Research Article
Research on Route Optimization of Coal Multimodal Transport in China
@INPROCEEDINGS{10.4108/eai.2-12-2022.2327955, author={Maojie Lv and Jiankun Hu}, title={Research on Route Optimization of Coal Multimodal Transport in China}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={coal transportation multimodal transportation route optimization ant colony algorithm}, doi={10.4108/eai.2-12-2022.2327955} }- Maojie Lv
Jiankun Hu
Year: 2023
Research on Route Optimization of Coal Multimodal Transport in China
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2327955
Abstract
Transportation is the main way to solve the regional separation of supply and demand of China's coal resources. Aiming at the problem of coal transportation path selection, this paper constructs a comprehensive coal transportation path selection model, and selects ant colony algorithm as the main algorithm tool to solve the problem based on the actual coal transportation network in China. The model finds the optimal path and minimizes the transportation cost of the whole network under the condition that the supply of node is limited and the demand of each consumer place is satisfied. Therefore, it is of great practical and theoretical significance to improve the division and layout of the coal transportation market, make full use of the existing transportation conditions and reduce the logistics cost by studying the multimodal transport route selection of China's coal resources.
