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Optimization of urban unmanned logistics distribution path with multiple distribution centers

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conference contribution
posted on 2023-02-09, 11:01 authored by Xiyu Tong, Jueliang Hu, Shuguang Han, Diwei ZhouDiwei Zhou

In addition to the great prospects for development, unmanned distribution has attracted a great deal of social attention as a new type of logistics distribution mode. The use of electric unmanned vehicles for urban logistics distribution can not only reduce enterprise costs but also achieve non-contact distribution and rapid logistics response for unmanned logistics distribution in multiple distribution centers. A multi-distribution center urban unmanned logistics distribution path optimization model is developed for minimizing total cost, taking into account constraints such as battery capacity of electric unmanned vehicles, customer time windows, simultaneous pickup and delivery, and vehicle balance between distribution centers. In this study, an improved genetic algorithm was designed with a reasonable route optimization strategy, and its effectiveness was verified through a variety of calculation examples. Our model was compared with other variant models and parameters. As a result of the analysis, it can be seen that the established model and algorithm can improve the vehicle path and save the distribution costs. This research can promote the development of urban unmanned logistics distribution mode and provide theoretical reference.

Funding

NSFC (12071436)

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Proceedings of SPIE

Volume

12460

Source

International Conference on Smart Transportation and City Engineering (STCE 2022)

Publisher

Society of Photo-optical Instrumentation Engineers (SPIE)

Version

  • VoR (Version of Record)

Rights holder

© SPIE

Publisher statement

Copyright 2023 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.

Publication date

2023-02-08

Copyright date

2023

ISBN

9781510660250; 9781510660267

ISSN

0277-786X

eISSN

1996-756X

Language

  • en

Location

Chongqing, China

Event dates

12th -14th August 2022

Depositor

Dr Diwei Zhou. Deposit date: 8 February 2023

Article number

124600Z