联网中物流配送车辆调度目标定位设计与仿真  

Design and Simulation of the Target Location of Logistics Distribution Vehicle Scheduling in Internet of Vehicle

作　　者：冯亮[1] 梁工谦[1] FENG Liang LIANG Gong - qian(School of Management, Northwestern Polytechnical University Xi＇an 710072, Shaanxi, China)

机构地区：[1]西北工业大学管理学院,陕西西安710072

出　　处：《计算机仿真》2017年第4期377-381,405,共6页Computer Simulation

基　　金：国家自然科学基金资助项目(U1404702)

摘　　要：在物流配送车辆调度的研究中,GPS/GIS技术的监控和调度系统功能多局限于实时定位、轨迹回溯和运行数据统计等方面,而利用和挖掘相关历史数据和实时信息进行配送车辆路径规划决策和动态调度却存在困难和不足。为了满足物流行业信息化和智能化的发展需求,设计了车联网环境下GPS/GIS协同物流配送车辆调度目标定位系统,并对车辆路径规划决策所需的相关数据类型、内容、来源和决策流程进行梳理和分析;同时,车辆目标定位系统实时获取的客户需求、配送车辆、配送节点和运行环境等相关信息对车辆调度和路径规划的影响,构建了带时间窗的动态车辆路径问题(DVRPTW)混合整数线性规划(MILP)模型,并在实验中通过混合遗传算法寻优对车辆配送路径进行动态调整和优化,最后,通过仿真验证了基于实时信息的车辆路径优化模型能够有效地降低企业运营成本,提高物流配送效率,改善物流服务质量。From the logistics industry information and intelligent development needs, a GPS/GIS collaborative in- telligent vehicle monitoring and scheduling system is designed by using the modern information and communication technologies represented by the Internet of things. The real - time dynamic vehicle routing problem （DVRP） MILP model is constructed based on the ability of information real - time acquisition and intelligent processing and the effect of the real - time information of vehicles and customers on the vehicle scheduling and path planning, which can provide a basis and reference for the logistics industry to reduce the business operating costs, improve the logistics and distribution efficiency and the logistics services quality.

关 键 词：物联网 物流配送系统 智慧物流 车辆调度 路径规划 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]