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This paper presents a dynamic collision avoidance controller of a connected vehicle group using Model Predictive Control (MPC). The vehicles should follow a predefined reference trajectory while simultaneously avoiding collisions on this trajectory. MPC pursues the tracking of the reference trajectory in the objective function of the optimization problem. In order to avoid collisions, MPC defines...
Combining advanced driver assistance systems with V2X communications shows a high potential to increase the driving safety and reduce vehicular energy consumption. This paper presents an ECO Cruise Control (ECC) system based on economic model predictive control for reducing the energy consumption of electric vehicles using traffic information. The ECC comprises of a quadratic cost function, which...
This paper proposes a Predictive Cruise Control for a Range Extended Electric Vehicle that uses the information of upcoming traffic lights to arrive at a green or to reduce idling at a red light. Simultaneously, it is decided in a predictive manner, which is the best energy management strategy to operate the vehicle's powertrain. The main goals are to reduce fuel consumption and to increase energy...
This paper presents a novel design of a collision avoidance controller of networked vehicles using a centralized Model Predictive Control (MPC) concept. The primary objective is to avoid collisions. The secondary objective is dealing with the quality of the collision-free trajectory, which is defined in comparison to the predefined reference trajectory. The resulted optimization problem is non-convex...
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