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Found 4 papers, 0 papers with code
Understanding driver-pedestrian interactions to predict driver yielding: naturalistic open-source dataset collected in Minnesota
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.
RACER: Rational Artificial Intelligence Car-following-model Enhanced by Reality
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.
Detecting stealthy cyberattacks on adaptive cruise control vehicles: A machine learning approach
A novel generative adversarial network (GAN)-based anomaly detection model is proposed for real-time identification of such attacks using vehicle trajectory data.
The Effect of Population Flow on Epidemic Spread: Analysis and Control
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.
