基于粒子群优化算法的动态停车路径诱导技术

Dynamic Parking Route Guidance Method Based on Particle Swarm Optimization

首先分析了停车诱导系统(PGIS)中动态路径诱导的特点;为了达到实时诱导技术要求,介绍了一种生物界仿真算法——粒子群优化算法的特点及其应用在最优路径搜索中的基本方法;仿真实验表明该方法搜索速度非常快,适合用于动态停车路径诱导技术中。

This paper first analyzes the characteristic of dynamic route guidance in Parking Guidance Information System （PGIS）;for requirement of real-time guidance,this paper introduces the characteristic of a natural algorithm-- Particle Swarm Optimization and the basic procedure when it is used in searching for the optimum route;a simulation experiment shows that the method has very high searching speed and can be used in dynamic parking route guidance.