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
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引用本文:张艳锋.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[J].计算技术与自动化,2025,(3):65-70
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作者单位
张艳锋 (西咸新区轨道交通投资建设有限公司,陕西 西安 710000) 
中文摘要:针对初步规划的自动驾驶路径在实际应用中效果欠佳,导致无人驾驶技术安全阈值较低的问题,提出了一种基于自主决策和多Agent协同控制的地铁全自动无人驾驶技术。该技术通过多Agent协同控制框架,利用传感器实时获取地铁环境信息,并进行精确的误差分析以精确定位地铁车体。在此基础上,系统对当前驾驶环境中的所有路径点进行深入分析,生成初步的自动驾驶路径规划结果。随后,通过应用自主决策算法,对初步规划结果进行智能化优化,以获取最优的自动驾驶路径,执行地铁全自动无人驾驶任务,实现地铁的无人驾驶。实验结果表明,该技术在实际应用中安全阈值更高,自动驾驶的应用性能更好。
中文关键词:自主决策  多Agent协同控制  地铁  全自动无人驾驶  无人驾驶技术  自主导航
 
Research on Fully Automatic Unmanned Driving Technology for Subway Based on Autonomous Decision-making and Multi Agent Collaborative Control
Abstract: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 conducts 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.
keywords:autonomous decision-making  multi agent collaborative control  subway  fully automated unmanned driving  autonomous driving technology  autonomous navigation
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