Passenger Demand-Oriented High-Speed Train Stop Planning with Service-Node Features Analysis

Fanxiao Liu, Qiyuan Peng, Gongyuan Lu, Guangyuan Zhang, Luigi Dell'Olio
2020 Journal of Advanced Transportation  
As a critical foundation for train traffic management, a train stop plan is associated with several other plans in high-speed railway train operation strategies. The current approach to train stop planning in China is based primarily on passenger demand volume information and the preset high-speed railway station level. With the goal of efficiently optimising the stop plan, this study proposes a novel method that uses machine learning techniques without a predetermined hypothesis and a complex
more » ... esis and a complex solution algorithm. Clustering techniques are applied to assess the features of the service nodes (e.g., the station level). A modified Markov decision process (MDP) is conducted to express the entire stop plan optimisation process considering several constraints (service frequency at stations and number of train stops). A restrained MDP-based stop plan model is formulated, and a numerical experiment is conducted to demonstrate the performance of the proposed approach with real-world train operation data collected from the Beijing-Shanghai high-speed railway.
doi:10.1155/2020/8974315 fatcat:bwcrwjli4bee5hvcieura7qcum