TY  - JOUR
PY  - 2023//
TI  - Traffic dynamics during the 2019 Kincade wildfire evacuation
JO  - Transportation research part D: transport and environment
A1  - Rohaert, Arthur
A1  - Kuligowski, Erica D.
A1  - Ardinge, Adam
A1  - Wahlqvist, Jonathan
A1  - Gwynne, Steven M. V.
A1  - Kimball, Amanda
A1  - Benichou, Noureddine
A1  - Ronchi, Enrico
SP  - e103610
EP  - e103610
VL  - 116
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1361-9209
UR  - http://dx.doi.org/10.1016/j.trd.2023.103610
ID  - ref1
ER  -