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Author:

Gao, Chao (Gao, Chao.) | Liu, Xiao-Ming (Liu, Xiao-Ming.) (Scholars:刘小明) | Yang, Xiao-Kuan (Yang, Xiao-Kuan.)

Indexed by:

EI Scopus

Abstract:

The effect of pedestrian and bicycle infrastructure is used to analyze the capacity for right-turn lane at signalized intersection. Each cycle at the signalized intersection was divided into several periods. The effect of pedestrian and bicycle at each period was analyzed. The number of right-turn cars going through signalized intersection was calculated by using probability theory and mathematical statistics. The capacity under the effect of pedestrian and bicycle for right-turn lane at signalized Intersection was deduced. The calculated results were deduced by using the survey data of two signalized intersections at Jinan city. The mean difference values are 8% and 10.1%, compared with VISSIM simulation results. The comparisons show that this model can fully describe the effect of pedestrian and bicycle to signalized intersection.

Keyword:

Statistics Highway engineering Probability Traffic control Traffic signals Bicycles

Author Community:

  • [ 1 ] [Gao, Chao]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Liu, Xiao-Ming]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Yang, Xiao-Kuan]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing; 100124, China

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Source :

Cybernetics and Information Technologies

ISSN: 1311-9702

Year: 2016

Issue: 5

Volume: 16

Page: 146-155

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:167

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: 10

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