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author:

Lai, Y.-W. (Lai, Y.-W..) [1] | Rong, J. (Rong, J..) [2] | Liu, X.-M. (Liu, X.-M..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

In order to estimate the capacity of right-turn lane at signalized intersections with channelized islands. Based on the gap acceptance model, this paper proposes a new approach to calculating the capacity of right-turn lane at signalized intersections with channelized islands. This model takes into account the interference of non-motorized traffic enter channelized islands. The non-motorized traffic is treated as the traffic on the major road-a crosswalk, which has great impacts on right-turn vehicles on the minor road-an exclusive right-turn lane. The basic model is modified by introducing the red light effect adjustment coefficient. The new model is calibrated and tested using the field data collected at 6 signalized intersections with channelized islands in 4 cities. The average relative error between the calculated value and the observed is 9.28%, which means the proposed method in this paper can better estimate the capacity of an exclusive free right-turn lane under the interference of non-motorized traffic.

Keyword:

Capacity model of the right-turn lane; Channelized islands; Gap acceptance theory; Signalized intersection; Traffic engineering

Community:

  • [ 1 ] [Lai, Y.-W.]Beijing Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Lai, Y.-W.]College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Rong, J.]Beijing Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Liu, X.-M.]Beijing Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing 100124, China

Reprint 's Address:

  • [Lai, Y.-W.]Beijing Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2012

Issue: 6

Volume: 38

Page: 865-869

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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