Model predictive cooperative cruise control in mixed traffic

This paper presents cooperative adaptive cruising control of multiple cars in automated/un-automated mixed traffic. In order to take account of un-automated cars, the vehicle maneuver is expressed as a PrARX model that is a continuous approximation of hybrid dynamical system. The PrARX model describes the driver's logical decision making as well as continuous maneuver in a uniform manner. The acceleration inputs of automated vehicles are computed in model predictive control framework where the state equation includes a platoon of automated and un-automated cars coupled with PrARX driver models. For computing assisting outputs in real time, a fast computation method for nonlinear model predictive control based on the continuation technique is employed. Simulation studies of the proposed CACC system indicates that explicit prediction of un-automated cars improves the overall stability of the platoon.