Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation

Autonomous and Human-Driven Vehicles Interacting in a Roundabout: A Quantitative and Qualitative Evaluation

Optimizing traffic dynamics in an evolving transportation landscape is crucial, particularly in scenarios where autonomous vehicles (AVs) with varying levels of autonomy coexist with human-driven cars. While optimizing Reinforcement Learning (RL) policies for such scenarios is becoming more and more...

Full description

Bibliographic Details
Main Authors: Laura Ferrarotti, Massimiliano Luca, Gabriele Santin, Giorgio Previati, Gianpiero Mastinu, Massimiliano Gobbi, Elena Campi, Lorenzo Uccello, Antonino Albanese, Praveen Zalaya, Alessandro Roccasalva, Bruno Lepri
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Transportation
autonomous vehicles
urban mobility
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10445226/

Internet

https://ieeexplore.ieee.org/document/10445226/

Similar Items