Demand-driven train timetabling for air and intercity high-speed rail synchronization service

ABSTRACT

Synchronizing air and intercity high-speed railway (A-IHSR) services has recently been developing vigorously. Train timetables are critical for improving A-IHSR synchronization. This paper proposes a method to optimize intercity high-speed railway (IHSR) timetables based on the dynamic passenger demand of the A-IHSR. An integer non-linear programming (INLP) model is formulated to minimize the passenger waiting time, in which rigorous train capacity, oversaturation situation, and skip-stop are also taken into consideration. We also extend the train timetabling model by considering the synchronization events of flight-train and the train circulation plan. Then, this model is reformulated as a relaxed non-linear programming (NLP) model. . A multimodal nomad algorithm (MNA) is proposed to solve it. The train circulation plan solves by the Gurobi solver. A numerical experiment based on data of the operation of the Jinnan–Binzhou HSR is implemented to demonstrate the efficiency and performance of our proposed model and algorithm.

KEYWORDS:

• Train timetable
• air and intercity high-speed rail
• synchronization service
• multimodal nomad algorithm

Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant [No. 71901183]; the Applied Basic Research Programs of the Science and Technology Department of Sichuan Province under Grant [No.2021YJ0066]. The authors are grateful for this support.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [71901183]; Applied Basic Research Programs of the Science and Technology Department of Sichuan Province [2021YJ0066].