Impacts of Flooding on Traffic Functionality from Crowdsourced Location Data
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784485248
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Supplemental Notes:
- © 2024 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Contreras, Francisco
- Torres-Machi, Cristina
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Conference:
- ASCE International Conference on Computing in Civil Engineering 2023
- Location: Corvallis Oregon, United States
- Date: 2023-6-25 to 2023-6-28
- Publication Date: 2024
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 118-126
- Monograph Title: Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability
Subject/Index Terms
- TRT Terms: Crowdsourcing; Floods; Incident management; Interrupted flow; Traffic characteristics; Traffic flow
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01908509
- Record Type: Publication
- ISBN: 9780784485248
- Files: TRIS, ASCE
- Created Date: Feb 20 2024 9:16AM