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Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8–9, 2021, Proceedings, Part I

Research Article

Research on Transportation Route Planning Method of Regional Logistics Network Based on Transfer Learning

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  • @INPROCEEDINGS{10.1007/978-3-030-82562-1_15,
        author={Bo Hou and Chang-song Ma},
        title={Research on Transportation Route Planning Method of Regional Logistics Network Based on Transfer Learning},
        proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I},
        proceedings_a={ICMTEL},
        year={2021},
        month={7},
        keywords={Regional logistics network Logistics path planning Migration learning Path objective function Optimal planning},
        doi={10.1007/978-3-030-82562-1_15}
    }
    
  • Bo Hou
    Chang-song Ma
    Year: 2021
    Research on Transportation Route Planning Method of Regional Logistics Network Based on Transfer Learning
    ICMTEL
    Springer
    DOI: 10.1007/978-3-030-82562-1_15
Bo Hou1,*, Chang-song Ma1
  • 1: Mianyang Teachers’ College
*Contact email: houbo698@yeah.net

Abstract

China is in a period of rapid development of various modes of transportation, comprehensive transportation network is developing and improving rapidly, and the scope of regional logistics network transportation is also expanding. The comprehensive transportation system is the key direction of China's transportation development in the future. It is an important basis for the social and economic development and the improvement of residents' living standards, and is also the main functional element of logistics activities. Therefore, based on transfer learning, this paper designs a transportation path planning method for regional logistics network. Based on the construction of regional logistics network transportation path node and the determination of transportation path objective function, the optimal scheme of regional logistics network transportation path planning is selected. The experimental results show that: compared with the traditional transportation path planning method, this method can reduce the loss of transportation funds and time in logistics network to a greater extent.

Keywords
Regional logistics network Logistics path planning Migration learning Path objective function Optimal planning
Published
2021-07-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-82562-1_15
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