Highlights Traffic data are retrieved from vehicle detection systems for the 2019 Kincade fire. Relationships for speed, density and flow are benchmarked with routine traffic. Evacuation speeds are lower than routine speeds in the low and high-density range. Traffic models need to use updated relationships for wildfire scenarios.

    Abstract 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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    Title :

    Traffic dynamics during the 2019 Kincade wildfire evacuation




    Publication date :

    2023-01-08




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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