Zhong, Z.; M. Nejad; J. Lee; and E. Lee II
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Cooperative Adaptive Cruise Control (CACC) which enables vehicular platoons to travel in a closely coupled formation is expected to drastically increase mobility and provide for safer and more convenient travel. However, most analyses of CACC focus on the impacts of a completely connected environment and do not analyze the impact of CAVs on a mixed-operation network. Researchers from the University of Delaware and the New Jersey Institute of Technology sought to understand the effect of CACC on human-operated vehicles (HVs) using a VISSIM model with varying CAV market penetration rates (MPR). Researchers also examined whether the results were different between ad hoc coordination, where CAVs simply cluster with other CAVs encountered on the road, and local coordination, where CAVs actively seek out other CAVs to form platoons. The simulation emulated a 5-mile-long stretch of I-66 near the Washington, DC beltway. In order to simulate human behavior, a Wiedemann model was used, which was calibrated based off of the results of an earlier study on human reactions to CAVs performed in 2016 by Leidos.
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Cornell University
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Clustering Strategies of Cooperative Adaptive Cruise Control: Impacts on Human-driven Vehicles
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