Probabilistic speed–density relationship for pedestrian traffic |
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| Institution: | 1. Transport and Mobility Laboratory, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne, Station 18, CH-1015 Lausanne, Switzerland;2. Département des génies civil, géologique et des mines, Polytechnique Montréal, 2500 Ch. Polytechnique Montréal, H3T 1J4 Montréal, Canada;1. School of Architecture, Harbin Institute of Technology, Harbin 150001, China;2. School of Architecture, Western Bank, University of Sheffield, S10 2TN, UK;3. State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China;1. LPTMS, CNRS & Univ. Paris-Sud, F-91405 Orsay, France;2. CONICET & Centro Atómico Bariloche, Bariloche, 8400, Argentina |
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| 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. |
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