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.
本申请涉及智能网联车辆技术领域,特别涉及一种交叉路口信号灯与智能网联车辆轨迹协同优化方法,其中,方法包括:采集交叉路口一定范围内所有车辆的状态信息;基于交叉路口的进口车道和预先建立的自适应交通信号模型得到所有车道的信号灯参数的数学表达;基于预先构建的车辆延误估计模型得到不同信号灯参数对应的广义延误、车辆轨迹;基于启发式搜索算法求解最优的信号灯参数和对应的车辆轨迹。由此,解决了相关技术中,缺乏对交通流实时状态的考虑,同时也未考虑智能网联车辆与人类驾驶车辆混行的混合交通条件、信号灯与车辆之间的交互关系,导致信号灯参数与智能网联车辆的轨迹不能协同优化,路口交通效率低,无法满足实际要求等问题。
Collaborative optimization method for intersection signal lamp and intelligent network connection vehicle track
交叉路口信号灯与智能网联车辆轨迹协同优化方法
2025-03-28
Patent
Electronic Resource
Chinese
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