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Dynamic Control Method for CAV-Shared Lanes at Intersections in Mixed Traffic Flow

Author

Listed:
  • Xiyuan Hu

    (China Academy of Transportation Sciences, Beijing 100019, China)

  • Mengying Li

    (School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Xiancai Jiang

    (School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China)

Abstract

The existing signal control methods for mixed traffic related to connected automated vehicles (CAVs) and connected human-driven vehicles (CHVs) at intersections fail to tap the traffic potential of CAV-dedicated lanes. Accordingly, a dynamic allocation method of CAV-shared lanes is proposed, and the method of traffic flow scheduling and CAV trajectory optimization for multilane intersections with CAV-shared lanes is constructed to improve the traffic performance. The simulation results show that the optimization strategy proposed in this study can reduce the average delay at the intersection to varying degrees compared with the control strategy, using (a) the dynamic CAV-dedicated lane allocation method and (b) the shared-phase dedicated-lane method. Although the stops of CAVs will increase, the time utilization rate of most approach lanes is considerably improved, particularly CAV-shared lanes that can effectively improve the intersection performance. Further analysis shows that the number of CAV-shared lanes is closely dependent on the CAV penetration rate. The method proposed in this study is suitable for multilane intersections with a high CAV penetration rate.

Suggested Citation

  • Xiyuan Hu & Mengying Li & Xiancai Jiang, 2024. "Dynamic Control Method for CAV-Shared Lanes at Intersections in Mixed Traffic Flow," Sustainability, MDPI, vol. 16(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9706-:d:1516196
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    References listed on IDEAS

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