改进的智能水滴算法在紧急情况下实时调整列车路线

Kaifeng Wang, Qi Zhang, H. Li, Wengang Fu, Ningning Chen, Ying Gao
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引用次数: 1

摘要

地震等自然灾害可能导致铁路承载能力下降甚至中断。在铁路网形成的条件下,为列车寻找迂回路线是可能的。考虑铁路线路的距离和允许速度、列车停靠偏好和承载能力,建立了连续时间动态图。提出了一种改进的智能水滴算法,用于实时搜索最优绕行路线。一系列的实验结果表明,该算法能有效地解决紧急情况下的列车路线调整问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified Intelligent Water Drops Algorithm for Real-time Train Routing Adjustment in Emergency
Natural disasters such as earthquakes may lead to a decrease in railway carrying capacity or even line interruption. Under the conditions of railway network formation, it is possible to find circuitous routes for trains. A continuous time dynamic graph is established, taking into account the distance and allowable speed of the railway line, the train stop preference, and the carrying ability. A modified intelligent water drops algorithm is proposed to search the optimal circuitous route in real time. A series of experimental results show that the proposed algorithm can effectively solve train routing adjustment problem under emergency conditions.
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