Mohamed M Ahmed

Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models.

Mohamed M Ahmed, Rebecca Franke, Khaled Ksaibati, 2018, Accident; analysis and prevention.

Practical advantage of crossed random intercepts under Bayesian hierarchical modeling to tackle unobserved heterogeneity in clustering critical versus non-critical crashes.

Mohamed M Ahmed, Arash Khoda Bakhshi, Mohamed M. Ahmed, 2020, Accident; analysis and prevention.

Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques.

Mohamed M Ahmed, Anik Das, Md Nasim Khan, 2020, Accident; analysis and prevention.

Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach.

Mohamed M Ahmed, Ali Ghasemzadeh, Anik Das, 2019, Accident; analysis and prevention.

Analyzing the effect of fog weather conditions on driver lane-keeping performance using the SHRP2 naturalistic driving study data.

Mohamed M Ahmed, Ali Ghasemzadeh, Anik Das, 2019, Journal of safety research.

Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data.

Mohamed M Ahmed, Md Nasim Khan, Mohamed M. Ahmed, 2020, Accident; analysis and prevention.

Real-time assessment of fog-related crashes using airport weather data: a feasibility analysis.

Mohamed M Ahmed, Mohamed Abdel-Aty, Jaeyoung Lee, 2014, Accident; analysis and prevention.