IEEE Transactions on Control Systems Technology · 2019 · 45 citations · 25 references
EngineeringAutomotive EngineeringSystems EngineeringAutonomous VehiclesTransportationTransportation EngineeringFuel Economy OptimizationIntelligent Transportation SystemsTraffic EngineeringVehicle Communication NetworksVehicle ControlVehicle Control SystemsConnected Vehicle SystemsCruise ControlCruise Control DynamicsEnergy-efficient DrivingFuel Efficiency OptimizationV2v CommunicationVehicle-to-vehicle CommunicationVelocity
In this paper, we present a systematic approach for fuel-economy optimization of a connected automated truck that utilizes motion information from multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Position and velocity data collected from a chain of human-driven vehicles are utilized to design a connected cruise controller that smoothly responds to traffic perturbations while maximizing energy efficiency. The proposed design is evaluated using a high-fidelity truck model and the robustness of the design is validated on real traffic data sets. It is shown that optimally utilizing V2V connectivity leads to around 10% fuel economy improvements compared to the best nonconnected design.
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