基于自主决策和多Agent协同控制的地铁全自动无人驾驶技术研究OA

In response to the problem of poor effectiveness of the initially planned autonomous driving path in practical applications,which leads to a low safety threshold for autonomous driving technology,this paper proposes a subway fully automated autonomous driving technology based on autonomous decision-making and multi-agent collaborative control.This technology utilizes a multi-agent collaborative control framework,utilizing sensors to obtain real-time subway environmental information and conducting precise error analysis to accurately locate subway vehicle bodies.On this basis,the system con-ducts in-depth analysis of all path points in the current driving environment and generates preliminary autonomous driving path planning results.Subsequently,by applying autonomous decision-making algorithms,the preliminary planning results are intelligently optimized to obtain the optimal autonomous driving path,execute fully automated autonomous driving tasks for the subway,and achieve autonomous driving of the subway.The experimental results indicate that this technology has a higher safety threshold and better performance in the application of autonomous driving in practical applications.