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20 February 2024 Research on passenger path planning of urban rail transit in interval interruption scenario
Ben Zhao, Ying Yang, Jiapeng Zhang, Jiening Cao, Zhiqiang Du, Hantian Guo
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Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130641W (2024) https://doi.org/10.1117/12.3015870
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
Under the operating conditions of urban rail transit network, the scale of the network is constantly expanding, and sudden events such as large passenger flow impact and equipment failure are easy to affect the stable operation of the rail transit network, resulting in disruption events. The operation disruption event will not only cause the train delay on the current line, but also affect other lines, forcing a large number of passengers to delay their journey, choose detour or even give up travel. Taking passengers affected by disruption events as the research object, this paper adopts cumulative prospect theory to describe passengers' path selection behavior under operation disruption events, establishes a scenario prospect probability model by using value function and cumulative decision weight function, and proposes a passenger path selection model under interval disruption scenarios to ensure passengers' travel to the maximum extent and reduce the impact of interval disruption events. It has a certain reference value for the emergency management of urban rail transit under section interruption events.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ben Zhao, Ying Yang, Jiapeng Zhang, Jiening Cao, Zhiqiang Du, and Hantian Guo "Research on passenger path planning of urban rail transit in interval interruption scenario", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130641W (20 February 2024); https://doi.org/10.1117/12.3015870
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KEYWORDS
Education and training
Probability theory
Monte Carlo methods
Data modeling
Transportation
Decision making
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