Heavy truck pre-crash scenarios for safety applications based on vehicle-to-vehicle communications

Toma, Samuel; Swanson, Elizabeth D.; Smith, John D; Najm, Wassim G; John A. Volpe National Transportation Systems Center (U.S.)

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Heavy truck pre-crash scenarios for safety applications based on vehicle-to-vehicle communications

2014-06-01
By Toma, Samuel ; Swanson, Elizabeth D. ; Smith, John D ; ...

[PDF-1.29 MB]

English

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Details:

Creators:

Toma, Samuel ; Swanson, Elizabeth D. ; Smith, John D ; Najm, Wassim G

Toma, Samuel ; Swanson, Elizabeth D. ; Smith, John D ; Najm, Wassim G Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Department of Transportation. National Highway Traffic Safety Administration
Subject/TRT Terms:

[+]

Collisions Costs Crash Causes Crash Contributing Factors General Estimates System Heavy Duty Trucks Intelligent Transportation Systems Large Truck Crash Causation Survey Police Reports Pre-crash Scenarios Vehicle-to-vehicle Safety Applications Vehicle To Infrastructure Communications Vehicle To Vehicle Communications
Publication/ Report Number:

DOT-VNTSC-NHTSA-11-14 ; DOT HS 812 023

DOT-VNTSC-NHTSA-11-14 ; DOT HS 812 023 Less -
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. National Highway Traffic Safety Administration
Abstract:

This report describes pre-crash scenarios involving at least one heavy truck (gross vehicle weight rating greater than 10,000 pounds), which might be addressed with crash-imminent warning systems based on short range vehicle-to-vehicle (V2V) communications. The analysis focuses on 17 target pre-crash scenarios that are statistically described using the 2004-2008 General Estimates System (GES) crash databases and the Large-Truck Crash Causation Study (LTCCS) database. GES data is queried to quantify the societal cost and describe the driving environment, driver characteristics, and crash contributing factors of target pre-crash scenarios. LTCCS data is analyzed to portray crash causal factors. Approximately 233,000 annual police-reported crashes involving at least one heavy truck were associated with the 17 target pre-crash scenarios. These police-reported crashes contributed to about 21 billion dollars in comprehensive economic costs based on 2007 economics and 153,000 functional years lost annually. Heavy-truck drivers of interest accounted for about 57 percent of all drivers involved in these crashes.
Format:

PDF
Funding:

DTNH22-10-V-00043 ; Inter-Agency Agreement HS-60A2

DTNH22-10-V-00043 ; Inter-Agency Agreement HS-60A2 Less -
Collection(s):

Volpe Center
Main Document Checksum:

[+]

urn:sha256:2e2b21377ba11aba05777133a627d8d0ad3575045a394a9ab0892d0d0d88b992
Download URL:

https://rosap.ntl.bts.gov/view/dot/12067/dot_12067_DS1.pdf
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No Additional Files

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Heavy truck pre-crash scenarios for safety applications based on vehicle-to-vehicle communications

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