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

Volume

2

fYear

2002

fDate

17-21 June 2002

Firstpage

436

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicle Symposium, 2002. IEEE

Print_ISBN

0-7803-7346-4

Type

conf

DOI

10.1109/IVS.2002.1187988

Filename

1187988