Light Vehicle-Heavy Vehicle Interaction Data Collection and Countermeasure Research Project

Hickman, Jeffery S.; Knipling, Ronald R.; Olson, Rebecca L; Fumero, Maria C.; Blanco, Myra; Hanowski, Richard J

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Light Vehicle-Heavy Vehicle Interaction Data Collection and Countermeasure Research Project

2016-11-01
By Hickman, Jeffery S. ; Knipling, Ronald R. ; Olson, Rebecca L ; ...

File Language:

English

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Creators:

Hickman, Jeffery S. ; Knipling, Ronald R. ; Olson, Rebecca L ; Fumero, Maria C. ; Blanco, Myra ; Hanowski, Richard J
Corporate Creators:

Virginia Transportation Research Council (VTRC)
Corporate Contributors:

United States. Department of Transportation. Federal Motor Carrier Safety Administration
Subject/TRT Terms:

Audible Warning Devices In Vehicles Automatic Data Collection Systems CMV Commercial Drivers Commercial Vehicles Crashes DDWS Drivers Drowsiness Fatigue Tests FOT Safety
Publication/ Report Number:

FMCSA-RRR-11-029
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Virginia Transportation Research Council (VTRC)
Abstract:

The Light Vehicle-Heavy Vehicle Interaction (LV-HV) Data Collection and Countermeasure Research Project leveraged data from the Drowsy Driver Warning System Field Operational Test (DDWS FOT) to investigate a set of research issues relating to driver performance and crash causation, and not directly related to the safety benefits of the DDWS. The four priority issues and study topics selected for exploratory investigation and analysis included: • Analysis of HV safety events, including LV-HV vehicle interactions. • Assessment of crashes and near-crashes, and identification of countermeasures. • Identification of driving patterns and work/rest schedules. • Calculation of driver risk. The data collected in the DDWS FOT between May 2004 and May 2005 encompassed approximately 50,000 hours of naturalistic driving (ND) completed by 95 volunteer commercial driver participants. The collection of additional data from other commercial motor vehicle (CMV) drivers in different operational settings (employing a more extensive set of event analysis variables) is planned for the future.
Format:

PDF
Funding:

DTNH22-00-C-07007,TASK ORDER #21
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:b844b8179b2fd2632425e85f111796c8dd210c26e9a3d4fcae2e1d739b7a1cefd8f7b4cf594e20fde33fdc87295a215e1886ebc7ca8bc5290f19af1fac43d3f6
Download URL:

https://rosap.ntl.bts.gov/view/dot/31516/dot_31516_DS1.pdf
File Type:

[PDF - 3.76 MB ]

File Language:

English

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