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WO2015015235A1 - Dynamic travel guidance system for motorists - Google Patents

Dynamic travel guidance system for motorists Download PDF

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Publication number
WO2015015235A1
WO2015015235A1 PCT/IB2013/001656 IB2013001656W WO2015015235A1 WO 2015015235 A1 WO2015015235 A1 WO 2015015235A1 IB 2013001656 W IB2013001656 W IB 2013001656W WO 2015015235 A1 WO2015015235 A1 WO 2015015235A1
Authority
WO
WIPO (PCT)
Prior art keywords
time
travel
traffic
dtgs
motorists
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/IB2013/001656
Other languages
French (fr)
Inventor
Jinxiang REN
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to PCT/IB2013/001656 priority Critical patent/WO2015015235A1/en
Publication of WO2015015235A1 publication Critical patent/WO2015015235A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096877—Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement
    • G08G1/096883—Systems involving transmission of navigation instructions to the vehicle where the input to the navigation device is provided by a suitable I/O arrangement where input information is obtained using a mobile device, e.g. a mobile phone, a PDA
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
    • G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • G08G1/096844—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the complete route is dynamically recomputed based on new data

Definitions

  • GPS Global Positioning System
  • a dynamic travel guidance system is applied for an international patent.
  • the DTGS integrates automatic traffic counts (ATC), macroscopic travel demand modeling (TDM), including EMME [1] auto demand adjustment techniques or VISUM 1 - 21 T-Flow Fuzzy procedures, and meso-scopic network modeling technique - dynamic traffic assignment [3] (DTA) in Dynameq [4] , DynusT [5] , or PTV Network Simulation software tools.
  • the DTGS optimizes anticipatory time-dependent en-route plans, such as: optimal real-time travel route choices or time-dependent shortest paths (TDSP), starting and ending times based on antiticipating traffic condition along the route so as to minimize the actual experienced travel time.
  • Cloud computing, Mobile Internet Services and Mobile Personal Devices are integrated with the existing GPS to store and communicate the DTGS's derived time-dependent shortest paths, starting and ending time to respective motorists by different modes of travel.
  • Travel Demand Modeling In an urban setting, build a macroscopic travel demand forecasting model based on the existing available transportation planning and modeling software tools, such as: EMME, VISUM, TransCad, Cube, or Paramics, to derive time-sliced origin-destination trip tables (or matrices), which are validated against existing traffic counts.
  • Traffic Demand Adjustment or Correction Either use EMME Traffic Demand Adjustment (Tool) or Multiclass Demand Adjustment (Tool) [1] to adjust the origin-destination trip tables to fit the real-time 5-15 minute time-sliced traffic counts; optionally use the matrix correction method T-FIow Fuzzy that is integrated into VISUM [6] [7] to derive the 5-15 minute time sliced trip tables by correcting the origin-destination trip tables to fit the real-time 5-15 minute time-sliced traffic counts.
  • Dynamic Traffic Assignment The prepared time-sliced traffic demand tables are used for dynamic traffic assignments by using Dynameq, DynusT or PTV mesoscopic traffic simulation DTA software, which optimizes time-varying real-time routing plans for every origin-destination pair, such as: optimal time-dependent shortest path (TDSP) [3] , and starting and ending travel time for respective motori sts by different modes of travel.
  • TDSP time-dependent shortest path
  • Step 3 Cloud Computing - Step 3
  • Step 4 and Step 5 are implemented through Cloud Computing and the results are communicated to Mobile Internet Information Technology and respective motorists' Mobile Personal Devices.
  • Personal Mobile Device - Personal mobile device such as I-Phone, I-Pad and so on can be utilized by individual motorists to store a series of personal origin-destination choices.
  • the DTGS instantaneously optimizes the time-dependent origin-destination en-route guidance for the respective motorist by different modes of travel.
  • Integrated GPS -Cloud Computing, Mobile internet, and Personal Mobile Device interact with the existing GPS to communicate the optimal TDSP, starting and ending travel time to the respective motorists by different modes of travel.
  • the DTGS is innovation that takes advantage of the innovative transportation modeling technologies combined with cloud computing, mobile internet information technology and personal mobile devices to integrate with the existing static GPS to provide motorists with dynamic travel guidance.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Mathematical Physics (AREA)
  • Traffic Control Systems (AREA)
  • Navigation (AREA)

Abstract

A dynamic travel guidance system (DTGS) is applied for an international patent. The DTGS integrates automatic traffic counts (ATC), macroscopic travel demand modeling (TDM), and mesoscopic network modeling technique - dynamic traffic assignment (DTA) to optimize anticipatory time-dependent en-route plans for motorists. These plans include optimal real-time travel route choices, starting and ending times based on anticipating traffic condition along the route so as to minimize the actual experienced travel time. Cloud Computing, Mobile Internet Information Technology and Personal Mobile Devices are utilized as data storage and communication tools to integrate with the existing GPS. An innovative and feasible technical process is claimed to realize the DTGS to more efficiently minimize respective motorists' experienced en-route travel times, delays and costs, and therefore, the DTGS enhances transportation system performance by reducing system-wide traffic congestion and air pollution.

Description

5. Description
An existing Global Positioning System (GPS) provides motorists with static travel guidance based on simple mathematical calculations of travel distances, speeds, times, historical or instantaneous traffic congestion or incident delays. In other words, anticipatory en-route traffic dynamics based on real-time traffic data are not incorporated into the existing GPS system to provide motorists with optimal time-varying en-route travel guidance, starting and ending travel time for different modes of travel.
A dynamic travel guidance system (DTGS) is applied for an international patent. The DTGS integrates automatic traffic counts (ATC), macroscopic travel demand modeling (TDM), including EMME [1] auto demand adjustment techniques or VISUM1-21 T-Flow Fuzzy procedures, and meso-scopic network modeling technique - dynamic traffic assignment[3] (DTA) in Dynameq[4], DynusT[5], or PTV Network Simulation software tools. The DTGS optimizes anticipatory time-dependent en-route plans, such as: optimal real-time travel route choices or time-dependent shortest paths (TDSP), starting and ending times based on antiticipating traffic condition along the route so as to minimize the actual experienced travel time.
Cloud computing, Mobile Internet Services and Mobile Personal Devices are integrated with the existing GPS to store and communicate the DTGS's derived time-dependent shortest paths, starting and ending time to respective motorists by different modes of travel.
An innovative and feasible technical process is claimed to realize the DTGS to more efficiently minimize individual motorists' en-route travel times, delays and costs, and therefore, the DTGS enhances transportation system performance by reducing system-wide congestion and air pollution.
This innovative process is described in the following sections and illustrated in Figure 1 : Technical Process for Dynamic Travel Guidance System (DTGS).
1) Travel Demand Modeling - In an urban setting, build a macroscopic travel demand forecasting model based on the existing available transportation planning and modeling software tools, such as: EMME, VISUM, TransCad, Cube, or Paramics, to derive time-sliced origin-destination trip tables (or matrices), which are validated against existing traffic counts.
2) Traffic Count Locations - Use EMME Traffic Count Location (Tool) [1]to run the validated travel demand model (in EMME format) to find a series of optimal locations on which to conduct traffic counts by 5-15 minute intervals.
3) Automatic Traffic Count - Real-time traffic counts are automatically collected at these optimal locations concurrently for every consecutive 5-15 minute interval in the urban roadway network, and the real traffic count data is transmitted and stored in Cloud for the subsequent steps.
4) Traffic Demand Adjustment or Correction - Either use EMME Traffic Demand Adjustment (Tool) or Multiclass Demand Adjustment (Tool) [1] to adjust the origin-destination trip tables to fit the real-time 5-15 minute time-sliced traffic counts; optionally use the matrix correction method T-FIow Fuzzy that is integrated into VISUM [6] [7] to derive the 5-15 minute time sliced trip tables by correcting the origin-destination trip tables to fit the real-time 5-15 minute time-sliced traffic counts.
5) Dynamic Traffic Assignment - The prepared time-sliced traffic demand tables are used for dynamic traffic assignments by using Dynameq, DynusT or PTV mesoscopic traffic simulation DTA software, which optimizes time-varying real-time routing plans for every origin-destination pair, such as: optimal time-dependent shortest path (TDSP) [3] , and starting and ending travel time for respective motori sts by different modes of travel.
6) Cloud Computing - Step 3, Step 4 and Step 5 are implemented through Cloud Computing and the results are communicated to Mobile Internet Information Technology and respective motorists' Mobile Personal Devices.
7) Mobile Internet Communication - Each motorist's request for optimal dynamic origin-destination en-route guidance, starting and ending travel times are communicated through Cloud Computing/Mobile Internet service, which iteratively updates Step 3 through Step 5 for every 5-minute or 15-minute time interval depending on the computing power and the accuracy required by the DTGS design.
8) Personal Mobile Device - Personal mobile device, such as I-Phone, I-Pad and so on can be utilized by individual motorists to store a series of personal origin-destination choices. Upon requests by a Personal Mobile Device user, the DTGS instantaneously optimizes the time-dependent origin-destination en-route guidance for the respective motorist by different modes of travel.
9) Integrated GPS -Cloud Computing, Mobile internet, and Personal Mobile Device interact with the existing GPS to communicate the optimal TDSP, starting and ending travel time to the respective motorists by different modes of travel.
In summary, the DTGS is innovation that takes advantage of the innovative transportation modeling technologies combined with cloud computing, mobile internet information technology and personal mobile devices to integrate with the existing static GPS to provide motorists with dynamic travel guidance.

Claims

4. Priority Claims
Priority Claim Item 1:
A technical process is claimed for the first time to truly realize Dynamic Travel Guidance System (DTGS), which integrates automatic traffic counts, macroscopic travel demand modeling, and mesoscopic dynamic traffic assignments, to generate optimized dynamic travel guidance in terms of time-dependent shortest paths, optimal starting time and ending time for respective motorists by different modes of travel.
Priority Claim Item 2:
Time-sliced real-time automatic traffic counts are used to adjust multiclass traffic demand (EMME software tool for Multiclass Demand Adjustment) or to correct vehicle traffic matrices (VISUM software tool for T-Flow Fuzzy Technique) to better fit the observed counting flows in order for the dynamic traffic assignments (DTA) to derive time-varying en-route choices based on anticipatory traffic condition along the route. The en-route choices minimize the actual experienced travel time for motorists.
Priority-CJaim-Item-5-:
Cloud computing, Mobile Internet Services and Mobile Personal Devices are integrated with the existing GPS to store and communicate the DTGS derived time-dependent shortest paths, starting and ending time to respective motorists by different modes of travel.
PCT/IB2013/001656 2013-07-29 2013-07-29 Dynamic travel guidance system for motorists Ceased WO2015015235A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/IB2013/001656 WO2015015235A1 (en) 2013-07-29 2013-07-29 Dynamic travel guidance system for motorists

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/IB2013/001656 WO2015015235A1 (en) 2013-07-29 2013-07-29 Dynamic travel guidance system for motorists

Publications (1)

Publication Number Publication Date
WO2015015235A1 true WO2015015235A1 (en) 2015-02-05

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2013/001656 Ceased WO2015015235A1 (en) 2013-07-29 2013-07-29 Dynamic travel guidance system for motorists

Country Status (1)

Country Link
WO (1) WO2015015235A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110942625A (en) * 2019-11-06 2020-03-31 深圳市城市交通规划设计研究中心有限公司 Dynamic OD estimation method and device based on real path flow backtracking adjustment
CN111311907A (en) * 2020-02-13 2020-06-19 北京工业大学 Identification method for parameter identification of uncertain fundamental graphs based on cellular transport model
CN112991745A (en) * 2021-04-30 2021-06-18 中南大学 Traffic flow dynamic cooperative allocation method under distributed framework
CN113536499A (en) * 2021-07-12 2021-10-22 交通运输部规划研究院 Port collection and distribution planning simulation analysis method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070093997A1 (en) * 2001-06-22 2007-04-26 Caliper Corporation Traffic data management and simulation system
US7373243B2 (en) * 2004-03-31 2008-05-13 Nissan Technical Center North America, Inc. Method and system for providing traffic information
US20120330479A1 (en) * 2011-06-27 2012-12-27 Paccar Inc System and method for generating vehicle drive cycle profiles

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070093997A1 (en) * 2001-06-22 2007-04-26 Caliper Corporation Traffic data management and simulation system
US7373243B2 (en) * 2004-03-31 2008-05-13 Nissan Technical Center North America, Inc. Method and system for providing traffic information
US20120330479A1 (en) * 2011-06-27 2012-12-27 Paccar Inc System and method for generating vehicle drive cycle profiles

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110942625A (en) * 2019-11-06 2020-03-31 深圳市城市交通规划设计研究中心有限公司 Dynamic OD estimation method and device based on real path flow backtracking adjustment
CN111311907A (en) * 2020-02-13 2020-06-19 北京工业大学 Identification method for parameter identification of uncertain fundamental graphs based on cellular transport model
CN111311907B (en) * 2020-02-13 2021-05-28 北京工业大学 Identification method for parameter identification of uncertain fundamental graphs based on cellular transport model
CN112991745A (en) * 2021-04-30 2021-06-18 中南大学 Traffic flow dynamic cooperative allocation method under distributed framework
CN113536499A (en) * 2021-07-12 2021-10-22 交通运输部规划研究院 Port collection and distribution planning simulation analysis method and system
CN113536499B (en) * 2021-07-12 2022-06-03 交通运输部规划研究院 Port collection and distribution planning simulation analysis method and system

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