Probabilistic speed–density relationship for pedestrian traffic

Marija Nikolić, Michel Bierlaire, Bilal Farooq and Matthieu de Lapparent

Transportation Research Part B: Methodological, 2016, vol. 89, issue C, 58-81

Abstract: We propose a probabilistic modeling approach to represent the speed–density relationship of pedestrian traffic. The approach is data-driven, and it is motivated by the presence of high scatter in the raw data that we have analyzed. We show the validity of the proposed approach, and its superiority compared to deterministic approaches from the literature using a dataset collected from a real scene and another from a controlled experiment.

Keywords: Speed–density relationship; Probabilistic model; Individual trajectories; Voronoi tessellations; Statistical validation (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (7)

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DOI: 10.1016/j.trb.2016.04.002

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