Modeling Mixed Traffic Flow with Connected Autonomous Vehicles and Human-Driven Vehicles in Off-Ramp Diverging Areas

نویسندگان

چکیده

This paper focuses on modeling mixed traffic flow that comprises human-driven vehicles (HV), adaptive cruise control (ACC) vehicles, and cooperative (CACC) in the off-ramp diverging area. The car-following behaviors of HVs, ACC CACC are modeled using an intelligent driver model (IDM), model, respectively. lane-changing different types areas anticipatory lane change (ALC) mandatory (MLC) model. These models important for describing interaction among traffic. safety efficiency analyzed by integrating developed numerical simulation. A one-way, two-lane scenario is established results reveal when proportion about 0.6, general operating area deteriorate significantly. Increasing conservative MLC zone length can improve average speed flow. Guiding drivers changing lanes one way to

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ژورنال

عنوان ژورنال: Sustainability

سال: 2023

ISSN: ['2071-1050']

DOI: https://doi.org/10.3390/su15075651