Optimal design of Rapid evacuation strategies in constrained urban transport networks
| العنوان: | Optimal design of Rapid evacuation strategies in constrained urban transport networks |
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| المؤلفون: | Ke Han, Panagiotis Angeloudis, Jose Javier Escribano-Macias |
| المصدر: | Transportmetrica A: Transport Science. 16:1079-1110 |
| بيانات النشر: | Informa UK Limited, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 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 |
| الوصف: | 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. |
| تدمد: | 2324-9943 2324-9935 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70351aa1a5988ab7b9c3c6b9db16f22 https://doi.org/10.1080/23249935.2020.1725179 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....d70351aa1a5988ab7b9c3c6b9db16f22 |
| قاعدة البيانات: | OpenAIRE |
PDF full text from Publisher | تدمد: | 23249943 23249935 |
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