TY - JOUR
T1 - Influence of Stretching-Segment Storage Length on Urban Traffic Flow in Signalized Intersection
AU - Guo, Weiwei
AU - Wang, Wuhong
AU - Wets, Geert
AU - Wang, Dianhai
AU - Mao, Yan
AU - Jiang, Xiaobei
AU - Guo, Hongwei
PY - 2011/12
Y1 - 2011/12
N2 - 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.
AB - 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.
KW - Intelligent Traffic control
KW - Parameter optimization
KW - Probabilistic computing
KW - Saturation flow rate
KW - Stretching-segment
UR - http://www.scopus.com/inward/record.url?scp=84860848191&partnerID=8YFLogxK
U2 - 10.1080/18756891.2011.9727891
DO - 10.1080/18756891.2011.9727891
M3 - Article
AN - SCOPUS:84860848191
SN - 1875-6891
VL - 4
SP - 1401
EP - 1406
JO - International Journal of Computational Intelligence Systems
JF - International Journal of Computational Intelligence Systems
IS - 6
ER -