To address the imbalance in the duration of crew pairings from different crew bases in current research, we propose a crew scheduling optimization model for high-speed railways. The objective is to minimize the connection time between crew trips for multiple crew bases, while also ensuring duration balance of crew pairings, based on the multiple Travelling Salesman Problem (mTSP) modelling. Then, this study designs a heuristic Ant Colony Optimization (ACO) algorithm to solve the model. The numerical experiments demonstrate the effectiveness of the proposed model in reducing the connection time between crew trips and maintaining balance in the duration of crew pairings.


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    Title :

    Study on crew scheduling considering duration balance for high-speed railway: an approach based on ant colony optimization


    Contributors:
    Easa, Said (editor) / Wei, Wei (editor) / Guo, Fengqian (author) / Chen, Junhua (author)

    Conference:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Published in:

    Proc. SPIE ; 12790


    Publication date :

    2023-09-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English