Analysis of vehicle path optimisation in rural green logistics

Rural logistics is an important link to promote agricultural modernisation and rural revitalisation, but due to the relatively backward transport infrastructure and dispersed population in rural areas, its logistics system faces many challenges. This paper focuses on the vehicle path optimisation problem in rural logistics, and for the poor performance of the traditional vehicle path optimisation model in the complex rural road network, it proposes a solution based on genetic algorithm, and constructs a path optimisation model in line with the actual situation. Through simulation experiments, the optimisation method proposed in this paper can effectively reduce distribution costs, improve the overall efficiency of rural logistics, and provide strong support for the sustainable development of rural logistics.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054567
Primary Topic
Urban and Freight Transport Logistics
Type
article
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article

Analysis of vehicle path optimisation in rural green logistics

Junhua Xu, Yingxin Liu
Urban and Freight Transport Logistics
article

Analysis of vehicle path optimisation in rural green logistics

Junhua Xu, Yingxin Liu
article en

Abstract

Rural logistics is an important link to promote agricultural modernisation and rural revitalisation, but due to the relatively backward transport infrastructure and dispersed population in rural areas, its logistics system faces many challenges. This paper focuses on the vehicle path optimisation problem in rural logistics, and for the poor performance of the traditional vehicle path optimisation model in the complex rural road network, it proposes a solution based on genetic algorithm, and constructs a path optimisation model in line with the actual situation. Through simulation experiments, the optimisation method proposed in this paper can effectively reduce distribution costs, improve the overall efficiency of rural logistics, and provide strong support for the sustainable development of rural logistics.

Shenyang University (CN)
Openalex Percentile: Top 74%
Urban and Freight Transport Logistics
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