Nowadays the railway industry is beginning to give serious consideration to using intelligent traffic management systems (TMSs) in order to improve railway performance regarding train and passenger delays and robust use of capacity. The TMS is responsible for handling railway traffic once a disturbance happens. A fundamental input parameter of a TMS is the train positions, to be used for traffic re-planning purposes. Inaccuracy in the train positioning data could significantly influence the effectiveness of a TMS. In this study, the authors developed a framework to evaluate how inaccuracies in the train position reporting may affect the TMS performance. This is achieved by assessing the impact of adding inaccuracies to the train position reported to a simulated TMS as it handles operational disturbances in real-time. The performance of the TMS is analysed by considering variability in overall delay outcomes after re-planning based on using accurate/inaccurate positional data. They demonstrate the usefulness of their framework in determining the positional accuracy required for the effective application of a basic rescheduling system via an example on a bottleneck area. Results show how the positioning inaccuracies can affect TMS and thus the overall delay.

中文翻译：

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列车定位不正确对铁路交通管理系统的影响：框架发展及其对TMS功能的影响

如今，铁路行业开始认真考虑使用智能交通管理系统（TMS），以提高铁路在列车和乘客延误以及稳健利用容量方面的性能。一旦发生干扰，TMS负责处理铁路交通。TMS的基本输入参数是火车位置，将用于交通重新规划。火车定位数据中的不正确可能会严重影响TMS的有效性。在这项研究中，作者开发了一个框架来评估火车位置报告中的不准确性如何影响TMS的性能。这是通过评估向模拟TMS报告的火车位置增加不准确度的影响来实现的，因为它会实时处理操作干扰。通过使用准确/不准确的位置数据，在重新计划后考虑总体延迟结果的可变性来分析TMS的性能。他们以瓶颈区域为例，说明了框架在确定有效应用基本调度系统所需的位置精度方面的有用性。结果表明，定位误差如何影响TMS，从而影响总体延迟。