FTSS: Techniques to Enhance Learning-based Trajectory Prediction

Techniques to Enhance Learning-based Trajectory Prediction Handong Yao, Ph.D. Friday, January 21, 2022 12:00 PM – 1:00 PM EST Microsoft Teams      The physics of shockwaves is a fundamental traffic characteristic that is useful for microscopic traffic flow modeling. Numerous classical physics-based models have utilized the physics of shockwaves to predict vehicle trajectory dynamics,…

FTSS: Physics Regularized Machine Learning for Smart Mobility

Physics Regularized Machine Learning for Smart Mobility View recorded webinar on YouTube In recent years, artificial intelligence (AI) such as machine learning (ML) techniques have been widely adopted to develop smart mobility systems. Particularly, as the foundation of smart traffic control systems, many ML-based models have been implemented to model traffic flows. However, despite those…

FTSS: Lagrangian control at large and local scales in mixed autonomy traffic flow

  Lagrangian control at large and local scales in mixed autonomy traffic flow  Friday, October 1, 2021 12:00 PM-1:00 PM EST   View recorded webinar on YouTube   This talk investigates Lagrangian (mobile) control of traffic flow at local scale (vehicular level). The question of how self-driving vehicles will change traffic flow patterns is investigated.…