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Arterial signal coordination with uneven double cycling

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  • 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
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    References listed on IDEAS

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    1. 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.
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    4. 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.
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