A Traffic Evacuation Model for Enhancing Resilience During Railway Disruption

This paper introduces a traffic evacuation model for railway disruptions to improve resilience. The research focuses on the problem of failure of several nodes or lines on the railway network topology. We proposed a holistic approach that integrates lines of various operator companies as well as external geographical features of the railway system. The optimized evacuation model was mathematically derived based on matrix computation using nonlinear programming. The model also takes into account the capacity of the surrounding evacuation stations, as well as the travel cost. Moreover, our model can flexibly simulate disruptions at multiple stations or any number of stations and lines, enhancing its applicability. We collected the large-scale railway network of the Greater Tokyo area for experimentation and evaluation. We simulated evacuation plans for several major stations, including Tokyo, Shinjuku, and Shibuya. The results indicate that the evacuation passenger flow (EPF) and the average travel time (ATT) during emergencies were optimized, staying within both the capacity limits of the targeted neighboring stations and the disruption recovery time.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/edcc-c66476.2025.00037
Citations
3
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
2.86

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article

A Traffic Evacuation Model for Enhancing Resilience During Railway Disruption

Noboru Koshizuka, Hangli Ge, Jinyu Chen, Xiaojie Yang et al.
3 citations
Infrastructure Resilience and Vulnerability Analysis
2.86
article

A Traffic Evacuation Model for Enhancing Resilience During Railway Disruption

Noboru Koshizuka, Hangli Ge, Jinyu Chen, Xiaojie Yang, Francesco Flammini
article en
3 citations

Abstract

This paper introduces a traffic evacuation model for railway disruptions to improve resilience. The research focuses on the problem of failure of several nodes or lines on the railway network topology. We proposed a holistic approach that integrates lines of various operator companies as well as external geographical features of the railway system. The optimized evacuation model was mathematically derived based on matrix computation using nonlinear programming. The model also takes into account the capacity of the surrounding evacuation stations, as well as the travel cost. Moreover, our model can flexibly simulate disruptions at multiple stations or any number of stations and lines, enhancing its applicability. We collected the large-scale railway network of the Greater Tokyo area for experimentation and evaluation. We simulated evacuation plans for several major stations, including Tokyo, Shinjuku, and Shibuya. The results indicate that the evacuation passenger flow (EPF) and the average travel time (ATT) during emergencies were optimized, staying within both the capacity limits of the targeted neighboring stations and the disruption recovery time.

Tokyo University of Information Sciences (JP), University of Florence (IT), The University of Tokyo (JP)
European Commission
Openalex Percentile: Top 9%
Infrastructure Resilience and Vulnerability Analysis
2.86
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