基于GIS先验知识的智能配送优化及实现

摘要

As the core process of the logistics .the efficiency of distribution will affect the development of logistics industry directly. The optimal route planning of distribution does not match to the actual experience because of much the current distribution schedule depends on traditional mathematical models. The paper proposes a algorithm that took real-time traffic information, driving experience and other practical factors as GIS prior knowledge to guide the intelligent distribution and carried out to achieve. Application results show that the research can improve the efficiency of logistics and distribution greatly.%物流配送作为物流产业的核心进程,其效率的高低直接影响整个物流业的发展.鉴于目前的配送调度多依赖于传统的数学模型导致规划的最优路线与实际经验不相符,文章提出将实时交通信息、行车经验等现实因素作为GIS先验知识指导智能配送的优化的算法并进行实现.应用结果表明该成果能在很大程度上提高物流配送的效率.