Bottleneck upstream lane level traffic state prediction system and implementation method

A traffic state and prediction system technology, which is applied in the traffic control system of road vehicles, traffic control system, traffic flow detection, etc., can solve the problems of insufficient accuracy and coarse granularity of traffic state prediction values

Inactive Publication Date: 2017-05-24
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention discloses a lane-level traffic state prediction system upstream of the bottleneck and its implementation method. The purpose of the present invention is to overcome the problem that existing prediction systems and methods only use historical traffic parameters as the basis for prediction, while ignoring the influence of lane closing at the bottleneck on driving behavior and The influence caused by the traffic capacity leads to defects such as the coarse granularity and insufficient accuracy of the traffic state prediction value

Method used

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  • Bottleneck upstream lane level traffic state prediction system and implementation method
  • Bottleneck upstream lane level traffic state prediction system and implementation method
  • Bottleneck upstream lane level traffic state prediction system and implementation method

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Experimental program
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Embodiment 1

[0069] Embodiment 1 (theoretical basis)

[0070] Such as figure 1 As shown, the bottleneck upstream lane-level traffic state prediction system is given, including information collection module, processing module, publishing module and transmission module;

[0071] The information collection module includes an information collection unit and a first storage unit for collecting and storing information; the first storage unit is coupled to the information collection unit; the information collected by the information collection unit includes the time when the vehicle passes through the detector and the Vehicle speed information at any time;

[0072] The processing module includes a state distribution prediction unit, a merge model unit, a lane selection model unit, a car-following and lane-changing unit;

[0073] The state distribution prediction unit receives the information from the information collection unit, and determines the initial distribution state and speed of the veh...

Embodiment 2

[0126] Embodiment 2 (application example)

[0127] Based on above embodiment 1, application embodiment 2 is further provided.

[0128] The lane-level traffic state prediction system structure upstream of the bottleneck is as follows: figure 1 Shown: including information collection module, processing module, release module and transmission module. The information collection module includes an information collection unit and a first storage unit for collecting and storing information; the first storage unit is coupled to the information collection unit. The release module includes an information release terminal and a second storage unit, the information release terminal is coupled to the second storage unit, and is used to display the travel time of the road section, the queue length and average speed of each lane, and the like. The transmission module is used for data transmission between the acquisition module, the processing module and the publishing module.

[0129] The...

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Abstract

The invention provides a bottleneck upstream lane level traffic state prediction system and an implementation method. The prediction system comprises an information acquisition module, a processing module, a release module and a transmission module; the speed and passing time of each vehicle are obtained via the information acquisition module, then the initial time-space distribution state and traffic of bottleneck upstream traffic flow are obtained, and the time-space distribution state of the traffic flow in different lanes at any moment is predicted in the information processing module based on a driver risk threshold in combination with a confluence model at the bottleneck and a lane selection model at the upstream of the bottleneck. The confluence model and the lane selection model involve in the influence of different advantages of different lanes at the upstream of the bottleneck at a confluence point, and the precision of bottleneck upstream traffic state prediction can be improved to the lane level, so that the accuracy of traffic state prediction can be greatly improved, theoretical and technical supports are provided for dynamic control of traffic managers, intelligent induction, efficient management and quick decision, and more accurate travel information is provided for road users.

Description

technical field [0001] The invention relates to a bottleneck upstream lane-level traffic state prediction system and an implementation method, belonging to the technical field of dynamic traffic prediction intelligent management. Background technique [0002] The estimation and prediction of road traffic state is an important part of intelligent transportation system, and it is also an important information basis for dynamic traffic management decision-making and travel decision-making. Real-time and accurate traffic state prediction can provide support for dynamic management, real-time guidance, and information release of traffic management departments. It is also the basis for road segment travel time prediction, and has important practical significance for dynamic traffic management and travel decisions. [0003] According to its principle, the current research on road segment traffic state prediction is mainly divided into the following three categories: ① mathematical s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0133G08G1/0141
Inventor 付强林航飞刘春姚崇富
Owner TONGJI UNIV
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