The invention discloses a multi-lane track optimization method for an intelligent networked automobile. The method comprises the following steps: step 1, establishing a state and a constraint condition of the intelligent networked automobile based on a multi-lane space-time position relationship; 2, constructing a spatial-temporal trajectory composite optimization model based on the traffic efficiency and the fuel economy, and solving through a Pontryagin maximum algorithm; and step 3, a multi-lane collaborative lane changing rule is set, and the optimal space-time trajectory of the intelligent network connection automobile in the multi-lane environment is obtained based on a reinforcement learning Q-learning algorithm. The state and constraint of the intelligent networked automobile are defined by combining a multi-lane space-time position relation, a space-time track composite optimization model is constructed by comprehensively considering the passing economic efficiency and the fuel economy, solving is carried out, a collaborative lane changing rule is set, an optimal lane changing strategy is obtained, the waiting time of the automobile on the road is effectively shortened while the safety of the automobile is guaranteed, and the driving safety of the automobile is improved. The traffic efficiency of the intersection is improved; and the environment-friendly economy is improved.
本发明公开了一种智能网联汽车多车道轨迹优化方法,包括:步骤一、基于多车道时空位置关系建立智能网联汽车状态与约束条件;步骤二、基于通行效率和燃油经济性构建时空轨迹复合优化模型,并通过庞特里亚金极大值算法进行求解;步骤三、设定多车道的协同换道规则,并基于强化学习Q‑learning算法获取多车道环境下智能网联汽车的最优时空轨迹。结合多车道时空位置关系定义智能网联汽车状态与约束,综合考虑通行经济效率与燃油经济性构建时空轨迹复合优化模型并进行求解,设定协同换道规则,获取最优的换道策略,在保证车辆安全的同时,有效缩短车辆在路上等待的时间,提升了交叉路口通行效率并改善环保经济性。
Multi-lane track optimization method for intelligent networked automobile
一种智能网联汽车多车道轨迹优化方法
2024-11-29
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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