Short-Term Traffic Speed Prediction for Freeways During Hurricane Evacuation: A Deep Learning Approach. - Rezaur Rahman; Samiul Hasan (ITSC, 2018)

Understanding Network Wide Hurricane Evacuation Traffic Pattern from Large-scale Traffic Detector Data. - Rezaur Rahman; Kamol Chandra Roy; Samiul Hasan (ITSC, 2021)

Real-time signal queue length prediction using long short-term memory neural network. - Rezaur Rahman; Samiul Hasan (Neural Comput. Appl., 2021)

Traffic Volume Prediction with Automated Signal Performance Measures (ATSPM) Data. - Leah Kazenmayer; Gabriela Ford; Jiechao Zhang; Rezaur Rahman; Furkan Cimen; Damla Turgut; Samiul Hasan (ISCC, 2022)

Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using a Graph Convolutional Neural Network. - Rezaur Rahman; Samiul Hasan (CoRR, 2022)

A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation. - Rezaur Rahman; Samiul Hasan (CoRR, 2022)

Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach. - Md Mobasshir Rashid; Rezaur Rahman; Samiul Hasan (CoRR, 2023)