4 papers
Quantum-Inspired Modeling of Driving Behavior
Mohammad Elayan, Omid Armantalab, Wissam Kontar
Driver behavior is heterogeneous, context-dependent, and changes over time, and these properties shape the traffic phenomena we observe. Most models, however, fix in advance which…
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…
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…