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Published June 30, 2020 | Version v1
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Extracting the fundamental diagram from aerial footage

Authors/Creators

  • 1. KIOS Research and Innovation Center of Excellence, University of Cyprus

Description

Efficient traffic monitoring is playing a fundamental role in successfully tackling congestion in transportation networks. Congestion is strongly correlated with two measurable characteristics, the demand and the network density that impact the overall system behavior. At large, this system behavior is characterized through the fundamental diagram of a road segment, a region or the network. In this paper we devise an innovative way to obtain the fundamental diagram through aerial footage obtained from drone platforms. The derived methodology consists of 3 phases: vehicle detection, vehicle tracking and traffic state estimation. We elaborate on the algorithms developed for each of the 3 phases and demonstrate the applicability of the results in a real-world setting.

Notes

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. R. Makrigiorgis, P. Kolios, S. Timotheou, T. Theocharides and C. G. Panayiotou, "Extracting the fundamental diagram from aerial footage," 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020, pp. 1-5, doi: 10.1109/VTC2020-Spring48590.2020.9128534.

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Additional details

Funding

European Commission
KIOS CoE - KIOS Research and Innovation Centre of Excellence 739551

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