基于粒子群算法的最优物流运输线路规划方法研究

Optimal Logistics Transportation Route Planning Method Based on Particle Swarm Optimization

物流运输线路规划受到不同路况车流量影响,运输效率降低,提出基于粒子群算法的最优物流线路规划方法。通过车联网技术获取城市交叉口的交通信息,建立城市交叉口车辆动态信息流获取模型,选取一个城市交叉口为预测点,利用泊松分布模型预测城市交叉口车流量变化,结合粒子群算法组建引导需求和指令匹配,对车辆进行路径引导,进一步实现不同路况下的车流量调控,实现物流运输的最优路径规划。结果表明,该方法可以有效预测城市交叉口车流量,及时对车辆进行引导,有效地避开拥堵,实现物流配送路径问题优化,提高物流运输效率,具有很高的应用优势。

The logistics transportation route planning is affected by the traffic flow of road conditions,and the transportation efficiency is reduced.This paper proposes an optimal logistics route planning method based on particle swarm optimization algorithm.The traffic information of urban intersection is obtained through the Internet of vehicles technology,and the vehicle dynamic information flow acquisition model of urban intersection is established.An urban intersection is selected as the prediction point,and the Poisson distribution model is used to predict the change of vehicle flow at urban intersection.Combined with particle swarm optimization algorithm,the guidance demand and instruction matching are established to guide the vehicle path,further realize the traffic flow control under different road conditions,and realize the optimal path planning of logistics transportation.The results show that this method can effectively predict the traffic flow at urban intersections,guide the vehicles in time,effectively avoid congestion,realize the optimization of logistics distribution path problem,and improve the efficiency of logistics transportation.