Volume 25 Issue 6
Dec.  2025
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ZHU Chang-feng, AN Chun, TANG Zhao-xin, CHENG Lin-na, WANG Jie, ZHANG Chao, FU Yun-qi. Optimization of intercity public transportation train operation plan based on spatio-temporal network[J]. Journal of Traffic and Transportation Engineering, 2025, 25(6): 157-168. doi: 10.19818/j.cnki.1671-1637.2025.06.014
Citation: ZHU Chang-feng, AN Chun, TANG Zhao-xin, CHENG Lin-na, WANG Jie, ZHANG Chao, FU Yun-qi. Optimization of intercity public transportation train operation plan based on spatio-temporal network[J]. Journal of Traffic and Transportation Engineering, 2025, 25(6): 157-168. doi: 10.19818/j.cnki.1671-1637.2025.06.014
shu

Optimization of intercity public transportation train operation plan based on spatio-temporal network

doi: 10.19818/j.cnki.1671-1637.2025.06.014
  • 1.

    School of Transportation, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China

  • 2.

    School of Rail Transit, Wuyi University, Jiangmen 529000, Guangdong, China

Funds:

National Natural Science Foundation of China 72161024

Gansu Provincial Department of Education's "Double First Class" Research Key Project GSSYLXM-04

More Information
  • Corresponding author: ZHU Chang-feng (1972-), male, professor, PhD, cfzhu003@163.com
  • Received Date: 2024-09-10
  • Accepted Date: 2025-08-25
  • Rev Recd Date: 2025-06-19
  • Publish Date: 2025-12-28
    Abstract
  • A decision value function considering travel time deviation was constructed to address the bounded rationality behavior of intercity passengers and describe the process of intercity train passenger flow allocation under bounded rationality conditions. The train operation time information was discretized. A spatio-temporal network of operation plan was established for the intercity public transport trains, with the optimization objective being set to minimize enterprise operating cost and passenger travel cost. By considering constraints such as spatio-temporal balance between traffic flow and passenger flow, train stopping time, train safety interval, and train operation quantity, a multi-objective optimization model was constructed for the operation plan of intercity public transport trains. In light of the complexity of model solving, an optimization model solving algorithm based on the candidate train set and NSGA-Ⅱ was designed by constructing a train operation backup set. With the public transport line of the Changsha-Zhuzhou intercity train as an example, the effectiveness of the model and algorithm was verified. According to the optimization results, the passenger travel cost and operating cost are directly affected by the stopping mode and the number of trains. The higher proportion of non-stop trains will only reduce travel cost for some passengers, but increase the travel cost for all passengers. Under the condition of running stopping trains at all stations, as the number of trains goes up, the travel cost of passengers goes down, but the operating cost of enterprises rises. With the larger number of trains, the average section full load rate of the intercity public transport train of continues to decrease, and the differential distribution characteristics of the full load rates of different train sections are significant. The constructed optimization model and solving algorithm can provide a theoretical decision-making basis for formulating scientific operation plans.

     

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