IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v103y2017icp409-429.html
   My bibliography  Save this article

Arterial signal coordination with uneven double cycling

Author

Listed:
  • Zhou, Hongmin
  • Hawkins, H. Gene
  • Zhang, Yunlong

Abstract

In arterial coordination, high traffic volume at large intersections often requires a long cycle length to achieve good two-way progression. This long cycle length, however, often causes excessive delay at some minor intersections where the traffic volume is low on cross streets. This paper describes optimization models developed to enable uneven double cycling (UDC) in arterial signal coordination to address this issue. The control scheme adopts UDC at some of the minor intersections where a background cycle has two sub-cycles of different lengths. Two multi-objective UDC models are developed. The basic UDC model maximizes constant two-way bandwidths and minimizes average delay of through traffic on cross streets at UDC intersections. This model is then improved by maximizing variable bandwidth and considering pedestrian needs. The resultant models are a mixed integer quadratic programming (MIQP) problem. Results of numerical experiments and case study simulations indicate that the UDC control scheme can greatly reduce delay at UDC intersections without affecting progression quality of arterial through traffic. Preliminary guidelines are also provided for UDC implementation.

Suggested Citation

  • Zhou, Hongmin & Hawkins, H. Gene & Zhang, Yunlong, 2017. "Arterial signal coordination with uneven double cycling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 409-429.
    • Handle: RePEc:eee:transa:v:103:y:2017:i:c:p:409-429
    DOI: 10.1016/j.tra.2017.07.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416305146
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2017.07.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John T. Morgan & John D. C. Little, 1964. "Synchronizing Traffic Signals for Maximal Bandwidth," Operations Research, INFORMS, vol. 12(6), pages 896-912, December.
    2. John D. C. Little, 1966. "The Synchronization of Traffic Signals by Mixed-Integer Linear Programming," Operations Research, INFORMS, vol. 14(4), pages 568-594, August.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bielli, Maurizio & Reverberi, Pierfrancesco, 1996. "New operations research and artificial intelligence approaches to traffic engineering problems," European Journal of Operational Research, Elsevier, vol. 92(3), pages 550-572, August.
    2. Sadek, Bassel & Doig Godier, Jean & Cassidy, Michael J & Daganzo, Carlos F, 2022. "Traffic signal plans to decongest street grids," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 195-208.
    3. 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.
    4. Papola, Natale & Fusco, Gaetano, 1998. "Maximal bandwidth problems: a new algorithm based on the properties of periodicity of the system," Transportation Research Part B: Methodological, Elsevier, vol. 32(4), pages 277-288, May.
    5. Xingmin Wang & Zachary Jerome & Zihao Wang & Chenhao Zhang & Shengyin Shen & Vivek Vijaya Kumar & Fan Bai & Paul Krajewski & Danielle Deneau & Ahmad Jawad & Rachel Jones & Gary Piotrowicz & Henry X. L, 2024. "Traffic light optimization with low penetration rate vehicle trajectory data," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Lo, Hong K., 1999. "A novel traffic signal control formulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(6), pages 433-448, August.
    7. Yuan, Tianchen & Ioannou, Petros A., 2023. "Coordinated Traffic Flow Control in a Connected Environment," Institute of Transportation Studies, Working Paper Series qt6q67f9z4, Institute of Transportation Studies, UC Davis.
    8. Cantarella, G.E. & Pavone, G. & Vitetta, A., 2006. "Heuristics for urban road network design: Lane layout and signal settings," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1682-1695, December.
    9. Lo, Hong K. & Chang, Elbert & Chan, Yiu Cho, 2001. "Dynamic network traffic control," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 721-744, September.
    10. Pillai, Rekha S. & Rathi*, Ajay K. & L. Cohen, Stephen, 1998. "A restricted branch-and-bound approach for generating maximum bandwidth signal timing plans for traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 32(8), pages 517-529, November.
    11. Zhou, Xuesong, 2017. "Recasting and optimizing intersection automation as a connected-and-automated-vehicle (CAV) scheduling problem: A sequential branch-and-bound search approach in phase-time-traffic hypernetworkAuthor-N," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 479-506.
    12. Li, Pengfei & Mirchandani, Pitu & Zhou, Xuesong, 2015. "Solving simultaneous route guidance and traffic signal optimization problem using space-phase-time hypernetwork," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 103-130.
    13. Xiaoyue Wen & Dianhai Wang & Sheng Jin & Guomin Qian & Yixuan Zhu, 2023. "A Signal Coordination Model for Long Arterials Considering Link Traffic Flow Characteristics," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    14. Min Li & Dijia Luo & Bilong Liu & Xilong Zhang & Zhen Liu & Mengshan Li, 2022. "Arterial Coordination Control Optimization Based on AM–BAND–PBAND Model," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    15. Giulio Cantarella & Antonino Vitetta, 2006. "The multi-criteria road network design problem in an urban area," Transportation, Springer, vol. 33(6), pages 567-588, November.
    16. Li, Ming & Yu, Xinrui & Fei, Jiahao & Jin, Xiaoyong & Bai, Wei & Yao, Zhihong, 2024. "Regional traffic congestion coordination control based on critical links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 647(C).
    17. Yu, Chunhui & Ma, Wanjing & Yang, Xiaoguang, 2020. "A time-slot based signal scheme model for fixed-time control at isolated intersections," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 176-192.
    18. Yin, Yafeng, 2008. "Robust optimal traffic signal timing," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 911-924, December.
    19. Hong K. Lo, 2001. "A Cell-Based Traffic Control Formulation: Strategies and Benefits of Dynamic Timing Plans," Transportation Science, INFORMS, vol. 35(2), pages 148-164, May.
    20. Anton Agafonov & Alexander Yumaganov & Vladislav Myasnikov, 2023. "Cooperative Control for Signalized Intersections in Intelligent Connected Vehicle Environments," Mathematics, MDPI, vol. 11(6), pages 1-19, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:103:y:2017:i:c:p:409-429. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.