中文摘要：

从物流行业信息化和智能化发展的需求出发,利用以物联网为代表的现代信息和通信技术,设计了GPS/GIS协同下的智能车辆监控和调度系统。同时,基于该调度系统具有的信息实时获取和智能处理能力,考虑配送车辆及客户需求等相关实时信息对车辆调度和路径规划的影响,构建了基于实时信息且带时间窗的动态车辆路径问题（DVRPTW）混合整数规划（MIP）模型。结合模拟实验,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,为物流行业降低企业运营成本、提高物流配送效率、改善物流服务质量提供借鉴和参考。

英文摘要：

From the logistics industry information and intelligent development,we designed a GPS/GIS collaborative in- telligent vehicle monitoring and scheduling system by using the modern information and communication technologies re- presented by the Internet of things. And we constructed the real-time dynamic vehicle routing problem （DVRP） MIP model 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 provides 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.