6 papers
Universal Quantum Transformer
Sungyong Chung, Alireza Talebpour
Classical continuous-space neural networks fundamentally struggle to lock into exact formal rules, whether mathematical, such as modular arithmetic and non-Abelian group algebra, o…
Evolution of Lane-Changing Behavior in Mixed Traffic: A Quantum Game Theory Approach
Sungyong Chung, Tina Radvand, Alireza Talebpour
As automated vehicles (AVs) enter mixed traffic, proactively anticipating the evolution of human driving behavior during critical interactions, such as lane changes, is essential.…
Data is All You Need: Markov Chain Car-Following (MC-CF) Model
Sungyong Chung, Yanlin Zhang, Nachuan Li +2
Car-following behavior is fundamental to traffic flow theory, yet traditional models often fail to capture the stochasticity of naturalistic driving. This paper introduces a new ca…
Can the Waymo Open Motion Dataset Support Realistic Behavioral Modeling? A Validation Study with Naturalistic Trajectories
Yanlin Zhang, Sungyong Chung, Nachuan Li +4
The Waymo Open Motion Dataset (WOMD) has become a popular resource for data-driven modeling of autonomous vehicles (AVs) behavior. However, its validity for behavioral analysis rem…
Characterizing Lane-Changing Behavior in Mixed Traffic
Sungyong Chung, Alireza Talebpour, Samer H. Hamdar
Characterizing and understanding lane-changing behavior in the presence of automated vehicles (AVs) is crucial to ensuring safety and efficiency in mixed traffic. Accordingly, this…
PAPPL: Personalized AI-Powered Progressive Learning Platform
Shayan Bafandkar, Sungyong Chung, Homa Khosravian +1
Engineering education has historically been constrained by rigid, standardized frameworks, often neglecting students' diverse learning needs and interests. While significant advanc…