Optimization of metro express stopping scheme based on OD pair of passenger flow

LI Yuhua; YANG Kaihe; DING Xiaobing; LIU Zhigang

doi:10.12299/jsues.23-0111

Volume 38 Issue 1

Feb. 2024

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LI Yuhua, YANG Kaihe, DING Xiaobing, LIU Zhigang. Optimization of metro express stopping scheme based on OD pair of passenger flow[J]. Journal of Shanghai University of Engineering Science, 2024, 38(1): 15-22, 69. doi: 10.12299/jsues.23-0111

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LI Yuhua, YANG Kaihe, DING Xiaobing, LIU Zhigang. Optimization of metro express stopping scheme based on OD pair of passenger flow[J]. Journal of Shanghai University of Engineering Science, 2024, 38(1): 15-22, 69. doi: 10.12299/jsues.23-0111

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Optimization of metro express stopping scheme based on OD pair of passenger flow

doi: 10.12299/jsues.23-0111

1.
School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, China
2.
Nanjing Metro Group Co., Ltd., Jingsu Nanjing 210008, China

Received Date: 2023-04-26
Publish Date: 2024-02-01

Abstract

Abstract

In order to further determine the metro express stopping station, an optimization model of express stopping scheme based on origin-destination (OD) pair of passenger flow was established. Firstly, a road cost function was constructed to allocate OD passenger flow according to route cost. Secondly, taking the shortest travel time of passengers and the lowest operating cost of enterprises as the optimization objective, and taking multiple objective factors such as the cross section full rate, the station passenger flow demand, the number of times of the optimization period constraints as the model constraints, an express stop optimization model was builted according to passenger flow allocation. Finally, based on the basic data of metro line 16 in S city, the genetic algorithm with elite strategy and non dominated sorting, as well as GA hybrid (GA-NSGA-II) were used to solve the optimization model of stopping plan. The optimization results show that in peak hours, the per capita travel time of passengers is saved by 1.074 min, and the number of vehicles under each operation day is reduced by 6 columns.
- Transportation,
- origin-destination (OD) pair mine,
- express and local mode,
- stop scheme optimization,
- metro operation optimization

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References(16)

References

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