Abstract

To enlarge the green wave bandwidth between intersections of an artery and to design an effective green wave bandwidth, the conception of partitioned artery was proposed in this article. First, the artery was divided into sections systematically. After the calculation of the average volumes and intervals of the sections, two-way green wave optimization model of arteries based on division of artery was developed. Then, set constraint condition of public cycle by analyzing the relationship between cycle and delay, and the process of searching the bandwidth of partitioned green wave was proposed. Next, the bandwidth of partitioned green wave was optimized by the genetic algorithms with offset and public cycle as variables. Finally, simulation result shows the feasibility and effectiveness of proposed method based on the comparison and analysis of real data in Beijing.

Highlights

  • Green wave control is one of the most important way to regulate traffic signal of urban artery

  • Because intersection spacing and the distribution balance degree of space between intersections have effect on green wave band, the average flow rate of each phase and the space between intersections are selected as parameters to set the weight of partitioned artery green wave band akji, and B is denoted as the weighted sum of the green wave bandwidth of each section bkji, as shown in equation (1)

  • For partitioned artery consisted by two intersections, because longer intersection space would leads to a worse effect of green wave,[9] the ratio which calculated by result of 1 minus the sum of all partitioned spacing should be selected as the spacing weight Lkji of the two-intersection partitioned artery

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Summary

Introduction

Green wave control is one of the most important way to regulate traffic signal of urban artery. In Chen et al.,[8] the authors used the traffic volume imbalance coefficients of the key intersections in some consecutive intersections to adjust the offset and make the bandwidth of these consecutive intersections wider without reducing the bandwidth of the green waves at the same time, the target of optimizing the offsets can be achieved This method achieves the designation of comprehensive green wave band based on traffic flow adjustment, but some of its consecutive intersection division and comprehensive green wave band model still have some space to be optimized. Because intersection spacing and the distribution balance degree of space between intersections have effect on green wave band, the average flow rate of each phase and the space between intersections are selected as parameters to set the weight of partitioned artery green wave band akji, and B is denoted as the weighted sum of the green wave bandwidth of each section bkji, as shown in equation (1). Weights are divided into two situations that conclude two intersections and three intersections or even more intersections (

Traffic flow weight Qkji
Intersection spacing weight Lkji
Intersection spacing weight Dkji
Declaration of Conflicting Interests
Conclusion

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