DocumentCode
3519222
Title
Research on Influence Extention of Two-Lane Highway Intersections Based on Traffic Accident Database
Author
Lingtao, Wu ; Manjuan, Yang ; Chengcheng, Tang ; Daoyue, Peng ; Guohua, Shen ; Tiejun, Zhang ; Zhanyang, Guo
Author_Institution
Key Lab. of Road Safety Minist. of Transp., Res. Inst. of Highway Minist. of Transp., Beijing, China
Volume
2
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
244
Lastpage
246
Abstract
Intersections are of great importance to highway network, and it is commonly thought that traffic accidents happen more at intersections than normal segments. Traffic conflicts and traffic flow changes always exist at some extention of intersections. It´s extremely crucial to recognize the influence extention of intersections to the network, which can help to indentify the safety status of the intersections and to take corresponding countermeasures. The distribution of traffic accidents along the intersection center of each direction are analyzed based on the traffic accident database using traffic accident index. The distribution line of traffic accident index around intersections is like a Gaussian function, which is more higher at center. The line vividly shows that traffic accidents happen more at intersection centers, and decrease gradually as the space to intersection center increases, while the distribution of traffic accidents seems no change when the space is more than about 400 meters. 325 meters at each direction from intersection center are recognized as the intersection influence extention on two-lane highway after deeper analysis.
Keywords
Gaussian processes; road accidents; road safety; road traffic; traffic engineering computing; Gaussian function; highway network; intersection influence extention; safety status; traffic accident database; traffic accident index; traffic conflict; traffic flow; two-lane highway intersection; Highway Intersection; Influence Extention; Traffic Accidents; Traffic Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.51
Filename
5663417
Link To Document