改进铁路网的微观模拟

S. D. Fabris, G. Medeossi, G. Montanaro
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引用次数: 7

摘要

铁路是一个复杂的系统。基础设施、机车车辆和时间表与人为因素和日常干扰相互作用。微观模拟是对这些复杂的相互作用进行建模和定量表示的最准确的技术,并在规划的各个阶段支持铁路事业。最广泛使用的仿真工具是几年前开发的,从那时起一直保持着它们最初的原理。但是,在大数据时代,大量极其精确的列车跟踪数据的可用性和计算能力的提高使得在不超过合理计算时间的情况下,可以在更高的细节水平上对现实进行建模。开发新的trenissimo工具的具体目的是获得更真实的铁路运营模拟,结合现有工具尚未实现或仅部分实现的新特性和功能。最重要的创新之一是将司机和调度员都表示为代理人,他们分别按照时间表和信号/ATP系统驾驶火车,并根据给定的标准或算法控制火车。第二个特点是信号控制:在现实中,阻塞信号自动切换为绿色,而其他信号则由调度员操作。第三是实时考虑在站台等候的乘客数量对列车停留时间的影响的可能性,从而正确地表示它们的影响,特别是对高频服务。本文详细介绍了这些创新功能,并展示了在两条线路上进行的首次测试的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TRENISSIMO: IMPROVING THE MICROSCOPIC SIMULATION OF RAILWAY NETWORKS
Railway is a complex system. Infrastructure, rolling stock and timetable interact together with human factors and daily disturbances. Microscopic simulation is the most accurate technique to model and quantitatively represent these complex interactions and support railway undertakings at all stages of planning. The most widely-used simulation tools were developed several years ago and have since then maintained their original principles. But, in the era of Big Data the availability of large amounts of extremely accurate train tracking data and the increased computational power allows modelling reality at a higher level of detail without exceeding the reasonable computation times. The new trenissimo tool was developed with the specific aim of obtaining a more realistic simulation of railway operations, combining new characteristics and functionalities not yet or only in part implemented in the existing tools. One of the most important innovations is the representation of both drivers and dispatchers as agents, who respectively drive the trains following the timetable and signalling/ATP system and control them based on given criteria or algorithms. A second characteristic is the control of signals: as in the reality, the block signals are automatically switched to green, while the others are operated by the dispatchers. A third is the possibility to consider in real time the impact of the number of passengers waiting at the platform on the dwell time of trains, and thus correctly represent their effect, especially on high-frequency services. The paper describes in detail these innovative functions and shows the results of the first tests performed on two lines.
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