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عنوان فارسی مقاله:

پیش بینی جدول زمانی درگیری سرعت بالا راه آهن قطار بر اساس استدلال دانش زمانی فازی


عنوان انگلیسی مقاله:

High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning


سال انتشار : 2016



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مقدمه انگلیسی مقاله:

1. Introduction

Trains are likely to deviate from train operation plans during their operation and produce headway and route conflicts as a result of the influences of factors such as the weather, geological conditions, and driver and train performance. Therefore, dispatchers often need to make some adjustment to conflicts, on the premise of keeping subsequent operation plans unchanged, and without considering disturbances. Obviously, these assumptions do not align well with the real world. Previous studies on the train delay propagation law [1–3], the dynamic properties of train delays [4,5], and the operation adjustment decision making have proposed adjusting the buffer time as the major way to eliminate headway conflicts or having simulated subsequent train operations by introducing stochastic disturbances [6–10]. Considering that the train timetable is operated periodically and that daily delay information including where, when, and how long can be recorded, we can sum up the delay distribution law and obscure the time interval in a train timetable in order to simulate the subsequent train operation status based on these historical time data.



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کلمات کلیدی:

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