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Analysis of alternative treatments for left turn bicycles at tandem intersections

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  • Zhao, Jing
  • Yan, Jiachao
  • Wang, Jiawen

Abstract

To improve the practical capacity of the tandem intersections and eliminate the conflicts between left-turn bicycles and left-turn vehicles at the main signal, four alternative designs are proposed from the aspects of time separation and spatial separation. In terms of time separation, left-turn bicycles and left-turn vehicles are separated by the two-step crossing for left-turn bicycles design and the exclusive phase for pedestrian and bicycles design. In terms of spatial separation, exclusive passing space for left-turn bicycles is provided by using partial left-turn design in the sorting area and moving the stop line backward. A linear programming model, which combining four optimization designs into one unified optimization framework, is established with the objective of maximizing the practical capacity of vehicles. A case study and extensive numerical analysis are used to validate the effectiveness and identify the application domain of these alternative designs. The results demonstrate the promising effect of the two-step crossing for left-turn bicycles design and the moving the stop line backward design in avoiding conflicts between left-turn bicycles and vehicles while improving the vehicular capacity. The two-step crossing for left-turn bicycles design can improve 10–20% vehicular capacity under almost all analysis conditions, but it increases the delay of left-turn bicycles. The benefit of the moving stop line backward design is sensitive to cycle length and the proportion of left-turn vehicles. It performs well when the cycle time exceeds 90 s, and the proportion of left-turn vehicles exceeds 30%.

Suggested Citation

  • Zhao, Jing & Yan, Jiachao & Wang, Jiawen, 2019. "Analysis of alternative treatments for left turn bicycles at tandem intersections," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 314-328.
  • Handle: RePEc:eee:transa:v:126:y:2019:i:c:p:314-328
    DOI: 10.1016/j.tra.2019.06.020
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    References listed on IDEAS

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    Cited by:

    1. Xing Gao & Jing Zhao & Meng Wang, 2020. "Modelling the saturation flow rate for continuous flow intersections based on field collected data," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.

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