Multiclass multilane model for freeway traffic mixed with connected automated vehicles and regular human-piloted vehicles

In view of the advantages and a promising market prospect of the emerging connected automated vehicles (CAVs), it will be very likely that the roadway is shared by CAVs and regular human-piloted vehicles (RHVs) in the near future. To support traffic control design, this paper develops a multiclass multilane cell transmission model (CTM) to simulate traffic flow dynamics mixed with CAVs and RHVs by capturing the interaction between the two vehicle classes. First, headway distributions and variations in the fundamental diagram with respect to different penetration rates of CAVs are quantified. Then, the minimum headway acceptance criteria are determined for the lane changing (LC) maneuvers proposed by CAVs and RHVs with consideration on drivers’ anticipation. Finally, the cell-lane-specific multiclass flow conservation law is developed to propagate traffic flow and density considering the vehicle LC maneuvers. Numerical simulations explore the potential operational capacity increase, delay reduction, and traffic flow smoothing under several penetration scenarios.

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    • © 2019 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
  • Authors:
    • Pan, Tianlu
    • Lam, William H K
    • Sumalee, Agachai
    • Zhong, Renxin
  • Publication Date: 2021-1

Language

  • English

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  • Accession Number: 01765937
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 31 2020 3:02PM