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Study on Dynamic Optimization and Control Algorithm of Overlapping Phase of the Traffic Flow

Published: 06 June 2021 Publication History

Abstract

In order to further improve the control efficiency of urban intersections, this paper took overlapping phase of the traffic flow as the optimization object, and put forward the dynamic optimization and control algorithm of overlapping phase of the traffic flow at intersection. This algorithm based on the compatibility relation of traffic flow, built the overlapping phase set of traffic flow, according to the switching structure of overlapping phase of the traffic flow, established the intersection benefit function, the traffic flow was dynamically selected to form the overlapping phase according to the minimum queue delay, the timing of the overlapping phase was further optimized with the minimum queue delay as the optimization objective, so as to realize the dynamic optimization and control of the overlapping phase of traffic flow. Finally, the intersection of Huang Shan road and Tian Zhi road in Hefei was tested. The experimental result showed that, after using the algorithm of this paper, the average delay and stop were greatly reduced compared with the method of the fixed-time control and the actuated control when the traffic flow was unevenly distributed and fluctuated at intersection.

References

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ICCBN '21: Proceedings of the 2021 9th International Conference on Communications and Broadband Networking
February 2021
342 pages
ISBN:9781450389174
DOI:10.1145/3456415
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2021

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Author Tags

  1. Control algorithm
  2. Dynamic optimization
  3. Intersection
  4. Overlapping phase
  5. Urban traffic

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • University Natural Sciences Research Project of Anhui Province
  • Talent Research Fund Project of Hefei University

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ICCBN 2021

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