The increasing availability of global positioning systems and smartphones has enabled the crowdsourcing of actual travel behavior. Using this data to measure the impacts of flooding on traffic functionality, however, remains a challenge, as different traffic variables can be used to quantify functionality, and it is not straightforward to determine the duration of the traffic disruption. This research analyzed five flood events to determine the traffic variables that better capture the impacts of flooding on traffic functionality. The study also proposes a methodology to determine the moment at which the impacts of flooding on traffic end. The results suggest that number of trips, vehicle miles traveled (VMT), and vehicle hours traveled (VHT) are the traffic variables that better reflect the impacts of flooding on traffic functionality and that changes in the standard deviation of these variables can be used to determine the duration of the traffic disruption.
Impacts of Flooding on Traffic Functionality from Crowdsourced Location Data
ASCE International Conference on Computing in Civil Engineering 2023 ; 2023 ; Corvallis, Oregon
Computing in Civil Engineering 2023 ; 118-126
2024-01-25
Conference paper
Electronic Resource
English
NTIS | 2017
|Recognition of Intersection Traffic Regulations from Crowdsourced Data
DataCite | 2023
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