智能交通中单车辆最优动态路径规划策略研究

目前的交通现状,使人们无时无刻不在感受着交通拥挤、事故频发、尾气过度排放、能源供给失衡等问题,这些问题已经成为经济可持续发展中不可回避的障碍。智能交通方案是解决交通问题的一场信息化革命,动态最优路径规划策略作为智能交通出行者信息管理系统的重要问题,非常有必要值得研究。本文首先建立单车辆动态数学模型,采用基于周期的自主车辆规划算法,有效的避免拥挤的交通路段,使车辆出行代价降低,提高了车辆路径规划的实时效果和准确度。

Dynamic Path Planning of Single Vehicle of Intelligent Transportation System

The current traffic situation makes people feel the excessive congestion, frequent accidents, exhaust emissions, energy supply imbalance and other issues, which has become an inevitable obstacle in economic sustainable development. Intelligent transportation is a information revolution of solving the problem of traffic, the optimal dynamic path planning strategy as an important issue in intelligent traffic network information management system, is worthy of study. This paper established the dynamic mathematical model of single vehicle, used vehicle planning algorithm based on period, effectively avoided the traffic road, reduce vehicle travel cost, improve the real-time effect and accuracy of the vehicle path planning.