A Unique Approach for Data Analysis of Naturalistic Driver Behavior Virginia Tech Transportation Institute

Format:

Conference/Event

Author/Creator:

Olsen, Erik C. B., author.

Conference Name:

Future Transportation Technology Conference and Exposition (2001-08-20 : Costa Mesa, California, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2001

Summary:

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)

Notes:

Vendor supplied data

Publisher Number:

2001-01-2518

Access Restriction:

Restricted for use by site license