A Unique Approach for Data Analysis of Naturalistic Driver Behavior

This paper describes an effort to gather lane-changing and passing driver behavior data using naturalistic observation methods. Participants were ordinary commuters who drove instrumented vehicles to and from work while data were automatically collected. The three types of data included driver, vehicle response, and vehicle interaction data via collected video, vehicle sensor, and radar systems. These data were combined using a data integration system to understand lane-change and passing maneuvers. Developed specifically for this project, this system allows analysts to understand and characterize lane-changing and passing maneuvers by presenting the three types of data in an intuitive, integrated manner. The integrated data will facilitate understanding of driver behavior. This understanding will assist designers in the development of future crash reduction countermeasures including Crash Avoidance Systems (CAS).

• Record URL:
  • https://doi.org/10.4271/2001-01-2518
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Olsen, Erik C
  • Wierwille, Walter W
• Publication Date: 1998-2-23

Language

• English

Media Info

• Media Type: Web
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Behavior; Crash avoidance systems; Drivers; Radar
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01798655
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2001-01-2518
• Files: TRIS, SAE
• Created Date: Dec 9 2021 10:19AM