(October 23) Blending AI/ML with Traditional Data Science: The Case of Highway Safety Research
Program Overview
Driver Behavior, Human Factors and Safety Analytics (DHS) is an encompassing program for CUTR’s safety research enterprise. DHS covers research relating to human/machine interactions that influence all aspects of transportation safety. Considering aspects such as impaired driving, aggressive driving, temporally shifting driver behavior, risk assessment and compensating behaviors, factors that affect the safety of vulnerable road users, the interaction of human drivers with connected and autonomous vehicles, and various aspects of transit and rail safety, the DHS program addresses a wide range of important contemporary transportation safety issues. Using traditional sources of data (crash and accident data) and emerging data sources (video analytics, sensor-generated data) the program has the capacity to apply an extensive portfolio of analytic methods including a variety of statistical and econometric methods, as well as the latest Artificial Intelligence and Machine Learning methods. DHS seeks to extend broadly across the University of South Florida’s colleges and departments, leveraging the extensive capabilities of a university that is among North America’s elite research institutions in the Association of American Universities.
