Traffic dynamics during the 2019 Kincade wildfire evacuation

Arthur Rohaert; Erica D. Kuligowski; Adam ArdingeJonathan WahlqvistSteven M.V. GwynneAmanda KimballNoureddine BenichouEnrico Ronchi

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Traffic dynamics during the 2019 Kincade wildfire evacuation

机译：Traffic dynamics during the 2019 Kincade wildfire evacuation

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Traffic models are a useful tool for evacuation planning and management in case of wildfires. Despite the availability of several evacuation models, the number of datasets that can be used for their calibration and validation is limited. This paper presents key traffic flow data collected during the 2019 Kincade Fire. The data (69 116 data points from 24 locations) have been sourced from the Performance Measurement System of the California Department of Transportation. A set of commonly used models that describe the relationships between speed, flow and density has been fit to the data and compared to the model from the Highway Capacity Manual. In evacuation scenarios, the vehicle speed is about 3.5 km/h lower in comparison with the speed in routine scenarios, both for low and high traffic density. This demonstrates that dedicated models are needed for an accurate estimation of traffic evacuation times.

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《Transportation research, Part D. Transport and environment》 |2023年第3期|103610.1-103610.16|共16页
作者
Arthur Rohaert; Erica D. Kuligowski; Adam ArdingeJonathan WahlqvistSteven M.V. GwynneAmanda KimballNoureddine BenichouEnrico Ronchi;
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作者单位

Division of Fire Safety Engineering, Lund University, Lund, Sweden;

RMIT University, Melbourne, Australia;

Division of Fire Safety Engineering, Lund University, Lund, Sweden,Movement Strategies, London, United KingdomFire Protection Research Foundation, Quincy, USANational Research Council Canada, Ottawa, Canada;

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正文语种英语
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Wildland-urban interface; Wildfire; Evacuation; Traffic modeling; Evacuation traffic; Kincade Fire;

Traffic dynamics during the 2019 Kincade wildfire evacuation

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