Vehicle arrival prediction correction method for intelligent network-connected mixed traffic flow signalized intersection

A technology for mixed traffic and intersections, which is applied in the field of vehicle arrival prediction and correction at intelligent network-connected mixed traffic flow signal intersections. Effective and improve the effect of traffic efficiency

Active Publication Date: 2022-08-05
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this environment, the randomness of human driving behavior increases the difficulty of predicting the overall traffic behavior

Method used

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  • Vehicle arrival prediction correction method for intelligent network-connected mixed traffic flow signalized intersection
  • Vehicle arrival prediction correction method for intelligent network-connected mixed traffic flow signalized intersection
  • Vehicle arrival prediction correction method for intelligent network-connected mixed traffic flow signalized intersection

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Experimental program
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Effect test

Embodiment 1

[0058] figure 1 This is a flow chart of the method for correcting the vehicle arrival prediction according to the embodiment of the present invention. The correction method includes the following steps:

[0059] Step S1, setting a control area on the upstream section of the target intersection area.

[0060] In the target intersection area and the control area set up on its upstream section, the intersection intelligent control unit, roadside unit and traffic detector are arranged, and a central intelligent intersection system is built to exchange information with intelligent networked vehicles. figure 2 This is a schematic diagram of the structure of an intelligent signalized intersection system according to an embodiment of the present invention.

[0061] In step S2, the intelligent intersection system detects the vehicle entering the control area and its state. For a human-driven vehicle (HDV) without a network connection, the intelligent control unit obtains the informa...

Embodiment 2

[0107] The embodiment of the present invention proposes a central intelligent intersection system. like figure 2 As shown, the central intelligent intersection system includes a control area set in the target intersection area and its upstream section, and an intersection intelligent control unit, a roadside unit and a traffic detector are arranged.

[0108] The traffic detector and the roadside unit are used to detect the driving state of the vehicle entering the control area, and feed back the detection result to the intelligent control unit.

[0109] The intelligent control unit includes the following functional modules:

[0110] Communication module, whose functions include: ①Receive vehicle information in the control area transmitted by the roadside unit; ②Get real-time signal light status information; Trajectory and estimated time of arrival at the intersection.

[0111] The functions of the calculation module include: ① predicting the arrival time of human-driven ve...

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Abstract

The invention discloses a method for predicting and correcting the arrival of vehicles at an intersection with an intelligent network-connected mixed traffic flow signal. According to the predicted arrival time of the corresponding vehicle, it is judged whether to make prediction corrections to other vehicles in the control area; if it is determined to make corrections, starting from vehicle No. 0, the predicted arrival times of vehicles in the control area are corrected in ascending order until the termination conditions are met. Specifically, for human-driven vehicles, combined with the revised predicted arrival time of the preceding vehicle, the predicted arrival time is revised; for intelligent networked vehicles, the revised predicted time of the preceding vehicle is reported for adjustment of the driving trajectory and feedback. Updated travel trajectories and revised predicted arrival times. The invention provides information support for the optimization and dynamic adjustment of the driving trajectory of the intelligent networked vehicle, so as to achieve the purpose of improving the traffic efficiency of the intersection and reducing the fuel consumption.

Description

technical field [0001] The invention relates to the technical field of signal intersection management and intelligent networked vehicle control, in particular to a method for predicting and correcting the arrival of vehicles at a signalized intersection of intelligent networked mixed traffic flow. Background technique [0002] As the key node of the urban road network, the signalized intersection is the trigger point of traffic congestion and the frequent occurrence point of traffic conflict, and it is also the key area that causes high fuel consumption and exhaust pollution of vehicles. According to previous research and analysis, the main reason is that human drivers and traditional vehicles cannot know the signal light status of the intersection ahead in advance, and often arrive at the intersection during the red light period, resulting in rapid deceleration, rapid acceleration, and long idle speed. And multiple starts and stops will cause vehicle delays, fuel consumptio...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/0967H04W4/44
CPCG08G1/0129G08G1/096783G08G1/096725H04W4/44Y02D30/70
Inventor 刘攀杨梦琳俞灏柏璐季彦婕
Owner SOUTHEAST UNIV
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