Title :
A collision risk assessment approach as a basis for the on-board warning generation in cars
Author :
De Nicolao, Giuseppe ; Ferrara, Antonella ; Giacomini, Luisa
Author_Institution :
Dept. of Comput. Eng. & Syst. Sci., Pavia Univ., Italy
Abstract :
The safety of unprotected road users, such as pedestrians, cyclists and motorcyclists, can be improved by means of intelligent technology. In this paper, the topic of on-board warning generation for cars moving in an urban scenario is addressed. A warning can be based on the evaluation of the collision risk. The risk assessment task is performed off-line relying on suitable stochastic models of the unprotected road users behaviour, and on deterministic dynamical model of the car, as well as applying a Monte Carlo simulation-based technique.
Keywords :
Monte Carlo methods; driver information systems; stochastic processes; Monte Carlo simulation based technique; collision risk; collision risk assessment approach; cyclists; deterministic dynamical model; motorcyclists; on-board car warning generation; pedestrians; risk assessment task; road users behaviour; stochastic models; Computational modeling; Helium; Monte Carlo methods; Protection; Risk management; Road accidents; Road safety; Stochastic processes; Vehicle safety; Vehicles;
Conference_Titel :
Intelligent Vehicle Symposium, 2002. IEEE
Print_ISBN :
0-7803-7346-4
DOI :
10.1109/IVS.2002.1187988
