Naturalistic Driving Studies: An Overview and International Perspective

Johnathon P. Ehsani; Joanne L. Harbluk; Jonas Bärgman; Ann Williamson; Jeffrey P. Michael; Raphael Grzebieta; Jake Olivier; Jan Eusebio; Judith L. Charlton; Sjaanie Koppel; Kristie Young; Mike Lenné; Narelle Haworth; Andry Rakotonirainy; Mohammed Elhenawy; Gregoire Larue; Teresa Senserrick; Jeremy Woolley; Mario Mongiardini; Christopher Stokes; Paul Boase; John Pearson; Feng Guo

doi:10.1016/B978-0-08-102671-7.10651-7

Naturalistic Driving Studies: An Overview and International Perspective
Book chapter, 2021

Naturalistic driving studies (NDS) are a method in transportation research that is increasingly used to bridge the gap between epidemiological research (e.g., using population crash databases) and individual level or experimental research (e.g., self-reported surveys or driving simulators). This article begins with defining NDS and providing a brief overview of NDS methods, including the strengths, limits and the unique ethical issues involved in conducting NDS. Following this, five case studies from Australia, Canada, China, the European Union, and the United States are presented, along with a synthesis of the lessons they have learned. The article concludes with a discussion of what the future of NDS may look like.

Driving

Data

Crash

Naturalistic

Risk

Exposure

Author

Johnathon P. Ehsani

Johns Hopkins University

Joanne L. Harbluk

Government of Canada

Jonas Bärgman

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety

Other publications Research

Ann Williamson

University of New South Wales (UNSW)

Jeffrey P. Michael

Johns Hopkins University

Raphael Grzebieta

University of New South Wales (UNSW)

Jake Olivier

University of New South Wales (UNSW)

Jan Eusebio

University of New South Wales (UNSW)

Judith L. Charlton

Monash University

Sjaanie Koppel

Monash University

Kristie Young

Monash University