Descriptive and conceptual structure of naturalistic driving study research: A computational literature review

Naturalistic driving studies (NDS) are an emerging method of collecting driving data from drivers in instrumented vehicles undertaking everyday trips without experimental control. A computational literature review was performed to assess the NDS research domain that aimed to quantitatively describe the extent and structure of existing applications of NDS data. A corpus of 1120 documents was analyzed using the methods of scientometrics and text mining to identify prominent contributors and topics. NDS research saw particular prominence in the US and China, however, international collaboration was limited compared to other disciplines. Network mapping of documents and words showed a high degree of overlap in the data sources, types, and analysis methodologies across NDS research. In the context of a safe system approach to road safety, driver-centered behaviors and characteristics such as distraction, risk, and older age were most relevant in terms of number and occurrence, in contrast to relatively underrepresented aspects of road infrastructure and vehicles.

• Record URL:
  • https://doi.org/10.1016/j.trip.2024.101205
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S259019822400191X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/25901982
• Supplemental Notes:
  • © 2024 The Author(s). Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Howell, Fletcher J
  • 0000-0003-3675-5432
  • Koppel, Sjaan
  • Logan, David B
• Publication Date: 2024-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 101205
• Serial:
  • Transportation Research Interdisciplinary Perspectives
  • Volume: 27
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2590-1982
  • Serial URL: https://www.journals.elsevier.com/transportation-research-interdisciplinary-perspectives
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Data analysis; Driver performance; Highway safety
• Geographic Terms: China; United States
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01932782
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 4 2024 1:51PM