基于时变需求的城市轨道交通列车调度优化设计

2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI:10.1109/ICITE50838.2020.9231505

Bin Zhang, Y. Yue

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引用次数: 0

摘要

为了提高城市轨道交通的市场竞争力，使列车时刻表更好地为旅客服务，研究了时变旅客需求下的列车时刻表优化问题。采用三次样条插值方法对客流需求函数进行拟合，并将拟合结果应用于以旅客候车时间、列车总运行时间和车次加权和最小为目标的列车时刻表优化模型。采用模拟退火算法求解。以西安地铁2号线为例进行分析，结果表明了该模型和算法的可行性。

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Optimal Design of Train Schedule of Urban Rail Transit Based on Time-varying Demand

In order to improve the market competitiveness of urban rail transit and make train timetables better serve passengers, the problem of train timetable optimization under time-varying passenger demand is studied. The cubic spline interpolation method is used to fit the passenger flow demand function, and then the obtained results are applied to the train timetable optimization model that minimizes the weighted sum of passenger waiting time, total train running time, and number of trains. Use simulated annealing algorithm to solve. Taking Xi'an Metro Line 2 as an example for analysis, the results show the feasibility of the model and algorithm.

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2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)

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