Research Areas

Safety

11/2/17

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.

11/21/17

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.

11/2/17

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.