High-speed Train Rescheduling Based on a New Kind of Particle Optimization Algorithm

Train rescheduling problem has been a hot topic in the field of railway transportation organization work. Train rescheduling plan is the key of train operation organization that determines the transportation efficiency. To improve the efficiency of generating the train rescheduling plan, we construc...

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Bibliographic Details
Published in:Engineering letters 2023-05, Vol.31 (2), p.640
Main Authors: Qin, Ning, Meng, Xuelei
Format: Article
Language:English
Subjects:
Algorithms
Computation
Delay time
High speed rail
Particle swarm optimization
Rail transportation
Rescheduling
Run time (computers)
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Summary:Train rescheduling problem has been a hot topic in the field of railway transportation organization work. Train rescheduling plan is the key of train operation organization that determines the transportation efficiency. To improve the efficiency of generating the train rescheduling plan, we constructed a train rescheduling model, taking the total delay time as the optimization goal and interval between trains, minimum running time in sections, minimum dwelling time as the constraints. A new kind of particle swarm optimization algorithm-hybrid fuzzy particle swarm optimization algorithm is proposed to find the solution of the model. The computing case shows the computing efficiency of the novel algorithm and the effectiveness of the model. The overall consumption time of hybrid fuzzy particle swarm optimization algorithm is reduced by 9.91%, compared with typical partical optimization algorithm. The approach presented in this paper can offer decision information for the dispatchers of railways.
ISSN:1816-093X
1816-0948