Edge-Based Traffic Flow Data Collection Method Using Onboard Monocular Camera

Author:

Zhuang Yifan1ORCID,Ke Ruimin2,Wang Yinhai3

Affiliation:

1. Ph.D. Student, Smart Transportation Application and Research Lab, Dept. of Civil and Environmental Engineering, Univ. of Washington, 101 More Hall, Seattle, WA 98195. ORCID: .

2. Ph.D. Student, Smart Transportation Application and Research Lab, Dept. of Civil and Environmental Engineering, Univ. of Washington, 101 More Hall, Seattle, WA 98195.

3. Director and Professor, Pacific Northwest Transportation Consortium, USDOT University Transportation Center for Federal Region 10, Univ. of Washington, Seattle, WA 98195-2700 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference55 articles.

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2. Amato G. F. Carrara F. Falchi C. Gennaro and C. Vairo. 2016. “Car parking occupancy detection using smart camera networks and deep learning.” In Proc. 2016 IEEE Symp. on Computers and Communication (ISCC) 1212–1217. New York: IEEE.

3. Incident detection methods using probe vehicles with on-board GPS equipment;Asakura Y.;Transp. Res. Procedia,2015

4. Barbagli B. G. Manes R. Facchini and A. Manes. 2012. “Acoustic sensor network for vehicle traffic monitoring.” In Proc. 1st Int. Conf. on Advances in Vehicular Systems Technologies and Applications 24–29. Wilmington DE: International Academy Research and Industry Association.

5. Brockfeld E. P. Wagner St. Lorkowski and P. Mieth. 2007. “Benefits and limits of recent floating car data technology—An evaluation study.” In Proc. CDROM-WCTR2007: C2-830. Seattle: The Allen Institute for Artificial Intelligence.

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