Projects

Analysis of SHRP2 Data to Understand Normal and Abnormal Driving Behavior in Work Zones: Phase II

The goal of this research is to use statistical descriptions of normal driving behavior to identify abnormal behavior (i.e., deviations from normal) as the basis for countermeasures.

Partner organizations

University of Michigan (Academic, USA)

Start date 01/03/2017

End date The project is closed: 31/05/2019

Project members
Funding

Selpi Selpi

Researcher, Data Science and AI division, Department of Computer Science and Engineering
Jordanka Kovaceva

Project leader research at Mechanics and Maritime Sciences, Division of Vehicle Safety

Jordanka Kovaceva is a researcher in the Division of Vehicle Safety since 2015. She has over 9 years’ experience working on naturalistic driving data using the largest naturalistic datasets in EU and...
Robert Thomson

Professor at Mechanics and Maritime Sciences, Division of Vehicle Safety

My research in road safety began in 1988 when I began post graduate studies with the UBC Accident Research Team in Vancouver, B.C., Canada. Since then I have worked in almost all areas of road and...

Funded by

Federal Highway Administration (FHWA) (Public, USA)

Page manager Published: Fri 14 Aug 2020.