Investigating the oscillation characteristics and mitigating its impact with low-penetration connected and automated vehicles

This paper studies the traffic oscillations under connected environment by connecting it with vehicles' car-following behaviors. The manual vehicles are calibrated with the intelligent driver model to reproduce the traffic oscillations by simulating heterogeneous vehicles driving on a single lane. The characteristics of traffic oscillations are then investigated with the second-order difference of cumulative data method. With the incorporation of different ratios of connected and automated vehicles (CAVs), we study its impact on traffic flow and propose several control strategies (responsive control without connection, proactive control with V2V connection, and traffic wave suppression control with V2I connection) with low-penetration CAVs. The performance of these control strategies are then compared, while the proposed control strategies can improve traffic flow operation by decreasing traffic oscillation occurrences.

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