A Cooperative Bypassing Algorithm for Connected and Autonomous Vehicles in the Mixed Traffic
(Room Palms Ballroom - Booth 100)
16 Jul 19
5:30 PM
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7:00 PM
Connected and autonomous vehicles (CAV) have the capability to acquire real-time information from each other while human-driven vehicles (HVs) are standalone in the vehicle roadway navigation system. The information asymmetry poses great challenges in managing and controlling vehicles in the mixed traffic. To address such challenge, this paper customizes the Intelligent Driver Model (IDM) to describe the car-following behavior of CAVs. Furthermore, a new lane-changing algorithm is proposed for CAV platoons to bypass a slow moving HV, avoiding the interference from HVs as much as possible in the mixed traffic environment. In addition to the common indexes of outflow and travel time to measure the travel efficiency, new parameters such as platoon intensity and single rate are defined to evaluate the CAV platooning capability. Through simulations in VISSIM, the proposed controlling framework is implemented for a two-lane freeway segment under different scenarios of CAV penetration levels and input volumes. The simulation results indicate that, at all the CAV penetration levels, the proposed controlling algorithm provides significant performance improvements to the whole mixed traffic flow, in terms of outflow, travel time and the number of CAV platoons.