Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14770
Title: Road safety assessment using Bayesian belief networks and agent-based simulation
Authors: Gregoriades, Andreas 
Keywords: Bayesian networks;Computer simulation;Highway accidents;Intelligent agents
Category: Computer and Information Sciences
Field: Social Sciences
Issue Date: 2007
Source: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2007, Article number 4413954, Pages 615-620 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007; Montreal, QC; Canada; 7 October 2007 through 10 October 2007; Code 71583
Journal: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 
Conference: 2007 IEEE International Conference on Systems, Man, and Cybernetics, 
Abstract: Road safety performance constitutes an important issue in road traffic management. Systems have been developed for assessing safety performance; however, these provide only historical or retrospective analyses. Effective safety management requires a prospective viewpoint. The main goal of this research is the integration of microscopic road network simulation with Bayesian Belief Network (BBN) technology for improved prediction of road accident risk. The paper describes the method along with the current state of the development of an accident prediction system. Preliminary validation studies of the road network simulation and BBN models are illustrated. .
URI: https://ktisis.cut.ac.cy/handle/10488/14770
ISBN: 1424409918
ISSN: 2-s2.0-40949101811
1062922X
https://api.elsevier.com/content/abstract/scopus_id/40949101811
DOI: 10.1109/ICSMC.2007.4413954
Rights: © 2007 IEEE
Type: Conference Papers
Appears in Collections:Άρθρα/Articles

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