Estimating the Impact of COVID-19 on Travel Demand in the Houston Area Using Deep Learning and Satellite Imagery
Author:
Affiliation:
1. Dept. of Construction Management, Univ. of Houston.
2. Dept. of Transportation, Logistics, and Finance, North Dakota State Univ. Email:
3. School of Traffic and Transportation, Shijiazhuang Tiedao Univ. Email:
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784484876.038
Reference15 articles.
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2. Fagrhi, A., and Ozden, A. (2015). Satellite Assessment and Monitoring for Pavement Management. Center for Advanced Infrastructure and Transportation, State University of New Jersey: Piscataway, NJ, USA.
3. Economic feasibility study for pavement monitoring using synthetic aperture radar-based satellite remote sensing: Cost- benefit analysis;Li M.;Transportation Research Record,2017
4. Predicting road quality using high-resolution satellite imagery: A transfer learning approach;Brewer E.;Plos one,2021
5. Exploring the Capabilities of Optical Satellite Imagery in Evaluating Pavement Condition
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