关键词: 智能物流信息系统, 实时揽件调度, ArcGIS, 加权kNN算法

Abstract:

In the end delivery service of logistics, the research on real-time express pick-up scheduling is still in blank. Based on GIS technology, Web technology and mobile development technology, an intelligent logistics information system for “last kilometer” distribution is constructed. In the framework of this system, weighted kNN classification algorithm is improved to make real-time express pick-up scheduling for delivery man in reality. Through the application of distribution activities on rookie post station（a website to provide end delivery service）, the intelligent logistics information system mentioned above can effectively improve the service quality of the logistics network. Meanwhile, the real-time express pick-up scheduling algorithm proposed in this paper has a significant effect on solving practical problems.

Key words: intelligent logistics information system, real-time express pick-up scheduling, ArcGIS, weighted kNN algorithm