Abstract
The traditional logistics vehicle scheduling system can only perform scheduling based on static information, which makes it difficult to change the scheduling decision according to the actual situation, resulting in a high logistics distribution cost and poor timeliness of Veneto. In response to the above problems, this research designs an intelligent dispatching system for logistics distribution vehicles based on migration learning. The hardware part of the system is composed of three modules: GPS satellite positioning module, GPRS wireless communication module and ARM central control module, and then uses migration learning theory to locate the vehicle position. Realize the dispatch of delivery vehicles by establishing a dynamic dispatch model. Through comparative experiments with traditional dispatching systems, it is verified that the system in this paper can effectively reduce the cost of logistics and improve the timeliness of distribution, and has certain practical value.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yu, L., Guan, Y. (2021). Design of Intelligent Dispatching System for Logistics Distribution Vehicles Based on Transfer Learning. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_29
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DOI: https://doi.org/10.1007/978-3-030-82562-1_29
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