Quantifying out-of-station waiting time in oversaturated urban metro systems

نویسندگان

چکیده

Metro systems in megacities such as Beijing, Shenzhen and Guangzhou are under great passenger demand pressure. During peak hours, it is common to see oversaturated conditions (i.e., exceeds network capacity), which bring significant operational risks safety issues. A popular control intervention restrict the entering rate during hours by setting up out-of-station queueing with crowd barriers. The \textit{out-of-station waiting} can make a substantial proportion of total travel time but not well-studied literature. Accurate quantification waiting important evaluating social benefit cost service scheduling/optimization plans; however, difficult estimate because part smart card transactions. In this study, we propose an innovative method leveraging information from small group transfer passengers -- those who nearby bus routes metro station. Based on estimated for group, first infer all developing Gaussian Process regression Student-$t$ likelihood then use build diagrams. We apply our Tiantongyuan North station Beijing case study; results show that maximum reach 15 minutes, queue length be over 3000 passengers. Our suggest cause costs thus should considered analyzing transit performance, mode choice, benefits. To best knowledge, paper quantitative study time.

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ژورنال

عنوان ژورنال: Communications in transportation research

سال: 2022

ISSN: ['2772-4247']

DOI: https://doi.org/10.1016/j.commtr.2022.100052