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Found 6 papers, 1 papers with code
Interactive Motion Planning for Autonomous Vehicles via Adaptive Interactive MPC
The ego vehicle solves a joint optimization problem for its motion planning involving costs and coupled constraints of both vehicles and applies its own actions.
Energy-Efficient Driving in Connected Corridors via Minimum Principle Control: Vehicle-in-the-Loop Experimental Verification in Mixed Fleets
Up to 36% fuel savings are measured with the proposed control approach over a human-modelled driver, and it was found connectivity in the automation approach improved fuel economy by up to 26% over automation without.
Automated Vehicle Highway Merging: Motion Planning via Adaptive Interactive Mixed-Integer MPC
A new motion planning framework for automated highway merging is presented in this paper.
Energy-efficient Reactive and Predictive Connected Cruise Control
Reactive and predictive controllers are proposed.
Considerate and Cooperative Model Predictive Control for Energy-Efficient Truck Platooning of Heterogeneous Fleets
Connectivity-enabled automation of distributed control systems allow for better anticipation of system disturbances and better prediction of the effects of actuator limitations on individual agents when incorporating a model.
Optimal Pacing of a Cyclist in a Time Trial Based on Individualized Models of Fatigue and Recovery
Maximal power of a cyclist serves as a time-varying constraint and depends on fatigue and recovery which are captured via dynamic models proposed early in the paper.
