Research on Urban Rail Transit Operation Optimization Based on Target Planning

Authors

  • Jianglin Lu
  • Yaxin Zhang
  • Yiming Su

DOI:

https://doi.org/10.54097/hjv2rh13

Keywords:

Urban rail transit operation optimization, Target planning, Optimal operation scheme.

Abstract

The optimization of train schedule is one of the classic problems in the traffic organization mode in the field of rail transit. In order to reduce the operation cost of operators and improve the service level of passengers, it is feasible and necessary to optimize the train operation road. This paper considers the factors of minimum number of trains and total mileage of trains, and minimizes the operating cost of enterprises and maximizes the passenger service level in the context of urban rail transit operation with large and small crossing schemes. We used the weighted coefficient method to combine multiple targets into a single optimization problem and perform the model solution using Lingo software. The results provide insights into the best train operation scheme, including the number of large and small crossings, operating distances, and the number of trains required for effective urban rail transit operations.

Downloads

Download data is not yet available.

References

Zhang Zhiwei. Study on the optimization of urban rail reconnecting train operation scheme with large and small crossings [D]. Lanzhou Jiaotong University, 2023.

An Zhilong, Ma Li, Cui Hu, et al. Study on the operation scheme of urban rail transit based on genetic algorithm [J]. Henan Science and Technology, 2022, 41 (18): 6-10.

Li Zhengyang, Zhao Jun, Peng Qiyuan. Consider the optimization of the train crossing plan for urban rail lines with multiple crossings and multiple groups [J]. Journal of Railway Science, 2020, 42 (06): 1-11. Master dissertation of Beijing Jiaotong University.

Blanco V, Conde E, Hinojosa Y, et al. An optimization model for line planning and timetabling in automated urban metro subway networks.A case study [J]. Omega, 2020, 92: 102165.

Yao Yu, Zhu Xiaoning, Kang Liujiang, Liao Zhengwen. Integrated optimization model of urban rail transit train schedule and vehicle application [J]. Transportation System Engineering and Information, 2018, 18 (01): 200-206.

Lu Lihong. Study on train operation adjustment of urban rail transit considering dynamic passenger flow [D]. Beijing Jiaotong University, 2020.

Zhang Hui, Jiang Jiakun, Xian Chuyi, et al. Research on comprehensive optimization of intersection planning and schedule of Urban rail transit under mixed transit mode [J]. Railway transportation and economy, 2023, 45 (12): 171-180.

Ma Jingbao, Wang Qiang. —— Take Beijing Metro Daxing Airport Line as an example [J]. Transportation Manager World, 2023, (20): 1-3.

Li Jie. Study on the collaborative optimization of the train operation scheme and schedule of urban rail transit based on multiple groups [D]. Beijing Jiaotong University, 2023.

Zhu Ling. Collaborative optimization strategy of train crossing plan and schedule preparation for urban rail transit in an uncertain environment [D]. Beijing Jiaotong University, 2022.

Downloads

Published

30-06-2024

How to Cite

Lu, J., Zhang, Y., & Su, Y. (2024). Research on Urban Rail Transit Operation Optimization Based on Target Planning. Highlights in Science, Engineering and Technology, 105, 206-213. https://doi.org/10.54097/hjv2rh13