Title: A semantic Case-Based Reasoning system to improve road safety

Authors: Valentina Ceausu

Addresses: Computer Science Research Center, Rene Descartes University, 45, Rue des Saints Peres, 75270 Paris cedex 06, France

Abstract: This paper presents a semantic Case-Based Reasoning (CBR) system designed to improve road safety. The system is based on the automatic exploitation of accident scenarios, a new road safety research tool. Accident scenarios describe prototypes of traffic accidents and point out the impact of the infrastructure for a particular accident prototype. Prevention measures concerning infrastructure engineering such as adapting the layout and use of road are provided for each accident scenario. Thereby, assigning real traffic accidents to accident scenarios allows us to establish road dysfunctions leading to accident. The system described in this paper provides an automatic solution to assign traffic accidents to accident scenarios by adopting a CBR approach.

Keywords: road safety; semantic technologies; case-based reasoning; CBR; ontology; accident scenarios; traffic accidents; infrastructure impact; accident prevention; infrastructure engineering; automation.

DOI: 10.1504/IJIIDS.2008.018259

International Journal of Intelligent Information and Database Systems, 2008 Vol.2 No.2, pp.277 - 293

Available online: 13 May 2008 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article