Modeling Traffic Accidents
Data on traffic accidents clearly points to road black spots, where the accident rate is always high. We propose methodology that is based on spatially explicit agent-based simulation model of vehicle-pedestrian interaction for estimating accident risk at a black spot. We implemented this methodology in SAFEPED - spatially explicit 3D simulation environment. SAFEPED includes functionality for import / modification 3D model of road environment, enable specification of behavioral parameters of driver and pedestrian agents, scheduling vehicular and pedestrian flow. Analysis of data recorded during SAFEPED simulation is useful for taking better urban design decisions in context of pedestrian safety.
Collaborators: Prof. Shraga Shoval, Ariel University
Funded by: ISF, Black Spot Virtual Reality: Assessing Road Safety Based on Explicit Simulation of Drivers’ and Pedestrians’ Behavior, 2013 – 2016