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Modeling and optimization of toll lane selection for connected and automated vehicles at toll plazas

Author

Listed:
  • Kang, Qiang
  • Jing, Jun
  • Wan, Qingsong
  • Han, Yingxuan
  • Qu, Yunchao
  • Wu, Jianjun

Abstract

The paper introduces a toll lane selection model for guiding and controlling Connected and Automated Vehicles (CAV) to optimally utilize the toll lanes. The model calculates the time-based decision values for optional toll lanes and determines the target toll lane based on these values. Given the entrance flow and CAV penetration rate, a lane configuration strategy is proposed to determine the optimal lane configuration scheme. A simulation model is built to verify the control strategies. Considering the variation of the travel times in division areas, a time-dependent reduction factor is introduced to calculate the velocity after vehicles change lanes. This factor can better simulate the delay caused by the lane-changing process. The Intelligent Driver Model and Minimizing Overall Braking Induced by Lane changes model are applied to update the positions of vehicles. The simulation results show that control strategies can significantly improve traffic performance at the toll plazas.

Suggested Citation

  • Kang, Qiang & Jing, Jun & Wan, Qingsong & Han, Yingxuan & Qu, Yunchao & Wu, Jianjun, 2024. "Modeling and optimization of toll lane selection for connected and automated vehicles at toll plazas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    • Handle: RePEc:eee:phsmap:v:636:y:2024:i:c:s0378437124000736
    DOI: 10.1016/j.physa.2024.129565
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