Optimization of Signal Intersection Delay Analysis—Taking Zhongshan East Road and Jianshe Street in Shijiazhuang City as an Example
DOI: 10.23977/acss.2023.071012 | Downloads: 18 | Views: 273
Author(s)
Jiayao Li 1, Baozhen Guo 2, Yan Chen 1,3
Affiliation(s)
1 School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan, 454000, China
2 School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang, Hebei, 050018, China
3 Jiaozuo Road Traffic and Transportation Science and Technology Research Center, Henan Polytechnic University, Jiaozuo, Henan, 454000, China
Corresponding Author
Yan ChenABSTRACT
Intersection is an important part of urban road traffic system, and its existence is of great significance. The design and management of intersections directly affect the traffic capacity and operation efficiency of the entire urban road. Improving the traffic capacity of intersections and reducing vehicle delays are beneficial to the traffic capacity of the entire urban road. This paper takes the intersection of Zhongshan East Road and Jianshe South Street in Shijiazhuang City as the research object, and analyzes its traffic capacity and delay in view of the problems at the intersection. The traffic flow model is used to analyze the traffic capacity of the intersection, and the design capacity of each phase of the intersection is obtained. According to the traffic delay analysis, the congestion of the intersection is calculated, and the congestion problem of the intersection is found. Finally, the Webster method is used for signal timing and other methods to optimize the intersection, so as to improve the traffic capacity of the intersection of Zhongshan East Road and Jianshe South Street.
KEYWORDS
Intersection; capacity delay; analysis signal timingCITE THIS PAPER
Jiayao Li, Baozhen Guo, Yan Chen, Optimization of Signal Intersection Delay Analysis—Taking Zhongshan East Road and Jianshe Street in Shijiazhuang City as an Example. Advances in Computer, Signals and Systems (2023) Vol. 7: 82-91. DOI: http://dx.doi.org/10.23977/acss.2023.071012.
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