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首页> 外文期刊>Journal of Modern Transportation >A simulation-based optimization approach for passenger train timetabling with periodic track maintenance and stops for praying
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A simulation-based optimization approach for passenger train timetabling with periodic track maintenance and stops for praying

机译：一种基于仿真的旅客列车时间表优化方法，具有定期轨道维护和祈祷站

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This paper presents two optimization methods for solving the passenger train timetabling problem to minimize the total delay time in the single track railway networks. The goal of the train timetable problem is to determine departure and arrival times to or from each station in order to prevent collisions between trains and effective utilization of resources. The two proposed methods are based on integration of a simulation and an optimization method to simulate train traffic flow and generate near optimal train timetable under realistic constraints including stops for track maintenance and praying. The first proposed method integrates a cellular automata (CA) simulation model with genetic algorithm optimization method. In the second proposed approach, a CA simulation model combines with dynamically dimensioned search optimization method. The proposed models are applied to hypothetical case study to demonstrate the merit of them. The Islamic Republic of Iran Railways (IRIR) data and regulations have been used to optimize train timetable. The results show the first method is more efficient than the second method to obtain near optimal train timetabling.
机译：本文提出了两种优化方法来解决旅客列车时间表问题，以最大程度地减少单轨铁路网中的总延误时间。火车时刻表问题的目的是确定往返于每个车站的出发和到达时间，以防止火车之间发生冲突并有效利用资源。所提出的两种方法是基于模拟和优化方法的集成，以模拟火车交通流量并在包括行车道维护和祈祷的停车位在内的实际约束下生成接近最佳的火车时刻表。首先提出的方法将细胞自动机（CA）仿真模型与遗传算法优化方法集成在一起。在第二种提出的方​​法中，CA仿真模型与动态尺寸搜索优化方法相结合。所提出的模型被用于假设的案例研究以证明它们的优点。伊朗伊斯兰共和国铁路（IRIR）数据和法规已用于优化火车时刻表。结果表明，第一种方法比第二种方法更有效地获得接近最佳的火车时间表。

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