Optimal design of Rapid evacuation strategies in constrained urban transport networks
| Autor: | Ke Han, Panagiotis Angeloudis, Jose Javier Escribano-Macias |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
021103 operations research Injury control Computer science 05 social sciences 0211 other engineering and technologies General Engineering Human factors and ergonomics Poison control Transportation 02 engineering and technology Disaster response Suicide prevention 0905 Civil Engineering Occupational safety and health 1507 Transportation and Freight Services Traffic congestion Risk analysis (engineering) 0502 economics and business Injury prevention |
| Zdroj: | Transportmetrica A: Transport Science. 16:1079-1110 |
| ISSN: | 2324-9943 2324-9935 |
| DOI: | 10.1080/23249935.2020.1725179 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|