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Pedestrian Behaviour Modeling and Simulation from Real Time Data Information

Abstract : Accidents of pedestrians sometimes take lives, in Bucara-manga since 2012 pedestrian died by accidents are 179, and 2873 hurt, In a city as Bucaramanga, this means each day at least one pedestrian is involved in a accident. Therefore is necessary to know the causes of accidents in the way to decrease the accidents. One of many reasons to know the causes is with system dynamics, simulating the events of the Pedestrian behavior when accidents occur in risen cities. The implementation simulation joint with technology and research looking for saving lives, reducing the accidental rate, and to implementing or suggesting new policies from the government. This project is looking for the implementation of technology in video records and Deep Learning analysis for the service of the citizens, where a simulation model will be revealing the main variables which intervene in the pedestrian's behavior. As initials results, shows the methodology here implemented, can reach data which was insufficient before thanks to the cameras and software of objects detection , those are the data input for the simulation model, which after to implement a change in a particular spot of Bucaramanga is possible decrease the accident rate in 80% where pedestrians could be involved.
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Submitted on : Saturday, August 15, 2020 - 4:27:52 PM
Last modification on : Monday, January 18, 2021 - 12:02:02 PM
Long-term archiving on: : Monday, November 30, 2020 - 8:12:42 PM


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  • HAL Id : hal-02915702, version 1



Michael Puentes, Diana Novoa, John M Delgado Nivia, Carlos J Barrios Hernndez, Oscar Carrillo, et al.. Pedestrian Behaviour Modeling and Simulation from Real Time Data Information. 2nd Workshop CATAÏ - SmartData for Citizen Wellness, Oct 2019, Bogotá, Colombia. ⟨hal-02915702⟩



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