Study of Car/truck Crashes in the United States PDF Download
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Author: Arthur C. Wolfe
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 94
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Book Description
Author: Arthur C. Wolfe
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 94
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Book Description
Author: S. Yaksich (Jr)
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
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Book Description
Author: Sam Yaksich
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 16
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Book Description
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309392527
Category : Transportation
Languages : en
Pages : 273
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Book Description
There are approximately 4,000 fatalities in crashes involving trucks and buses in the United States each year. Though estimates are wide-ranging, possibly 10 to 20 percent of these crashes might have involved fatigued drivers. The stresses associated with their particular jobs (irregular schedules, etc.) and the lifestyle that many truck and bus drivers lead, puts them at substantial risk for insufficient sleep and for developing short- and long-term health problems. Commercial Motor Vehicle Driver Fatigue, Long-Term Health and Highway Safety assesses the state of knowledge about the relationship of such factors as hours of driving, hours on duty, and periods of rest to the fatigue experienced by truck and bus drivers while driving and the implications for the safe operation of their vehicles. This report evaluates the relationship of these factors to drivers' health over the longer term, and identifies improvements in data and research methods that can lead to better understanding in both areas.
Author: Marc Starnes
Publisher:
ISBN:
Category :
Languages : en
Pages : 60
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Book Description
Author: United States. Bureau of Motor Carrier Safety
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 34
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Book Description
Author: Ted Chira-Chavala
Publisher:
ISBN:
Category :
Languages : en
Pages : 192
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Book Description
Author:
Publisher: DIANE Publishing
ISBN: 9781568069760
Category : Transportation
Languages : en
Pages : 60
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Book Description
Author: Arthur C. Wolfe Oliver M. Carsten
Publisher:
ISBN:
Category :
Languages : en
Pages : 90
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Book Description
Author: National Highway Traffic Safety Administration
Publisher: CreateSpace
ISBN: 9781492398738
Category : Transportation
Languages : en
Pages : 56
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Book Description
The Large-Truck Crash Causation Study (LTCCS) is a data collection project conducted by the National Highway Traffic Safety Administration (NHTSA) and the Federal Motor Carrier Safety Administration (FMCSA) of the United States Department of Transportation (USDOT). NHTSA's National Center for Statistics and Analysis (NCSA) worked together with FMCSA to develop the LTCCS, which was conducted within the National Automotive Sampling System (NASS) that NCSA operates. The tables in this report were created through the use of the data collected in the LTCCS. While the LTCCS collected data on approximately 1,000 variables, the tables presented in this report comprise only a sample of these variables. The complete LTCCS variable database can be used jointly to examine a large number of issues surrounding large-truck crashes. One section in the report focuses on “crash-level” variables, which provide counts of crashes that occurred under certain characteristics (i.e., crash counts stratified according to how many vehicles were in the crash). The next section includes tables that are presented at the “vehicle level.” These tables thus provide counts of the number of vehicles involved in certain types of crashes (i.e., vehicle counts that have been stratified by the injury severity of the person most severely injured in each vehicle). The tables in the following section are presented at the “driver level.” These tables display counts of drivers that were involved in certain crash scenarios (i.e., the number of drivers involved in the crashes, stratified by the age of the driver). The appendix includes tables and computer programs for calculating standard errors and confidence intervals using LTCCS data.
