Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies
Traffic evacuation plays a critical role in saving lives in devastating disasters such as hurricanes, wildfires, floods, etc. An ability to evaluate evacuation plans in advance for these rare events, including identifying traffic flow bottlenecks, improving traffic management policies, and understan...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-09-01
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| Series: | Transportation Research Interdisciplinary Perspectives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198220301214 |
| _version_ | 1811331303068401664 |
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| author | Yu Chen S. Yusef Shafi Yi-fan Chen |
| author_facet | Yu Chen S. Yusef Shafi Yi-fan Chen |
| author_sort | Yu Chen |
| collection | DOAJ |
| description | Traffic evacuation plays a critical role in saving lives in devastating disasters such as hurricanes, wildfires, floods, etc. An ability to evaluate evacuation plans in advance for these rare events, including identifying traffic flow bottlenecks, improving traffic management policies, and understanding the robustness of the traffic management policy are critical for emergency management. Given the rareness of such events and the corresponding lack of real data, traffic simulation provides a flexible and versatile approach for such scenarios, and furthermore allows dynamic interaction with the simulated evacuation. In this paper, we build a traffic simulation pipeline to explore the above problems, covering many aspects of evacuation, including map creation, demand generation, vehicle behavior, bottleneck identification, traffic management policy improvement, and results analysis. We apply the pipeline to two cases studies in California. The first is Paradise, which was destroyed by a large wildfire in 2018 and experienced catastrophic traffic jams during the evacuation. The second is Mill Valley, which has high risk of wildfire and potential traffic issues since the city is situated in a narrow valley. |
| first_indexed | 2024-04-13T16:18:34Z |
| format | Article |
| id | doaj.art-dd389896b2be492f8822d1c7e2726c3c |
| institution | Directory Open Access Journal |
| issn | 2590-1982 |
| language | English |
| last_indexed | 2024-04-13T16:18:34Z |
| publishDate | 2020-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj.art-dd389896b2be492f8822d1c7e2726c3c2022-12-22T02:40:00ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822020-09-017100210Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studiesYu Chen0S. Yusef Shafi1Yi-fan Chen2Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, United States of America; Corresponding author.Google Research, 1600 Amphitheatre Pkwy, Mountain View, CA 94043, United States of AmericaGoogle Research, 1600 Amphitheatre Pkwy, Mountain View, CA 94043, United States of AmericaTraffic evacuation plays a critical role in saving lives in devastating disasters such as hurricanes, wildfires, floods, etc. An ability to evaluate evacuation plans in advance for these rare events, including identifying traffic flow bottlenecks, improving traffic management policies, and understanding the robustness of the traffic management policy are critical for emergency management. Given the rareness of such events and the corresponding lack of real data, traffic simulation provides a flexible and versatile approach for such scenarios, and furthermore allows dynamic interaction with the simulated evacuation. In this paper, we build a traffic simulation pipeline to explore the above problems, covering many aspects of evacuation, including map creation, demand generation, vehicle behavior, bottleneck identification, traffic management policy improvement, and results analysis. We apply the pipeline to two cases studies in California. The first is Paradise, which was destroyed by a large wildfire in 2018 and experienced catastrophic traffic jams during the evacuation. The second is Mill Valley, which has high risk of wildfire and potential traffic issues since the city is situated in a narrow valley.http://www.sciencedirect.com/science/article/pii/S2590198220301214Traffic simulationEvacuationSUMOTraffic management policy |
| spellingShingle | Yu Chen S. Yusef Shafi Yi-fan Chen Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies Transportation Research Interdisciplinary Perspectives Traffic simulation Evacuation SUMO Traffic management policy |
| title | Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies |
| title_full | Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies |
| title_fullStr | Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies |
| title_full_unstemmed | Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies |
| title_short | Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies |
| title_sort | simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies |
| topic | Traffic simulation Evacuation SUMO Traffic management policy |
| url | http://www.sciencedirect.com/science/article/pii/S2590198220301214 |
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