This report examines the relationship between motorcycle helmet use and motorcycle crash outcomes in terms of injury types, hospital charges, and other variables employing data from the Crash Outcome Data Evaluation System (CODES), a program facilitated by the National Highway Traffic Safety Administration.

This report describes the current efforts States are undertaking to promote motorcycle safety, drawing on a survey received from State Highway Safety Offices (SHSOs) and State motorcycle safety administrators (SMSAs) in 45 States. The results presented in this report provide a picture of recent accomplishments made by States related to motorcycle safety. The data presented is based on State-level, self-reported information.

This study aims to define the characteristics of lower-extremity injuries among motorcyclists involved in traffic crashes. The results of this study provide information on the cost of different types of lower-extremity injuries and long-term disabilities that night result from these types of injuries.

This purpose of this report is to: * Analyze fatal two-vehicle motorcycle crashes for trends and crash characteristics using FARS (Fatality Analysis Reporting System) data; and * Identify possible factors relating to the drivers/operators in these crashes.

This study explores the relationship between vehicle occupancy and several other variables in the National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS) database and a 15-passenger van's risk of rollover. A univariate analysis is used to demonstrate the effect of selected variables on single-vehicle rollover crashes. Variables used include speed, number of occupants, driver experience and avoidance maneuvers. Also, a logistic regression model is constructed using data from NHTSA's State Data System - a collection of all police reported crashes for that state. The resulting model permits jointly estimating the effect of these variables on the odds and rate of rollover occurrence, conditional on being in a single-vehicle police-reported crash.

This report aims to characterize the drivers, infrastructure, and environment associated with fatal motor vehicle traffic crashes that occur at roadway intersections in the United States. Trends of these characteristics have been presented for the eight-year period from 1997 to 2004, the latest year for which such data was available at the time of this analysis. Of particular interest are the type and condition of traffic control devices present at the intersection, potential driver and environment-related contributing factors, as well as violations that were charged to the drivers involved in the crashes.

In this annual report, Traffic Safety Facts 2009: A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System, the National Highway Traffic Safety Administration (NHTSA) presents descriptive statistics about traffic crashes of all severities, from those that result in property damage to those that result in the loss of human life.

The purpose of this document is to inform users of NHTSA's fatality Analysis Reporting System (FARS) and National Automotive Sampling System General Estimates System (NASS GES) data about some of the more significant changes to the 2010 data as a result of the standardization of the data elements between the two systems.

MMUCC s a guideline that presents a model minimum set of uniform variables or data elements for describing a motor vehicle traffic crash. The use of MMUCC data elements will generate data that can be employed to make more informed decisions which will lead to improvements in safety and at the national, State and local levels.

This five-year plan for the Evaluation Division of the Office of Regulatory Analysis and Evaluation (ORAE) in NHTSA's National Center for Statistics and Analysis presents and discusses the vehicle and behavioral programs, regulations, technologies and related areas ORAE proposes to evaluate, and it summarizes the findings of ORAE's past evaluations.

A template of pre-crash scenarios is presented to depict national crash statistics and kinematic information of time-to-collision for the design of appropriate crash countermeasures based on vehicle-to-vehicle (V2V) communications. This template serves the development of functional requirements, performance specifications, test procedures, and benefits estimation for potential light-vehicle V2V safety applications. A set of ten pre-crash scenarios is suggested as a priority list to be addressed by V2V technology for light vehicles (i.e., passenger cars, vans and minivans, sport utility vehicles, and light pickup trucks with gross vehicle weight ratings of 10,000 pounds or less). This report presents the time-to-collision equations as well as the crash statistics for each of the ten priority scenarios based on data available in the General Estimates System, National Motor Vehicle Crash Causation Survey, and Event Data Recorder databases.

This manual specifies 2006 GES data definitions and coding, including variable changes, simplifying crash data entry and analysis while also reducing costs and errors.

his interim report describes the preliminary findings of the first year of a two-year NHTSA-finded study which focused on three topics: 1) emergency exits, 2) interior and exterior emergency exit markings, and 3) emergency exit lighting.

This manual specifies 2005 GES data definitions and coding, including variable changes, simplifying crash data entry and analysis while also reducing costs and errors.

This manual specifies 2002 GES data definitions and coding, including variable changes, simplifying crash data entry and analysis while also reducing costs and errors.

This manual specifies GES data definitions and coding, simplifying crash data entry and analysis while also reducing costs and errors.

This manual specifies 2003 GES data definitions and coding, including variable changes, simplifying crash data entry and analysis while also reducing costs and errors.

This manual specifies 2004 GES data definitions and coding, including variable changes, simplifying crash data entry and analysis while also reducing costs and errors.

In this annual report, Traffic Safety Facts 2010: A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System, the National Highway Traffic Safety Administration (NHTSA) presents descriptive statistics about traffic crashes of all severities, from those that result in property damage to those that result in the loss of human life.

In this annual report, Traffic Safety Facts 2011: A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System, the National Highway Traffic Safety Administration (NHTSA) presents descriptive statistics about traffic crashes of all severities, from those that result in property damage to those that result in the loss of human life.

This report examined issues related to the ejection status of passenger vehicle occupants in fatal crashes. The tables are produced from data from the national highway Traffic Safety Administration's Fatality Analysis report Ing System (FARS) for the 5-year period from 2003 through 2007. The relationship between ejection status and the following factors are included in the report: Occupant restraint use, occupant injury severity, vehicle model year, speed limit at the location of the crash, rollover status, vehicle type, occupant age, occupant seat position, initial impact point, and number of vehicles involved in the crash.

The Fatality Analysis Reporting System (FARS) is the National Highway Traffic Safety Administration's census of motor vehicle crash fatalities in the United States and its territories. This paper seeks to explain the implementation of the re-coding process, in which previously entered cases were sampled and re-coded by select, experienced FARS analysts to check the accuracy and performance of the original analysts. The goal of the re-coding process is to enhance the quality control process to maintain accurate, complete, and timely FARS data.