Motor Vehicle Crash Fatalities, March 11, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, March 11, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, March 18, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, March 25, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, April 1, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, April 15, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, April 8, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, April 22, 2011

Motor Vehicle Crash Fatalities

Motor Vehicle Crash Fatalities, April 29, 2011

Motor Vehicle Crash Fatalities

Spatial Scale of Clustering of Motor Vehicle Crash Types and Appropriate Countermeasures, 2009

This project analyzes the characteristics and spatial distributions of motor vehicle crash types in order to evaluate the degree and scale of their spatial clustering. Crashes occur as the result of a variety of vehicle, roadway, and human factors and thus vary in their clustering behavior. Clustering can occur at a variety of scales, from the intersection level, to the corridor level, to the area level. Conversely, other crash types are less linked to geographic factors and are more spatially “random.” The degree and scale of clustering have implications for the use of strategies to promote transportation safety. In this project, Iowa's crash database, geographic information systems, and recent advances in spatial statistics methodologies and software tools were used to analyze the degree and spatial scale of clustering for several crash types within the counties of the Iowa Northland Regional Council of Governments. A statistical measure called the K function was used to analyze the clustering behavior of crashes. Several methodological issues, related to the application of this spatial statistical technique in the context of motor vehicle crashes on a road network, were identified and addressed. These methods facilitated the identification of crash clusters at appropriate scales of analysis for each crash type. This clustering information is useful for improving transportation safety through focused countermeasures directly linked to crash causes and the spatial extent of identified problem locations, as well as through the identification of less location-based crash types better suited to non-spatial countermeasures. The results of the K function analysis point to the usefulness of the procedure in identifying the degree and scale at which crashes cluster, or do not cluster, relative to each other. Moreover, for many individual crash types, different patterns and processes and potentially different countermeasures appeared at different scales of analysis. This finding highlights the importance of scale considerations in problem identification and countermeasure formulation.

Environmental assessment of low speed policies for motor vehicle mobility in city centres

streets in local residential areas in large cities, real traffic tests for pollutant emissions and fuel consumption have been carried out in Madrid city centre. Emission concentration and car activity were simultaneously measured by a Portable Emissions Measurement System. Real life tests carried out at different times and on different days were performed with a turbo-diesel engine light vehicle equipped with an oxidizer catalyst and using different driving styles with a previously trained driver. The results show that by reducing the speed limit from 50 km h-1 to 30 km h-1, using a normal driving style, the time taken for a given trip does not increase, but fuel consumption and NOx, CO and PM emissions are clearly reduced. Therefore, the main conclusion of this work is that reducing the speed limit in some narrow streets in residential and commercial areas or in a city not only increases pedestrian safety, but also contributes to reducing the environmental impact of motor vehicles and reducing fuel consumption. In addition, there is also a reduction in the greenhouse gas emissions resulting from the combustion of the fuel.

Using linked data to evaluate severity and outcome of injury by type of object struck (first object struck only) for motor vehicle crashes in Connecticut.

Federal Highway Administration, Washington, D.C.

An evaluation of head restraints - Federal Motor Vehicle Safety Standard 202.

Mode of access: Internet.

Index of the relative importance of fuel efficiency (IFE) in the motor vehicle market. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Procedures for monitoring the importation of motor vehicles and motor vehicle equipment : as provided in Title 19-Code of Federal Regulations 12.80.

DOT HS 803 546