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 Transportation Research Institute (UMTRI) (Research Institute, USA)

Start date 01/03/2017

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

Project members
Funding

Selpi Selpi

Selpi is employed at the Division of Vehicle Safety at the Department of Mechanics and Maritime Sciences. She is also an affiliated teacher at the Division of Data Science and AI at the Department of...
Pinar Boyraz Baykas

Associate Professor

Pinar Boyraz-Baykas is an Associate Professor in Vehicle Safety Division of Mechanics and Maritime Sciences Department at Chalmers. Her research field broadly includes applications of mathematical...
Jordanka Kovaceva

Project leader research

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

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)

Published: Wed 26 Feb 2020.