Texas A&M University
Autonomous Vehicles, Trajectory Prediction, Graph convolutional network, Maximum entropy
Adaptive Cruise Control, Cyberattack, Onboard Sensor, Stochastic Behavior, mixed traffic
Connected and automated vehicles, Communication Cyberattack, Reliability Evaluation, Reliable Control, String Stability
Traffic Flow Dynamics, Macroscopic Traffic Network Model, Physically Analyzable AI, Deep Learning, Time-Delay Embedding, Sparse Identification of Nonlinear Dynamics (SINDy)
Crash Prediction Model, AI Perdition Bias, Equitable AI, Equitable And Responsible Safety Funding Allocation
distracted driving, phone use while driving, socio-demographic, XGBoost, SHAP, interpretable machine learning
Weather factors, Hourly crash data, Exposure-lag response association, Distributed lag model, Distributed lag non-linear model, Rural interstate.
