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A Heuristic Approach for Multi-Path Signal Progression Considering Traffic Flow Uncertainty

Author

Listed:
  • Tianrui Hai

    (School of Transportation, Southeast University, Jiulonghu Campus, Nanjing 211100, China
    These authors contributed equally to this work.)

  • Gang Ren

    (School of Transportation, Southeast University, Jiulonghu Campus, Nanjing 211100, China)

  • Weihan Chen

    (School of Transportation, Southeast University, Jiulonghu Campus, Nanjing 211100, China
    These authors contributed equally to this work.)

  • Qi Cao

    (School of Transportation, Southeast University, Jiulonghu Campus, Nanjing 211100, China)

  • Changyin Dong

    (School of Transportation, Southeast University, Jiulonghu Campus, Nanjing 211100, China)

Abstract

The multi-path progression of an arterial signal model, generally, is applied to arterial traffic scenarios with large turning flows. However, existing methods generally fail to capture traffic flow uncertainty, which leads to high sensitivity to fluctuations in traffic flow. To bridge this gap, in this study, a heuristic approach for multi-path signal progression is proposed to deal with the uncertainties of flow fluctuation by using distributionally flow scenarios. The model varies the phase sequence and the offsets of each intersection to achieve optimal progression with weighting of efficiency and stability. The preference degree of the efficiency and stability of the model is selected by adjusting the efficiency stability coefficient and solved by using a genetic algorithm. A case study and comparison experiment with benchmark models is presented and analyzed to prove the advantages of the proposed model. The results show that the standard deviation of the proposed model decreases by 45% as compared with conventional methods. It indicates that the model proposed in this paper can reduce congestion due to uncertainties, and can significantly improve stability, on the premise of ensuring that the efficiency index maintains a better value.

Suggested Citation

  • Tianrui Hai & Gang Ren & Weihan Chen & Qi Cao & Changyin Dong, 2023. "A Heuristic Approach for Multi-Path Signal Progression Considering Traffic Flow Uncertainty," Mathematics, MDPI, vol. 11(2), pages 1-21, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:377-:d:1031494
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    References listed on IDEAS

    as
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    2. Little, John D. C. & Kelson, Mark D. & Gartner, Nathan H., 1981. "MAXBAND : a versatile program for setting signals on arteries and triangular networks," Working papers 1185-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Gartner, Nathan H. & Assman, Susan F. & Lasaga, Fernando & Hou, Dennis L., 1991. "A multi-band approach to arterial traffic signal optimization," Transportation Research Part B: Methodological, Elsevier, vol. 25(1), pages 55-74, February.
    4. Heydecker, Benjamin, 1987. "Uncertainty and variability in traffic signal calculations," Transportation Research Part B: Methodological, Elsevier, vol. 21(1), pages 79-85, February.
    Full references (including those not matched with items on IDEAS)

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