Capacity optimization of suburban railway based on improved UIC406 method

Zhaoyuan Zhang; Zhongtian Liu

doi:10.1117/12.2668529

16 February 2023 Capacity optimization of suburban railway based on improved UIC406 method

Zhaoyuan Zhang, Zhongtian Liu

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 1259116 (2023) https://doi.org/10.1117/12.2668529
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

Because of the advantages of high capacity and fast speed, suburban railway is regarded as an ideal way to achieve fast commuting between downtown area and its surrounding satellite cities. In the actual operation of suburban railway, trains generally use a mixture mode of "fast & slow train" to meet different travel needs, but this mode will inevitably lead to the occurrence of overtaking phenomenon between trains. Even in a same trains operating plan, there are still multiple different overtaking plans. And different overtaking plans will have different effects on line passing capacity. In order to find the overtaking plan that can maximize line passing capacity, this paper proposes a method for optimizing the passing capacity of suburban railway based on UIC406 method. And a real suburban railway line is used for simulation and verification. The optimization results show that on the simulated railway line and with the train operating plan we used in simulation, allowing trains to overtake can save 23.4% of the time consumed by the trains passing through the line compared to not allowing trains to overtake. And the bottleneck that affects the further reduction of the time consumption is mainly in the "first departure section" of each station.

Citation Download Citation

Zhaoyuan Zhang and Zhongtian Liu "Capacity optimization of suburban railway based on improved UIC406 method", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 1259116 (16 February 2023); https://doi.org/10.1117/12.2668529

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KEYWORDS

Education and training

Mathematical optimization

Genetic algorithms

Matrices

Control systems

Design and modelling

Electronics engineering

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