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Found 5 papers, 0 papers with code
Trust-Aware Control of Automated Vehicles in Car-Following Interactions with Human Drivers
With the proposed approach, trust-aware AVs generate explicable plans by optimizing both predefined plans and explicability of the plans in the car-following interactions with the following human driver.
Distributed Stochastic Model Predictive Control for Human-Leading Heavy-Duty Truck Platoon
The proposed DSMPC design integrates the stochastic driver behavior model of the human-driven leader truck with a distributed formation control design for the following automated trucks in the platoon.
Socially Compatible Control Design of Automated Vehicle in Mixed Traffic
In the car-following scenarios, automated vehicles (AVs) usually plan motions without considering the impacts of their actions on the following human drivers.
Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning
Compared to the deterministic baseline driver behavior model, the results reveal that the proposed stochastic driver behavior model can better replicate the driver's unique and rich driving strategies in a variety of traffic conditions.
Fuel-Economical Distributed Model Predictive Control for Heavy-Duty Truck Platoon
Simulation studies are conducted to investigate the fuel economy performance of the proposed control strategy and to validate the local and string stability of the platoon under a realistic traffic scenario.
