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arXiv · 2008.12207

Two-stage optimization of urban rail transit formation and real-time station control at comprehensive transportation hub

Hualing Ren·Yingjie Song·Shubin Li
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Abstract

This paper tries to discuss two strategies of dealing with this complex passenger demand from two aspects: transit train formation and real-time holding control. The genetic algorithm (GA) is designed to solve the integrated two-stage model of optimizing the number, timetable and real-time holding control of the multi-marshalling operated trains. The numerical results show that the combined two-stage model of multi-marshalling operation and holding control at stations can better deal with the demand fluctuation of urban rail transit connecting with the comprehensive transportation hub.

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Hualing Ren, Yingjie Song, Shubin Li. 2020-08-26. Two-stage optimization of urban rail transit formation and real-time station control at comprehensive transportation hub. https://arxiv.org/abs/2008.12207

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