DocumentCode :
25195
Title :
Identifying factors affecting drivers´ selection of unconventional outside left-turn lanes at signallised intersections
Author :
Pan Liu ; Chengcheng Xu ; Wei Wang ; Jingjing Wan
Author_Institution :
Sch. of Transp., Southeast Univ., Nanjing, China
Volume :
7
Issue :
4
fYear :
2013
fDate :
Dec-13
Firstpage :
396
Lastpage :
403
Abstract :
An unconventional outside left-turn lane design has been increasingly used at signallised intersections in the urban areas in China. The unconventional outside left-turn lane design allows an exclusive left-turn lane to be located to the right of through lanes. The study presented in this paper evaluated the factors that affected drivers´ selection of left-turn lanes at signallised intersections where both inside and outside left-turn lanes were provided. A binary logit model was developed to quantitatively evaluate the impact of contributing factors on drivers´ selection of outside left-turn lanes. It was found that the chance of a driver choosing the outside left-turn lane would increase with an increase in the traffic volume on the major street and the queue length in the inside left-turn lane; and would decrease with an increase in the distance between the upstream side street to the signallised intersection. In addition, drivers of heavy vehicles and those from the upstream right-side side streets were more likely to select outside left-turn lanes. Based on the data analysis results, a procedure was proposed to help transportation professionals determine if outside left-turn lanes were needed given traffic conditions and geometric characteristics of a signallised intersection.
Keywords :
statistical analysis; transportation; China; binary logit model; data analysis; driver selection; exclusive left-turn lane; geometric characteristics; queue length; signallised intersections; traffic conditions; traffic volume; transportation professionals; unconventional outside left-turn lanes; upstream right-side side streets; urban areas;
fLanguage :
English
Journal_Title :
Intelligent Transport Systems, IET
Publisher :
iet
ISSN :
1751-956X
Type :
jour
DOI :
10.1049/iet-its.2011.0229
Filename :
6684142
Link To Document :
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