59 citations · 60 across the 13 of their papers we have counts for
14 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…
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…
Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention
Xinzhi Zhong, Yang Zhou, Varshini Kamaraj +5
This paper develops a novel car-following control method to reduce voluntary driver interventions and improve traffic stability in Automated Vehicles (AVs). Through a combination o…
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…
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making
Wissam Kontar, Soyoung Ahn
This paper proposes a methodology to estimate uncertainty in automated vehicle (AV) dynamics in real time via Bayesian inference. Based on the estimated uncertainty, the method aim…
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Kontar, Naichen Shi, Xubo Yue +12
The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the future, IoFT, the cloud will be substituted by the crowd where model training is br…
Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps
Nachuan Li, Riley Fischer, Wissam Kontar +1
Vehicles on highway on-ramps are one of the leading contributors to congestion. In this paper, we propose a prediction framework that predicts the longitudinal trajectories and lan…
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…
Real-time Monitoring of Autonomous Vehicle's Time Gap Variations: A Bayesian Framework
Wissam Kontar, Soyoung Ahn
This paper proposes a novel monitoring methodology for car-following control of automated vehicles that uses real-time measurements of spacing and velocity obtained through vehicle…