Collaborative Optimization Model for Train Timetable and Stopping Plan in Intercity Railway

Abstract

Abstract In the organization of intercity passenger transport, train timetable is the basic document for train operation. A reasonable train timetable can improve the balance of train service at the station, thereby improving the service quality of railway passenger transport. In this paper, we define a quantitative calculation method for the balance of station service in the intercity railway. A collaborative optimization model of train timetable and stopping plan is develop, which aim to minimize dwelling time of trains and the imbalanced coefficient of train service at stations. So all trains could stop at their stations more evenly, and maximum waiting time for passengers is reduced. In order to solve this mixed integer nonlinear problem, an improved genetic algorithm is designed. Finally, taking Jiangmen-Zhanjiang Railway as an example, the proposed collaborative optimization model of train timetable and stopping plan is applied to a real scene. The case compares and analyzes the train service balance and the stopping time of each train at each station along the Jiangmen-Zhanjiang Railway in the original plan and the optimized plan. The results show that the optimized train departure plan can increase the station service balance by 24.6% (downlink direction) and 26.7% (uplink direction), and reduce the total dwelling time of all intercity trains by 24 minutes (downlink direction), 21 minutes (uplink direction) at the same time.