2 (nl) * 2001-09-03 2003-03-05 Witteveen & Bos Raadgevende In Verkeerslichtregeling.
AT501216A1 (de) * 2002-02-27 2006-07-15 Siemens Ag Verfahren zum steuern einer lichtsignalanlage
AT501216B1 (de) * 2002-02-27 2007-03-15 Siemens Ag Verfahren zum steuern einer lichtsignalanlage
CN102165501A (zh) * 2008-09-30 2011-08-24 西门子公司 用于优化道路交通网络内灯控交叉点上的交通控制的方法
WO2010037581A1 (fr) * 2008-09-30 2010-04-08 Siemens Aktiengesellschaft Procédé pour l'optimisation de la régulation du trafic en un noeud réglementé par des signaux lumineux dans un réseau routier
US8698650B2 (en) 2008-09-30 2014-04-15 Siemens Aktiengesellschaft Method for optimizing the traffic control at a traffic signal controlled intersection in a road traffic network
WO2011033042A1 (fr) 2009-09-16 2011-03-24 Road Safety Management Ltd Système et procédé de commande de signal de circulation
US8928493B2 (en) 2009-09-16 2015-01-06 Road Safety Management Ltd. Traffic signal control system and method
AU2010297287B2 (en) * 2009-09-16 2015-03-19 Road Safety Management Ltd Traffic signal control system and method
EP2492886A1 (fr) 2011-02-28 2012-08-29 Siemens Aktiengesellschaft Procédé et système de commande d'installations de signaux lumineux pour la commande d'installations de signaux lumineux
DE102011004841A1 (de) * 2011-02-28 2012-08-30 Siemens Aktiengesellschaft Verfahren und Lichtsignalanlagen-Steuerungssystem zur Steuerung von Lichtsignalanlagen
US8903636B1 (en) 2013-12-02 2014-12-02 Abdualrahman Abdullah Mohammad Al Kandari Accident detection system and method for accident detection
CN110634293A (zh) * 2019-09-26 2019-12-31 同济大学 一种基于模糊控制的干线交叉口控制方法
CN110634293B (zh) * 2019-09-26 2021-06-04 同济大学 一种基于模糊控制的干线交叉口控制方法

Also Published As

Publication number Publication date
EP0886845B1 (fr) 2000-01-12
DE59701006D1 (de) 2000-02-17
EP0886845A1 (fr) 1998-12-30
ATE188798T1 (de) 2000-01-15
AU2503697A (en) 1997-10-01

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