Coordinated optimization method and system for dynamic variable lanes at entrance and exit of intersection in mixed driving environment of automatic driving and manual driving
By setting up a left-turn entrance lane to the left of the exit lane at the intersection and introducing dynamically variable entrance and exit lanes, and by using nonlinear programming and genetic algorithms to optimize lane functions and vehicle allocation, the problem of insufficient lane resource utilization in a mixed environment of autonomous and manual driving is solved, and efficient synchronous release and passage of vehicles is achieved.
Patent Information
- Application Number
- CN202511539942.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-27
- Publication Date
- 2026-01-20
AI Technical Summary
At intersections where autonomous and manual driving coexist, existing technologies cannot effectively utilize lane resources, leading to increased vehicle waiting times and low traffic efficiency. In particular, when traffic demand is unbalanced, lane oversaturation or resource waste can easily occur.
By setting the left-turn entrance lane to the left of the exit lane and setting dynamic variable lanes at the entrance and exit of the intersection, the nonlinear programming model and genetic algorithm are used to optimize lane functions and vehicle allocation, so as to achieve the same-phase release of left-turning and oncoming straight-through vehicles, dynamically adjust lane functions and stop line positions, and optimize the utilization of lane resources.
It reduces fleet waiting time, improves lane utilization and intersection efficiency, adapts to the characteristics of mixed fleets under different levels of autonomous driving penetration, and achieves seamless vehicle passage and efficient synchronous release.