59 citations · 60 across the 13 of their papers we have counts for
4 papers · 1 filter
Learning the Pareto Space of Multi-Objective Autonomous Driving: A Modular, Data-Driven Approach
Mohammad Elayan, Wissam Kontar
Balancing safety, efficiency, and interaction is fundamental to designing autonomous driving agents and to understanding autonomous vehicle (AV) behavior in real-world operation. T…
Fair and Safe: A Real-Time Hierarchical Control Framework for Intersections
Lei Shi, Yongju Kim, Xinzhi Zhong +3
Ensuring fairness in the coordination of connected and automated vehicles at intersections is essential for equitable access, social acceptance, and long-term system efficiency, ye…
Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization
Wissam Kontar, Xinzhi Zhong, Soyoung Ahn
This paper describes a framework for learning Automated Vehicles (AVs) driver models via knowledge sharing between vehicles and personalization. The innate variability in the trans…
A Prioritized Trajectory Planning Algorithm for Connected and Automated Vehicle Mandatory Lane Changes
Nachuan Li, Austen Z. Fan, Riley Fischer +2
We introduce a prioritized system-optimal algorithm for mandatory lane change (MLC) behavior of connected and automated vehicles (CAV) from a dedicated lane. Our approach applies a…