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Notice

This document is disseminated under the sponsorship of the Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its contents or use thereof.

This report does not constitute a standard, specification, or regulation.

The United States Government does not endorse products or manufacturers. Trade or manufacturers' names appear herein only because they are considered essential to the object of this document. Technical Report Documentation Page (Form 1700.7)

1. Report No.

FMCSA-RRR-06-004

 

2. Government Accession No.

3. Recipient's Catalog No.

4. Title and Subtitle

5. Report Date

March 2006

6. Performing Organization Code

7. Authors

Hanowski, R. J., Olson, R. L., Hickman, J. S., Dingus, T. A.

8. Performing Organization Report No.

9. Performing Organization Name and Address

Virginia Tech Transportation Institute

3500 Transportation Research Plaza (0536)

Blacksburg , Virginia 24061

10. Work Unit No. (TRAIS)

11. Contract or Grant No.

DTNH22-00-C-07007

12. Sponsoring Agency Name and Address

National Highway Traffic Safety Admin. (NHTSA)

NPO-113, Room 6220

Office of Advanced Safety Research

1200 New Jersey Avenue SE

Washington , DC 20590

13. Type of Report and Period Covered

Final Report

August 2001 to July 2005

14. Sponsoring Agency Code

NHTSA NPO-113

15. Supplementary Notes

Robert J. Carroll was the FMCSA COTR for this project.

16. Abstract

There have been several studies that have investigated interactions between light and heavy vehicles. These have primarily consisted of crash database analyses where Police Accident Reports have been studied. These approaches are generally reliable, but they do have limitations. Hanowski, Keisler, and Wierwille (2004) addressed these limitations using a naturalistic approach to investigate light vehicle-heavy vehicle (LV-HV) interactions. In their study, HVs were instrumented with a variety of data collection equipment including video cameras. However, one of the limitations in their study was the lack on instrumentation in LVs.

 

These limitations were addressed in the 100-Car Study by installing video cameras and other data collection equipment on LVs (Dingus et al., 2004). All identified LV-HV interactions from the 100-Car data set were included in the current report. Data analysts reviewed each LV-HV interaction event and coded the Incident Type, Primary Maneuver, Contributing Factor(s), Accident Type, and Critical Reason(s). This project's primary goals were to: (1) gain a better understanding of LV-HV interactions, (2) continue to develop a classification scheme for LV-HV interactions, (3) compare the current data to the data obtained in the Hanowski, Keisler, and Wierwille (2004) study for a more complete picture of the LV-HV interaction problem, and (4) provide background information that would serve as a necessary prerequisite to the development of countermeasures for LV-HV interactions.

 

17. Key Words

100-Car, Contributing Factor, Critical Incident, Critical Reason, Distraction, Driver Behavior, Interaction, Light Vehicle-Heavy Vehicle, Naturalistic

18. Distribution Statement

This document is available to the public through the National Technical Information Service, Springfield, VA 22161

19. Security Classif.
(of this report)

Unclassified

20. Security Classif. (of this page)

Unclassified

21. No. of Pages

184

 

22. Price

 


 
 
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