DocumentCode :
3203253
Title :
Right-Angle Crash Injury Severity Analysis Using Ordered Probability Models
Author :
Jin, Yu ; Wang, Xuesong ; Chen, Xiaohong
Author_Institution :
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
Volume :
3
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
206
Lastpage :
209
Abstract :
A lot of crashes happened at signalized intersections in the cities. As right-angle crashes at signalized intersection tend to be severe, this paper analyzes factors affecting right-angle crash injury severity. Our study made use of 197 four-legged signalized intersections from Orange and Hillsborough counties, Florida. Information which includes roadway inventory data, traffic control and operational features, estimated traffic volume in the hour of crash from was collected. In addition to all crash related variables, accident report format was changed from "long" to "short" to avoid correlation and overrepresentation. Ordered probability models were developed to examine the factors significantly contributing to the severity of right-angle crashes given that an accident had occurred. The results of the modeling process showed that person ejected or not, alcohol and/or drug use, the driver\´s age, point of impact, and standardized yellow time for entering movement were significant variables affecting the average severity of accidents.
Keywords :
probability; road safety; road traffic; ordered probability models; right-angle crash injury severity analysis; road safety; roadway inventory data; traffic control; traffic safety; Computer crashes; Drugs; Injuries; Logistics; Road accidents; Road safety; Signal analysis; Traffic control; Vehicle crash testing; Vehicle driving; ordered probability models; right-angle crash; signalized intersection; 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.2010.799
Filename :
5523245
Link To Document :
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