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|Title:||Road safety assessment using Bayesian belief networks and agent-based simulation||Authors:||Gregoriades, Andreas||Major Field of Science:||Social Sciences||Field Category:||Computer and Information Sciences||Keywords:||Bayesian networks;Computer simulation;Highway accidents;Intelligent agents||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:||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||DOI:||10.1109/ICSMC.2007.4413954||Rights:||© 2007 IEEE||Type:||Conference Papers||Affiliation :||University of Cyprus|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια /Conference papers - poster -presentation|
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