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http://hdl.handle.net/10397/95999
Title: | Multiclass multilane model for freeway traffic mixed with connected automated vehicles and regular human-piloted vehicles | Authors: | Pan, T Lam, WHK Sumalee, A Zhong, R |
Issue Date: | 2021 | Source: | Transportmetrica. A, Transport science, 2021, v. 17, no. 1, p. 5-33 | Abstract: | 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 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. | Keywords: | Capacity variation Connected automated vehicle (CAV) Multiclass multilane cell transmission model Penetration rate Vehicle automation and communication system (VACS) |
Publisher: | Taylor & Francis | Journal: | Transportmetrica. A, Transport science | ISSN: | 2324-9935 | EISSN: | 2324-9943 | DOI: | 10.1080/23249935.2019.1573858 | Rights: | © 2019 Hong Kong Society for Transportation Studies Limited This is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 7 Feb 2019 (Published online), available at: http://www.tandfonline.com/10.1080/23249935.2019.1573858. |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Pan_Multiclass_Multilane_Model.pdf | Pre-Published version | 2.94 MB | Adobe PDF | View/Open |
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