基于实时交通流信息的中心式动态路径诱导系统行车路线优化技术研究

Research on Vehicle Route Optimization of Centrally Dynamic Route Guidance SystemsBased on Real-time Traffic Flow Information

近年来,世界各国纷纷致力于新兴交通科技,如智能运输系统(IntelligentTransportationSystems,ITS)的研究和应用,以应对目前严峻的交通环境。笔者综合应用道路检测器检测的交通流量数据以及路段交通流量与路段行程时间的内在联系,运用增量加载最短路优化的方法对智能运输系统的核心技术—城市交通流诱导系统(UTFGS)中的中心式动态路径诱导系统中的行车路线优化技术展开研究。

These years every country applies modern science and technology to solve traffic problems.This paper utilizes the real-time traffic data,the relationship between traffic volume and travel time and the increment-load short-distance optimization algorithm to research vehicle route optimization technique of Centrally Dynamic Route Guidance Systems which is one branch of Urban Traffic Flow Guidance Systems (UTFGS,the core of Intelligent Transportation Systems).