Title :
Intersection Safety Evaluation Method Based on Bayesian Network
Author :
Zhu Sheng-xue ; Lu Jian ; Xiang Qiao-jun ; Yan Linli
Author_Institution :
Sch. of Transp., Southeast Univ., Nanjing, China
Abstract :
In order to objectively evaluate the traffic safety performance of intersection, this study puts forward an intersection safety evaluation model based on BN which treats the expertspsila different opinions effectively, and obtains reasonable results even without certain expertspsila opinions. Then the paper presents the topological structure of the model and the reasoning process of aggregating expertspsila experiences and knowledge. Finally the paper evaluates an intersection with the model to show that it diagnoses and analyses the intersection safety conveniently which neednpsilat the traffic accident statistical data and traffic conflict survey.
Keywords :
Bayes methods; belief networks; inference mechanisms; road safety; road traffic; Bayesian network; intersection traffic safety evaluation method; reasoning process; topological structure; Artificial intelligence; Automation; Bayesian methods; Economic forecasting; Mechatronics; Road accidents; Road safety; Telecommunication traffic; Traffic control; Uncertainty;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.172