A semantic Case-Based Reasoning system to improve road safety. (15th May 2008)

• Record Type: Journal Article
• Authors: Ceausu, Valentina
• Is Part Of: International journal of intelligent information and database systems. Volume 2:Number 2(2008)
• Page Start: 277
• Page End: 293
• Publication Date: 2008-05-15
• Subjects: road safety -- semantic technologies -- case-based reasoning -- CBR -- ontology -- accident scenarios -- traffic accidents -- infrastructure impact -- accident prevention -- infrastructure engineering -- automation; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

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.