Imperial College London
Alternate

Panagiotis Angeloudis

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Transport Systems and Logistics
 
 
 
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Contact

 

+44 (0)20 7594 5986p.angeloudis Website

 
 
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Location

 

337Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Escribano-Macias:2020:10.1080/23249935.2020.1725179,
author = {Escribano-Macias, JJ and Angeloudis, P and Han, K},
doi = {10.1080/23249935.2020.1725179},
journal = {Transportmetrica A: Transport Science},
pages = {1079--1110},
title = {Optimal design of Rapid evacuation strategies in constrained urban transport networks},
url = {http://dx.doi.org/10.1080/23249935.2020.1725179},
volume = {16},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Large-scale evacuations constitute common life-saving exercises that are activated in many disaster response campaigns. Their effectiveness is often inhibited by traffic congestion, disrupted and imperfect coordination mechanisms, and the poor state of the underlying transportation networks. To address this problem, this paper presents a hybrid simulation-optimisation methodology to optimise evacuation response strategies through demand staging and signal phasing. We introduce a pre-planning model that evaluates evacuation policies, using a low-level dynamic traffic assignment model that captures the effects of congestion, queuing and vehicle spillback. Optimal strategies are determined using derivative-free optimisation algorithms, applied to an evacuation problem based on a benchmark dataset. The effects of varying the number of activated paths and the frequency of departure under different network conditions are observed. Our analysis indicates that combined departure time scheduling and signal phasing is a promising method to improve evacuation efficiency when compared to a worst-case benchmark scenario.
AU  - Escribano-Macias,JJ
AU  - Angeloudis,P
AU  - Han,K
DO  - 10.1080/23249935.2020.1725179
EP  - 1110
PY  - 2020///
SN  - 2324-9935
SP  - 1079
TI  - Optimal design of Rapid evacuation strategies in constrained urban transport networks
T2  - Transportmetrica A: Transport Science
UR  - http://dx.doi.org/10.1080/23249935.2020.1725179
UR  - http://hdl.handle.net/10044/1/78552
VL  - 16
ER  -
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