智能驾驶车辆在复杂交通环境下的实时路径规划方法  

Real time path planning method for intelligent driving vehicles in complex traffic environments

作　　者：许国纪 吴鹏辉 陈玲玲[1] Xu Guoji;Wu Penghui;Chen Lingling(Jilin Institute of Chemical Technology,Jilin 132000,China)

机构地区：[1]吉林化工学院,吉林吉林132000

出　　处：《汽车知识》2024年第12期239-241,共3页AUTOMOTIVE KNOWLEDGE

摘　　要：随着智能驾驶技术的快速发展,如何在复杂多变的交通环境下实现高效、安全的路径规划成为关键。首先,本文介绍了智能驾驶车辆路径规划的基础理论,包括路径规划的基本概念、常用算法以及环境建模与地图表示。其次,分析了复杂交通环境下的感知与数据处理技术,以及实时路径规划算法的设计与优化方法。最后,针对实时路径规划面临的挑战,如NP难优化问题、动态环境适应性、数据不确定性等,提出了相应的解决方案。本文旨在为智能驾驶车辆在复杂交通环境下的实时路径规划提供理论支持和技术参考,推动智慧交通系统的发展。With the rapid development of intelligent driving technology,how to realize efficient and safe path planning in complex and changing traffic environment becomes key.Firstly,this paper introduces the basic theories of intelligent driving vehicle path planning,including the basic concepts of path planning,commonly used algorithms,and environment modeling and map representation.Secondly,it analyzes the perception and data processing technology under the complex traffic environment,as well as the design and optimization methods of real-time path planning algorithms.Finally,corresponding solutions are proposed for the challenges facing real-time path planning,such as the NP difficult optimization problem,dynamic environment adaptation,data uncertainty.The aim of this paper is to provide theoretical support and technical reference for real-time path planning of intelligent driving vehicles in complex traffic environments,and to promote the development of intelligent transportation systems.

关 键 词：智能驾驶车辆 复杂交通环境 实时路径规划 智慧交通 

分 类 号：U467.4[机械工程—车辆工程]