The Viability of Using Automatic Vehicle Identification Data for Real-Time Crash Prediction. - Mohamed M. Ahmed; Mohamed A. Abdel-Aty (IEEE Trans. Intell. Transp. Syst., 2012)

Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management. - Rongjie Yu; Mohamed A. Abdel-Aty; Mohamed M. Ahmed; Xuesong Wang 006 (IEEE Trans. Intell. Transp. Syst., 2014)

A Framework to Enhance the Transferability of the SHRP2 Naturalistic Driving Study by Considering Heterogeneity of Driver Behavior Using Spatial-Temporal Factors in a Trajectory Level. - Ali Ghasemzadeh; Mohamed M. Ahmed (ITSC, 2018)

Radar-Vision Algorithms to Process the Trajectory-Level Driving Data in the SHRP2 Naturalistic Driving Study. - Britton Hammit; Rachel James; Mohamed Ahmed 003 (ITSC, 2018)

A Case for Online Traffic Simulation: Systematic Procedure to Calibrate Car-Following Models Using Vehicle Data. - Britton Hammit; Rachel James; Mohamed Ahmed 003 (ITSC, 2018)

Exploring the Use of Driver Attributes to Characterize Heterogeneity in Naturalistic Driving Behavior. - Rachel James; Britton Hammit; Mohamed Ahmed 003 (ITSC, 2018)

Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features. - Md Nasim Khan; Anik Das; Mohamed M. Ahmed; Shaun S. Wulff (J. Intell. Transp. Syst., 2021)

Evaluating connected vehicle-based weather responsive management strategies using weather-sensitive microscopic simulation. - Qinhua Jiang; Dong Nian; Yi Guo; Mohamed Ahmed 003; Guangchuan Yang; Jiaqi Ma 003 (J. Intell. Transp. Syst., 2023)