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
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