城市物流中转站点实时动态空车调配算法设计与仿真研究

Study on Algorithm Design and Simulation of Real-time Dynamic Empty Wagon Scheduling at Urban Logistics Transfer Stations

针对大数据情形下的多物流中转站点间的空车实时调配问题,以区域标点为中心将其周边可用于服务的物流站点建立起物流中转运输服务流线网络,并据此建立了流线基础上的多物流中转站点的空车调配服务模型。并且基于实例数据,运用计算机仿真的手段将模型优化运算出的调配方案与不经过模型优化的随机模拟出的几组调配方案进行了对比分析。

In this paper,we studied the real-time scheduling of the empty wagons between multiple urban logistics transfer stations within the big data environment,then with the regional marker as the center,built the logistics transfer service flow network,then on such basis,established the corresponding multiple transfer station empty wagon scheduling model,and at the end,in connection with empirical data,simulated the scheduling plan obtained through this model before comparing it with several outcomes from random simulations without the model optimization.