Automated-vehicle traffic wave speed is shown to be time- and position-dependent, determined by the AV control transfer function's gain and phase under oscillatory disturbances.
Significance of Low-level Controller for String Stability under Adaptive Cruise Control
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abstract
Current commercial adaptive cruise control (ACC) systems consist of an upper-level planner controller that decides the optimal trajectory that should be followed, and a low-level controller in charge of sending the gas/brake signals to the mechanical system to actually move the vehicle. We find that the low-level controller has a significant impact on the string stability (SS) even if the planner is string stable: (i) a slow controller deteriorates the SS, (ii) slow controllers are common as they arise from insufficient control gains, from a "weak" gas/brake system or both, and (iii) the integral term in a slow controller causes undesired overshooting which affects the SS. Accordingly, we suggest tuning up the proportional/feedforward gain and ensuring the gas/brake is not "weak". The study results are validated both numerically and empirically with data from commercial cars.
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Traffic Wave Properties for Automated Vehicles During Traffic Oscillations via Analytical Approximations
Automated-vehicle traffic wave speed is shown to be time- and position-dependent, determined by the AV control transfer function's gain and phase under oscillatory disturbances.