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作 者:杨源 YANG Yuan(China Postal Express&Logistics Co.,Ltd.,Beijing,100053,China)
机构地区:[1]中国邮政速递物流股份有限公司,北京100053
出 处:《智能城市应用》2025年第4期95-97,共3页Smart City Application
摘 要:智能网联环境下,车路协同系统通过实现车辆与道路基础设施、环境的智能交互,显著提升了交通系统的安全性与通行效率。路径规划算法作为智能网联车辆实现高效出行的关键技术,受到广泛关注。文中在分析车路协同系统架构的基础上,综述现有路径规划算法的发展现状,重点研究基于智能网联环境下多源信息融合的协同路径规划算法设计,并通过仿真测试验证算法的有效性和实用性,旨在为智能交通系统的优化提供理论依据和技术支持。In the intelligent networked environment,the vehicle road collaboration system significantly improves the safety and traffic efficiency of the transportation system by achieving intelligent interaction between vehicles,road infrastructure,and the environment.The path planning algorithm,as a key technology for intelligent connected vehicles to achieve efficient travel,has received widespread attention.On the basis of analyzing the architecture of vehicle road collaborative systems,this article summarizes the current development status of existing path planning algorithms,focusing on the design of collaborative path planning algorithms based on multi-source information fusion in intelligent networked environments.The effectiveness and practicality of the algorithms are verified through simulation testing,aiming to provide theoretical basis and technical support for the optimization of intelligent transportation systems.
关 键 词:车路协同 路径规划 智能网联 多源信息融合 智能交通系统
分 类 号:U495[交通运输工程—交通运输规划与管理]
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