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Author:

Zong, Erkai (Zong, Erkai.) | Shao, Changqiao (Shao, Changqiao.) | Yang, Chao (Yang, Chao.) | Bai, Miao (Bai, Miao.) | Liu, Liqin (Liu, Liqin.)

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EI Scopus

Abstract:

Based on the survey data of three signalized intersections with exclusive triple left-turn lane and with outside trap lane in Beijing, traffic flow characteristics of left-turns are studied by using statistical methods. It shows that the discharge headway and saturation flow rate of exclusive triple left-turn lane with outside trap lane divides into two stages when the discharge time of vehicles in the left-turn bay is less than the left-turn green time. This problem is uncharted in the Highway Capacity Manual (HCM). This research analyzes the effects of relationship between the length of left-turn bay and green time on the left-turn capacity. A theoretic model for left-turn capacity is developed by considering this characteristic. The developed capacity model will be validated on the basis of VISSIM simulations of a real-world signalized intersection. And the results demonstrate that the proposed capacity models well estimate the left-turn capacity at signalized intersections in the case, which the length of left-turn bay and green time is not well optimized and well reflect the capacity loss due to the transitional area bottleneck. © 2012 American Society of Civil Engineering.

Keyword:

Cost effectiveness Multimodal transportation Intersections Traffic surveys Traffic signals Highway engineering Highway traffic control

Author Community:

  • [ 1 ] [Zong, Erkai]Transportation Research Center, Beijing University of Technology, P.O. Box 100124, Beijing, China
  • [ 2 ] [Shao, Changqiao]Transportation Research Center, Beijing University of Technology, P.O. Box 100124, Beijing, China
  • [ 3 ] [Yang, Chao]Transportation Research Center, Beijing University of Technology, P.O. Box 100124, Beijing, China
  • [ 4 ] [Bai, Miao]Ningbo Urban Planning and Design Institute, P.O. Box 315042, Ningbo, China
  • [ 5 ] [Liu, Liqin]Transportation Research Center, Beijing University of Technology, P.O. Box 100124, Beijing, China

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Source :

Year: 2012

Page: 434-447

Language: English

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 10

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