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

Yangsheng Jiang , Shuiwang Chen , Wenyao an , Lu Hu , Yan Li , Jun Liu
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引用次数: 4

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.

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航空和城际高速铁路同步服务的需求驱动列车时间表
摘要近年来,航空与城际高速铁路(A-IHSR)的同步服务得到了蓬勃发展。列车时刻表对于改善A-IHSR同步至关重要。本文提出了一种基于a-IHSR动态乘客需求的城际高速铁路时刻表优化方法。为了使乘客等待时间最小化,建立了一个整数非线性规划(INLP)模型,其中还考虑了严格的列车容量、过饱和情况和跳停。我们还通过考虑飞行列车和列车循环计划的同步事件来扩展列车时间表模型。然后,将该模型重新表述为松弛非线性规划(NLP)模型。提出了一种多模态游牧算法(MNA)来求解该问题,列车运行计划由Gurobi求解器求解。基于津南-滨州高铁运行数据进行了数值实验,以证明我们提出的模型和算法的有效性和性能。
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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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