WO2015015235A1 - Système de guidage routier dynamique pour automobilistes - Google Patents
Système de guidage routier dynamique pour automobilistes Download PDFInfo
- 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
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
Un système de guidage routier dynamique (DTGS) fait l'objet d'un brevet international. Le DTGS intègre des comptages automatiques associés au trafic (ATC), une modélisation macroscopique de demande de trajet (TDM), et une technique de modélisation mésoscopique de réseau - attribution de trafic dynamique (DTA) servant à optimiser des plans en route avec anticipation par rapport au temps pour des automobilistes. Ces plans comprennent des choix optimaux de parcours en temps réel, les heures de départ et d'arrivée basées sur une condition d'anticipation de circulation le long du parcours de façon à réduire à un minimum le temps de trajet réel vécu. Un traitement informatique en nuage, la technologie associée à l'information de l'Internet mobile et des dispositifs mobiles personnels sont utilisés comme mémoire de données et comme outils de communication pour une intégration aux GPS existants. L'invention revendique un traitement technique innovant et faisable permettant de réaliser le DTGS de façon, respectivement, à réduire plus efficacement à un minimum les temps de trajet vécus par les automobilistes, les retards et les coûts et, par conséquent, le DTGS améliore la performance de système de transport en diminuant les gros embouteillages et la pollution de l'air grâce au système.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/IB2013/001656 WO2015015235A1 (fr) | 2013-07-29 | 2013-07-29 | Système de guidage routier dynamique pour automobilistes |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/IB2013/001656 WO2015015235A1 (fr) | 2013-07-29 | 2013-07-29 | Système de guidage routier dynamique pour automobilistes |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2015015235A1 true WO2015015235A1 (fr) | 2015-02-05 |
Family
ID=52431068
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2013/001656 WO2015015235A1 (fr) | 2013-07-29 | 2013-07-29 | Système de guidage routier dynamique pour automobilistes |
Country Status (1)
Country | Link |
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WO (1) | WO2015015235A1 (fr) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110942625A (zh) * | 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 | 基于现实路径流量回溯调节的动态od估计方法及装置 |
CN111311907A (zh) * | 2020-02-13 | 2020-06-19 | 北京工业大学 | 基于元胞传输模型的不确定基本图参数辨识的识别方法 |
CN112991745A (zh) * | 2021-04-30 | 2021-06-18 | 中南大学 | 分布式框架下交通流动态协同分配方法 |
CN113536499A (zh) * | 2021-07-12 | 2021-10-22 | 交通运输部规划研究院 | 一种港口集疏运规划仿真分析方法及系统 |
Citations (3)
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 |
-
2013
- 2013-07-29 WO PCT/IB2013/001656 patent/WO2015015235A1/fr active Application Filing
Patent Citations (3)
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)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110942625A (zh) * | 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 | 基于现实路径流量回溯调节的动态od估计方法及装置 |
CN111311907A (zh) * | 2020-02-13 | 2020-06-19 | 北京工业大学 | 基于元胞传输模型的不确定基本图参数辨识的识别方法 |
CN111311907B (zh) * | 2020-02-13 | 2021-05-28 | 北京工业大学 | 基于元胞传输模型的不确定基本图参数辨识的识别方法 |
CN112991745A (zh) * | 2021-04-30 | 2021-06-18 | 中南大学 | 分布式框架下交通流动态协同分配方法 |
CN113536499A (zh) * | 2021-07-12 | 2021-10-22 | 交通运输部规划研究院 | 一种港口集疏运规划仿真分析方法及系统 |
CN113536499B (zh) * | 2021-07-12 | 2022-06-03 | 交通运输部规划研究院 | 一种港口集疏运规划仿真分析方法及系统 |
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