2021
DOI: 10.1155/2021/7649214
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Graphical Optimization Method for Symmetrical Bidirectional Corridor Progression

Abstract: The graphical progression method can obtain grand coordinated schemes with minimal computational complexity. However, there is no standardized solution for this method, and only a few related studies have been found thus far. Therefore, based on the in-depth discussion of the graphical optimization theory mechanism, a process-oriented and high-efficiency graphical method for symmetrical bidirectional corridor progression is proposed in this study. A two-round rotation transformation optimization process of the… Show more

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Cited by 4 publications
(2 citation statements)
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References 18 publications
(32 reference statements)
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“…Qu et al [19] constructed an optimization model of the offset for an artery based on traffic wave theory. A phase sequence adjustment method for improving the bandwidth of green band in bidirectional green wave control was proposed by Zhang [20], and a process-oriented and high-efficiency graphical method for symmetrical bidirectional corridor progression was proposed by Lu et al [21]. Moreover, signal retiming and optimization processes have been improved in innovative ways based on advances in data-driven and traffic simulation tools [22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Qu et al [19] constructed an optimization model of the offset for an artery based on traffic wave theory. A phase sequence adjustment method for improving the bandwidth of green band in bidirectional green wave control was proposed by Zhang [20], and a process-oriented and high-efficiency graphical method for symmetrical bidirectional corridor progression was proposed by Lu et al [21]. Moreover, signal retiming and optimization processes have been improved in innovative ways based on advances in data-driven and traffic simulation tools [22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…One traditional bandwidth maximization model, MAXBAND, was proposed to maximize bandwidths via modifying offsets, as well as cycle time and phasing sequence ( 15 ). Then, many researchers extended this method to consider more detailed attributes, such as volume changes between intersections ( 16 , 17 ), adjusted speed ranges ( 18 , 19 ), cycle time optimization ( 15 , 16 ), and phasing sequence selection for each intersection ( 20 , 21 ). For the abovementioned bandwidth maximization methods, they focus on the traffic flow from a major road, assuming that the traffic flow from side streets is negligible ( 22 ).…”
mentioning
confidence: 99%