An intersection vehicle track and signal collaborative optimization method in a hybrid intelligent network connection environment belongs to the field of intelligent traffic, and comprises the following steps: defining an intersection optimization area, executing different signal optimization strategies for different defined areas, executing an enhanced adaptive signal optimization strategy for a signal control area, and executing a signal control area; executing a red light phase signal optimization strategy on the conflict identification area; establishing different transverse and longitudinal track optimization control models of the intelligent network connection vehicle and the manual driving vehicle according to different vehicle types and position relations; and iteratively updating the two signal optimization strategies and the vehicle transverse and longitudinal control strategy based on different iteration time intervals. According to the invention, the fuel economy and driving comfort of the vehicle can be improved on the basis of ensuring the maximum passing efficiency of the vehicle.
一种混合智能网联环境下交叉口车辆轨迹和信号协同优化方法,属于智能交通领域,包括以下步骤:对交叉口优化区域进行界定,对界定的不同区域执行不同的信号优化策略,对信号控制区执行增强自适应信号优化策略,对冲突识别区执行红灯相位信号优化策略;根据车辆类型和位置关系的不同建立不同的智能网联车辆和人工驾驶车辆横纵向轨迹优化控制模型;基于不同的迭代时间间隔迭代更新上述两种信号优化策略和车辆横纵向控制策略。本发明能够在确保车辆通行效率最大化的基础上,提高车辆的燃油经济性和驾驶舒适性。
Intersection vehicle track and signal collaborative optimization method in hybrid intelligent network connection environment
一种混合智能网联环境下交叉口车辆轨迹和信号协同优化方法
2024-12-31
Patent
Electronic Resource
Chinese
European Patent Office | 2025
|European Patent Office | 2025
|European Patent Office | 2022
|Vehicle track and intersection signal collaborative optimization method and system
European Patent Office | 2024
|European Patent Office | 2024
|