Intersection Traffic Signal Optimization Considering Lane-Changing Behavior Caused Nearby Bus Bay Stop Upstream

  • Rui LiEmail author
  • Xin Xue
  • Linchao Li
  • Changjiang Zheng
  • Jinxing Shen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)


Transit-oriented traveling mode is recognized as one of the most effective strategies for improving traveling service level and decreasing travel times, stops and delay. However, the transit system will also bring some new bottlenecks. The influence caused by bus bay stop upstream should be considered for traffic signal optimization. This paper proposes a traffic signal optimization model for intersection and bus bay stop upstream unit, which targets for minimizing traveling time and considering the effects caused by bus bay stop upstream. First, the equivalent volume method is addressed for quantified the influences generating by transits’ lane-changing. Then, the influences are taken into account when solving the traffic signal optimization algorithm. Finally, the proposed optimization model is evaluated using a VISSIM model calibrated with field traffic volume and traffic signal data of the intersection of Qingliangmen Boulevard and Nenjiang Road in Nanjing, China. The evaluation results illustrate that analytical and simulation calculation results have similar performance in reducing traveling delay. Therefore, the proposed traffic signal optimization method performs well at the intersection with bus bay stops upstream.


Transport engineering Intersection signal optimization Near-side bus bay stop Transits’ lane-changing behavior 



This research was supported by the Natural Science Foundation of Jiangsu Province (Grant No. BK20181307), Postdoctoral Science Foundation of China (Grant No. 2018M630505) and National Natural Science Foundation of China (Grant No. 51508161).

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Rui Li
    • 1
    • 2
    Email author
  • Xin Xue
    • 1
    • 2
  • Linchao Li
    • 3
  • Changjiang Zheng
    • 1
    • 2
  • Jinxing Shen
    • 1
    • 2
  1. 1.College of Civil and Transportation EngineeringHohai UniversityNanjingChina
  2. 2.Jiangsu Province Research Center for Traffic and Infrastructure Engineering TechnologyNanjingChina
  3. 3.School of TransportationSoutheast UniversityNanjingChina

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