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Extracting the fundamental diagram from aerial footage

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Document pages: 5 pages

Abstract: Efficient traffic monitoring is playing a fundamental role in successfullytackling congestion in transportation networks. Congestion is stronglycorrelated with two measurable characteristics, the demand and the networkdensity that impact the overall system behavior. At large, this system behavioris characterized through the fundamental diagram of a road segment, a region orthe network. In this paper we devise an innovative way to obtain thefundamental diagram through aerial footage obtained from drone platforms. Thederived methodology consists of 3 phases: vehicle detection, vehicle trackingand traffic state estimation. We elaborate on the algorithms developed for eachof the 3 phases and demonstrate the applicability of the results in areal-world setting.

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