A method for using crowd-sourced trajectories to construct control-independent fundamental diagrams at signalized links
A physics-informed deep learning paradigm for car-following models
Freeway accident detection and classification based on the multi-vehicle trajectory data and deep learning model
Learning how to dynamically route autonomous vehicles on shared roads
Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles
Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm
Pedestrian intention prediction: a convolutional bottom-up multi-task approach
Predicting time-varying, speed-varying dilemma zones using machine learning and continuous vehicle tracking
Requiem on the positive effects of commercial adaptive cruise control on motorway traffic and recommendations for future automated driving systems
Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment