3 papers
eess.SY2026
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…
cs.RO2026
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…
stat.AP2025
Using Drift Diffusion Model to Analyze Cars' Lane Change Decisions behind Heavy Vehicles
Nachuan Li, Hani S. Mahmassani, Soyoung Ahn +1
Heavy vehicles (HVs) pose a significant challenge to maintaining a smooth traffic flow on the freeway because they are slower moving and create large blind spots. It is therefore d…