Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13729
Title: Influence of Stretching-Segment Storage Length on Urban Traffic Flow in Signalized Intersection
Authors: Guo, Weiwei
Wang, Wuhong
WETS, Geert 
Wang, Dianhai
Mao, Yan
Jiang, Xiaobei
Guo, Hongwei
Issue Date: 2011
Publisher: ATLANTIS PRESS
Source: INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 4 (6), p. 1401-1406
Abstract: Intelligent traffic control is influenced by Stretching-segment design, parameters optimization of traffic control have to consider saturation flow rate in approach. Many intersections with different stretching-segment design forms are selected to study on saturation flow rate at peak rush hour and ordinary time hour, the characteristic of saturation flow rate in green time is analyzed. Based on the real traffic situation, the influence of the length of stretching-segment storage to straight-cross flow rate was explored in this study. The data showed that the duration and stability of saturation flow rate were highly influenced by the length of stretching-segment storage. A probabilistic computing model was proposed, which analyzed the effect of the length of stretching-segment to the flow rate and described the impact of vehicles in the upstream. Finally, the attenuate regulation of the straight-cross flow rate in green phase is developed by the analysis of vehivle's blocking.
Notes: [Guo, Weiwei; Wang, Wuhong; Mao, Yan; Guo, Hongwei] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China. [Wets, Geert] Hasselt Univ, Transportat Res Inst, B-3590 Diepenbeek, Belgium. [Wang, Dianhai] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Zhejiang, Peoples R China. [Jiang, Xiaobei] Beijing Inst Technol, Dept Transportat Engn, Beijing 100081, Peoples R China. [Jiang, Xiaobei] Tech Univ Munich, Lehrstuhl Ergon, D-85747 Munich, Germany.
Keywords: Stretching-segment; Intelligent Traffic control; Parameter optimization; Saturation flow rate; Probabilistic computing;Computer Science; Artificial Intelligence; Interdisciplinary Applications; Stretching-segment; Intelligent Traffic control; Parameter optimization; Saturation flow rate; Probabilistic computing
Document URI: http://hdl.handle.net/1942/13729
ISSN: 1875-6891
e-ISSN: 1875-6883
DOI: 10.1080/18756891.2011.9727891
ISI #: 000303572000034
Category: A1
Type: Journal Contribution
Validations: ecoom 2013
Appears in Collections:Research publications

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