no code implementations • 22 Dec 2023 • Tianyi Li, Joshua Klavins, Te Xu, Niaz Mahmud Zafri, Raphael Stern
Our analysis indicates that vehicle speed, the presence of parking lots, proximity to parks or schools, and the width of major road crossings significantly influence driver yielding at unsignalized intersections.
no code implementations • 12 Dec 2023 • Tianyi Li, Alexander Halatsis, Raphael Stern
This paper introduces RACER, the Rational Artificial Intelligence Car-following model Enhanced by Reality, a cutting-edge deep learning car-following model, that satisfies partial derivative constraints, designed to predict Adaptive Cruise Control (ACC) driving behavior while staying theoretically feasible.
no code implementations • 26 Oct 2023 • Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern
A novel generative adversarial network (GAN)-based anomaly detection model is proposed for real-time identification of such attacks using vehicle trajectory data.
no code implementations • 15 Apr 2021 • Brooks Butler, Ciyuan Zhang, Ian Walter, Nishant Nair, Raphael Stern, Philip E. Paré
We show that the set of healthy states is asymptotically stable, and that the value of the equilibria becomes equal across all sub-populations as a result of the network flow model.