Paper Info
Title
Road safety assessment using bayesian belief networks and agent-based simulation.
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.
Year
DOI
Venue
2007
10.1109/ICSMC.2007.4413954
SMC
Keywords
Field
DocType
bayesian belief networks,management system,bayesian belief network,software agents
Computer science,Software agent,Road traffic management,Road traffic,Network simulation,Bayesian network,Artificial intelligence,Machine learning,Prediction system
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4244-0991-4
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Andreas Gregoriades113520.51