Research Areas

Safety

1/12/18
Designing a transportation data-warehouse prototype for the Buffalo-Niagara region and demonstrating its usefulness through a specific application.
11/2/17
Analyzing traffic violations and traffic crash records to develop a probabilistic model that will help detect high risk drivers with the main goal of preventing future crashes.
11/27/17
Invistigating aggressive driving behavior under driver fatigue, and under normal and distracted driving conditions.
11/10/17
Examining in-vehicle and infrastructure-based technologies to assess how they might impact emergency responders, particularly EMS.
11/2/17
Exploring historical incident and traffic data to revolutionize response strategies.
12/4/17
Creating a mobile computer application for documenting and sharing data regarding vehicular accidents.
11/2/17
Exploring the potential for using a number of machine learning and data mining methods to analyze accident data.
11/17/17
The project investigates how real-time conditions interact to affect driver safety performance changes. From that understanding, practitioners and drivers can make more informed decisions to reduce the likelihood of a crash.