Paper
28 August 2024 Multiresource scheduling optimization for tractor and trailer transportation with changing carrying capacity in network
Qi Xu, Zhiying Lu, Yan Yan, Kaixin Huang, Xingyue Chen, Yongmei Zhong
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132514X (2024) https://doi.org/10.1117/12.3039985
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
Various disruptions may lead to changes in the carrying capacity of the tractor-and-trailer transportation network. To improve the reliability and resilience of the scheduling scheme of the tractor-and-trailer transport system in response to changes in carrying capacity of network, this paper constructs a mathematical model of multi-resource coordinated scheduling based on the digital expression of carrying capacity. A solution algorithm combined with genetic algorithm, greedy algorithm and multiple strategies is designed for solving the constructed model. The effectiveness of the proposed model and algorithm is verified with numerical examples, and the use of different strategies is analyzed for the examples of different types of disruptions events under single and combined influences.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qi Xu, Zhiying Lu, Yan Yan, Kaixin Huang, Xingyue Chen, and Yongmei Zhong "Multiresource scheduling optimization for tractor and trailer transportation with changing carrying capacity in network", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132514X (28 August 2024); https://doi.org/10.1117/12.3039985
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KEYWORDS
Roads

Transportation

Genetic algorithms

Mathematical modeling

Design

Mathematical optimization

Chemical elements

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