83 citations · 277 across the 12 of their papers we have counts for
3 papers · 1 filter
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
Sai Krishna Sumanth Nakka, Behdad Chalaki, Andreas Malikopoulos
The steady increase in the number of vehicles operating on the highways continues to exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions. Emerging mo…
A Digital Smart City for Emerging Mobility Systems
Raymond M. Zayas, Logan E. Beaver, Behdad Chalaki +2
The increasing demand for emerging mobility systems with connected and automated vehicles has imposed the necessity for quality testing environments to support their development. I…
Robust Learning-Based Trajectory Planning for Emerging Mobility Systems
Behdad Chalaki, Andreas A. Malikopoulos
In this paper, we extend a framework that we developed earlier for coordination of connected and automated vehicles (CAVs) at a signal-free intersection to incorporate uncertainty.…