In this report, the authors model the system of a platoon mixed with multiple connected human-driven vehicles (HDVs) and a connected and autonomous vehicle (CAV) as a set of differential difference equations (DDEs), by taking into account drivers’ heterogeneous feedback gains and reaction delays as well as the actuator (engine) delay. Then, the authors follow an approximate discretization procedure to rewrite DDEs into a sampled-data linear system with approximation error. This discretization step transforms the problem of controlling DDEs to the control of an augmented linear system without delay and simplifies the control design procedure.
This research will develop guidelines and recommendations for estimating and predicting intersection efficiency in the presence of connected and auton...
The purpose of this proposal is to develop innovative reinforcement learning control methods for lane changing of connected and autonomous vehicles (C...
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