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Found 5 papers, 1 papers with code
Performance-Sensitive Potential Functions for Efficient Flow of Connected and Automated Vehicles
In our approach, the parameters of a potential function are determined through an optimization problem aiming to reduce both acceleration and inter-vehicle distances.
An Approach for Optimizing Acceleration in Connected and Automated Vehicles
Thus, our goal in this paper is to identify the optimal value of this gain in terms of acceleration for any group of initial conditions.
An Analytical Study of a Two-Sided Mobility Game
In this paper, we consider a mobility system of travelers and providers, and propose a "mobility game" to study when a traveler is matched to a provider.
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
The steady increase in the number of vehicles operating on the highways continues to exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions.
Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles
We then directly transfer this policy without any tuning to the University of Delaware Scaled Smart City (UDSSC), a 1:25 scale testbed for connected and automated vehicles.
