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Author:

Liu, Jin-Guang (Liu, Jin-Guang.) | Yu, Quan (Yu, Quan.) | Rong, Jian (Rong, Jian.) (Scholars:荣建) | Liu, Xiao-Ming (Liu, Xiao-Ming.) (Scholars:刘小明)

Indexed by:

EI Scopus

Abstract:

The design of phase sequence is very important to signal control timing. The research embodied in this paper presents a new method of designing the phase sequence of the signal control, based on the conglomeration of pedestrians and bicycles in our country. Firstly, we present a new definition of the conglomeration of pedestrians and bicycles at the first phase after analyzing the two phases of the releasing characteristics of the signalized intersection. Next, we present a new method which is based on suppositional grids to describe the conglomeration. Then, we present a new method to optimize the phase sequence based on the time-space resource usage of the intersection. In order to optimize the phase sequence quantitatively, we found the model of conflict timing between the conglomeration and the vehicles. As for estimating the optimal phase sequence, we used the model of conflict timing. Finally, the application of this method is illustrated with the signalized intersection of Pingleyuan in Beijing. Under the simulation, the method gives an optimized result. © 2009 ASCE.

Keyword:

Bicycles Sporting goods Traffic signals

Author Community:

  • [ 1 ] [Liu, Jin-Guang]Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Yu, Quan]Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Rong, Jian]Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Liu, Xiao-Ming]Key Lab. of Transportation Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Year: 2009

Volume: 358

Page: 1611-1617

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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