Collaborative optimization method for intersection signal lamp and intelligent network connection vehicle track

By collecting vehicle status information at urban intersections and optimizing signal light parameters and vehicle trajectory in combination with adaptive traffic signal models and vehicle delay estimation models, the neglect of real-time traffic flow status and insufficient handling of hybrid traffic conditions in the prior art are solved, and compatibility between efficient intersection traffic control and edge cloud deployment is achieved.

CN119723875AActive Publication Date: 2025-03-28TSINGHUA UNIVERSITY
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Patent Information

Application Number
CN202411848316.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-16
Publication Date
2025-03-28
Estimated Expiration
2044-12-16

AI Technical Summary

Technical Problem

The existing technology lacks consideration of the real-time state of traffic flow in urban intersection traffic control, fails to effectively deal with the mixed traffic conditions of intelligent connected vehicles and human driving vehicles, and fails to fully optimize the signal light parameters and vehicle trajectory, resulting in low traffic efficiency at the intersection and unable to meet the actual deployment requirements of edge clouds.

Method used

By collecting the status information of intelligent connected vehicles and human driving vehicles within the intersection, combining the pre-established adaptive traffic signal model and vehicle delay estimation model, the signal light parameters and vehicle trajectory are optimized, and the final trajectory of intelligent connected vehicles is generated to meet the preset generalized delay conditions.

Benefits of technology

The traffic optimization of urban intersections is achieved, and the interaction characteristics of signal lights and vehicle time and hybrid traffic conditions are taken into account, which improves the traffic efficiency of intersections. The running time of the algorithm can meet the actual deployment requirements of edge clouds.

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Abstract

The invention relates to the technical field of intelligent network connection vehicles, in particular to an intersection signal lamp and intelligent network connection vehicle trajectory collaborative optimization method, which comprises the following steps: acquiring state information of all vehicles within a certain range of an intersection; obtaining mathematical expressions of signal lamp parameters of all lanes based on the entrance lanes of the intersection and a pre-established adaptive traffic signal model; generalized delays and vehicle tracks corresponding to different signal lamp parameters are obtained based on a pre-constructed vehicle delay estimation model; and solving an optimal signal lamp parameter and a corresponding vehicle track based on a heuristic search algorithm. Therefore, the problems that in the related technology, the real-time state of the traffic flow is not considered, the mixed traffic condition of mixed driving of the intelligent network connection vehicle and the human driving vehicle and the interaction relation between the signal lamp and the vehicle are not considered, so that the signal lamp parameter and the track of the intelligent network connection vehicle cannot be collaboratively optimized, the intersection traffic efficiency is low, and the traffic efficiency is poor are solved. And actual requirements cannot be met.
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