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Author:

Yu, Quan (Yu, Quan.) | Shi, Liping (Shi, Liping.) | Li, Ning (Li, Ning.) | Deng, Xiaohui (Deng, Xiaohui.)

Indexed by:

EI Scopus

Abstract:

This paper presents a simple identifying method of bike group,then takes bicycle groups of signalized intersection as the research object, investigations and video cameras are carried out at two signalized intersections in Beijing and Tianjin city. For the data analysis,by using K-means cluster analysis method,this paper selects three criterions which are the average speed of bicycle group,the width of bicycle group and the length of bicycle group. Based on three indexes, the passing stage of the bicycle groups at two signalized intersections of Beijing city and Tianjin city are divided into three stages :the first stage for bicycle group gradually spreading,the second stage for expanding,the third stage for gradually shrinking.The research on the passing stage of bicycle group starting and running through the intersection at the signalized intersection are useful for determining the capacity of vehicles with the impact of bicycle, and for calculating the signal timing of bicycle under the mixed traffic flow condition at signalized intersection. © (2011) Trans Tech Publications.

Keyword:

Street traffic control Video cameras Timing circuits Building materials Construction equipment Bicycles Cluster analysis Intersections Stages Civil engineering Traffic signals

Author Community:

  • [ 1 ] [Yu, Quan]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Shi, Liping]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Li, Ning]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Deng, Xiaohui]Key Laboratory of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

ISSN: 1022-6680

Year: 2011

Volume: 243-249

Page: 4408-4412

Language: English

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: 6

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