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-Mile” 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 CaiNiao post station (an outlet 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.
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Acknowledgment
This research was supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 17KJB520033), and QingLan Project of the Jiangsu Higher Education Institutions of China (No. Su Teacher [2018] 12).
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Ying, Y., Ren, K., Liu, Y. (2019). Research on Real-Time Express Pick-Up Scheduling Based on ArcGIS and Weighted kNN Algorithm. In: Ni, W., Wang, X., Song, W., Li, Y. (eds) Web Information Systems and Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11817. Springer, Cham. https://doi.org/10.1007/978-3-030-30952-7_59
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DOI: https://doi.org/10.1007/978-3-030-30952-7_59
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