Abstract
Unsignalized crosswalks are one of the most critical/risky traffic infrastructures in terms of safety, due to potentially vehicle–pedestrian conflictual interactions. Many accidents occur there and elderly pedestrians are among the most vulnerable victims. In a previous work, a simulation model has been developed with the aim of predicting traffic volumes and waiting times by reproducing the behavior of pedestrians and drivers during crossing attempts. Calibration and validation was performed based on experimental data gained through a field observation in an area with a significant population of elderlies. In this paper, we are focusing on safety issues and the simulation model has been adapted to include collisions between vehicles and pedestrians. The new simulation model presented here allows to compute the risk of an unsignalized crosswalk by considering both frequency and gravity of collisions. We consequently used the simulation model to evaluate the efficacy of particular policies. Simulation results show that while speed limit enforcement has an important effect in reducing pedestrian causalities, alternative and indirect solutions aiming at improving drivers’ awareness are also effective to improve safety.
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Acknowledgements
This research was funded by the “AI*IA Incoming Mobility Grants 2016,” the “University of Tokyo international students scholarship,” and the SEUT-RA program.
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Feliciani, C., Crociani, L., Gorrini, A., Vizzari, G., Nishinari, K., Bandini, S. (2019). Assessment of Pedestrian Fatality Risk at Unsignalized Crosswalks by Means of Simulation. In: Hamdar, S. (eds) Traffic and Granular Flow '17. TGF 2017. Springer, Cham. https://doi.org/10.1007/978-3-030-11440-4_46
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DOI: https://doi.org/10.1007/978-3-030-11440-4_46
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