Document Type

Article

Publication Date

2021

DOI

10.1155/2021/5599073

Publication Title

Journal of Advanced Transportation

Volume

2021

Pages

5599073 (1-12)

Abstract

Effective and timely evacuation is critical in alleviating the impact of hurricanes. As such, evacuation models are often sought to support the preparedness of evacuations. One important task in the modeling process is to evaluate exogenous factors that cause transportation system capacity loss during evacuation. Typical factors include direct damage to the roadway network due to storm surge and cascading impacts because of other facilities failures. For example, power outage can lead to signal failure and subway suspension. This paper aims to develop a macroscopic simulation-based approach to study the capacity loss of the roadway network in evacuation due to signal loss as a consequence of power outage. In particular, to simulate the case in which traffic signals lose power, a capacity-reduction model from signalized intersections to unsignalized (all-way stop control) intersections was developed and calibrated using microscopic model created in SUMO and Synchro. We used the downtown Manhattan as a case study area and created a hypothetical power-grid network in terms of neighborhoods. Six scenarios were built to simulate power loss of different neighborhoods. The simulation results give insights on how cascading failures of power network affect roadway network and evacuation process.

Comments

Copyright © 2021 Yuan Zhu et al.

This is an open access article distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Original Publication Citation

Zhu, Y., Ozbay, K., Yang, H., Zuo, F., & Sha, D. (2021). Modeling and simulation of cascading failures in transportation systems during hurricane evacuations. Journal of Advanced Transportation, 2021, 1-12, Article 5599073. https://doi.org/10.1155/2021/5599073

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