2021
DOI: 10.1088/1755-1315/638/1/012030
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Signal Coordination Control Based on Comprehensive Correlation Degree

Abstract: The correlation degree between nodes of urban traffic network is the basis of sub-area division, and the signal coordination control in sub-area is very effective to improve the traffic efficiency of road network. In this paper, based on the study of unsaturated traffic state, the paper first analyzes the shortcomings of the existing correlation degree model, and constructs a comprehensive correlation degree model to measure the relationship between the two nodes by considering the factors of section spacing, … Show more

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Cited by 4 publications
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“…Hu et al [9], Zhou et al [10] and Wen et al [11] proposed similar correlation degree models when studying the subarea partition problem. The unidirectional correlation degree from intersection to intersection , !→# , was expressed as a decreasing function of the link length.…”
Section: Introductionmentioning
confidence: 99%
“…Hu et al [9], Zhou et al [10] and Wen et al [11] proposed similar correlation degree models when studying the subarea partition problem. The unidirectional correlation degree from intersection to intersection , !→# , was expressed as a decreasing function of the link length.…”
Section: Introductionmentioning
confidence: 99%
“…Under certain applicable conditions, this method can reduce the total amount of passenger delay effectively at intersections along arterials [11]. Based on the design of phase coordination, Zhang et al proposed a green wave coordinated control method in arterials based on overlapped phases to better match the arrival time of the twoway traffic flow when the green light turns on at intersections [12][13][14][15][16][17]. Lan and Wu used the method of correlation analysis and regression analysis to establish correlation model of adjacent intersections, the principle and process of traffic partition were designed by using analytic hierarchy process, and a new traffic partition model was proposed [18].…”
Section: Introductionmentioning
confidence: 99%