Abstract
With the steady increase in passenger volume of high-speed railways in China, some high-speed railway sections have faced a difficult situation. To provide more transport services, it is necessary to add as many trains as possible in a section to increase capacity. To solve this problem, a compressed multilayer space-time network model is constructed with the maximum number of trains that can be scheduled in the train timetable as the objective. The combination of the train stop plan and speed level is represented by the layer of network where the train is located, and constraints such as train selection, train safety, train overtake and cross-line trains are considered. A method based on timing-cycle iterative optimization is designed to decompose the original problem into multiple subproblems, and the solving order of the subproblems is determined by a heuristic greedy rule. Taking the Beijing-Jinan section of the Beijing-Shanghai high-speed railway as an example, the maximum number of trains was increased by 12.5% compared with the timetable before optimization. The saturated timetables provide detailed schedules, which helps decision-makers better adjust the timetable to run more trains.
Highlights
With the rapid development of high-speed railways worldwide, this good travel experience has attracted an increasing passenger flow, causing the capacity of some busy high-speed railways to approach saturation
Joint optimization of high-speed train timetables, speed levels and stop plans for increasing capacity kind of model is composed of multiple two-dimensional space-time networks, which is called an multilayer space-time (MLST) network in this paper
This paper studies a railway capacity increasing problem that integrates train timetabling with the train speed level and stop plan
Summary
With the rapid development of high-speed railways worldwide, this good travel experience has attracted an increasing passenger flow, causing the capacity of some busy high-speed railways to approach saturation. Determined in the second step (train service plan development) This will result in an inability to adjust the train’s speed level and stop plan in the timetabling process, which determines the number of trains. The purpose of this paper is to find a way to optimize the train timetable, speed level and stop plan at the same time. A space-time network is a kind of modeling method that is often used to solve railway timetabling problems. To achieve the purpose of the joint optimization of the timetable, speed level and stop plan, one important challenge is to express speed and stop information in the network To solve this problem, the multilayer space-time (MLST) network is proposed in this paper.
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