DocumentCode
523706
Title
Research on Decision Risk of Driving Behavior Based on Traffic Information Asymmetry Degree
Author
Ren, Yuanyuan ; Li, Xiansheng ; Liu, Hongfei
Author_Institution
Coll. of Transp., Jilin Univ., Changchun, China
Volume
2
fYear
2010
fDate
11-12 May 2010
Firstpage
1138
Lastpage
1141
Abstract
Analyzing driving behavior decision risk is the key to evaluate the road traffic safety. In order to understand the production mechanism of behavior decision risk preferably, the application of information asymmetry theory will set up the decision risk of driving behavior model centering on the traffic accident probability, the accident severity and the traffic information asymmetry degree in this paper, finally, the practicality and accuracy of model were verified through examples. The case has showed that the road traffic information searching and judging is different for drivers of different vehicle type in the same road section, which also leads to the different running risk degree in some extent. The investigation result is that the integrated risk of heavy truck and large bus is highest, while the mini bus is lowest, and the light truck is middle, which has fully verified the effectiveness of the model.
Keywords
decision theory; driver information systems; probability; risk analysis; road safety; road traffic; road vehicles; driving behavior decision risk; heavy truck; information asymmetry theory; large bus; light truck; mini bus; road traffic information searching; road traffic safety; traffic accident probability; traffic information asymmetry degree; Automation; Cognition; Educational institutions; Probability; Production; Road accidents; Road safety; Road transportation; Road vehicles; Traffic control; Driving Behavior Decision Risk; Information Asymmetry Degree; Information Transmission; Traffic Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.655
Filename
5522890
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