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 Charlton, Sjaanie Koppel, Kristie Young, Mike Lenné, Narelle Haworth, Andry Rakotonirainy, Mohammed Elhenawy, Gregoire Larue, Teresa Senserrick, Jeremy Woolley, Mario Mongiardini, Christopher StokesPaul Boase, John Pearson, Feng Guo

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish (US)
Title of host publicationInternational Encyclopedia of Transportation
Subtitle of host publicationVolume 1-7
PublisherElsevier
Pages20-38
Number of pages19
Volume7
ISBN (Electronic)9780081026724
ISBN (Print)9780081026717
DOIs
StatePublished - Jan 1 2021

Keywords

  • Crash
  • Data
  • Driving
  • Exposure
  • Naturalistic
  • Risk

ASJC Scopus subject areas

  • General Social Sciences

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