6 papers
Behavioral Heterogeneity as Quantum-Inspired Representation
Mohammad Elayan, Wissam Kontar
Driver heterogeneity is often reduced to labels or discrete regimes, compressing what is inherently dynamic into static categories. We introduce quantum-inspired representation tha…
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…
Mobility Behavior Evolution During Extended Emergencies: Returners, Explorers, and the 15-Minute City
Omid Armantalab, Jason Hawkins, Wissam Kontar
Understanding human mobility during emergencies is critical for strengthening urban resilience and guiding emergency management. This study examines transitions between returners,…
Consensus-Aware AV Behavior: Trade-offs Between Safety, Interaction, and Performance in Mixed Urban Traffic
Mohammad Elayan, Wissam Kontar
Transportation systems have long been shaped by complexity and heterogeneity, driven by the interdependency of agent actions and traffic outcomes. The deployment of automated vehic…
Traffic Wave Properties for Automated Vehicles During Traffic Oscillations via Analytical Approximations
Yang Zhou, Sixu Li, Wissam Kontar +3
This paper presents an analytical approximation framework to understand the dynamics of traffic wave propagation for Automated Vehicles (AVs) during traffic oscillations. The frame…