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A safety analysis of a specific location includes a "base crash rate" analysis for identifying crash patterns at the study location. If the calculated crash rate for any crash type at a particular location is found to be higher than the "base crash rate", then that location is chosen for further study to determine if a safety problem actually exists at that location and, if so, what counter measure(s) can be used. The primary objective of this study was to develop a set of mathematical models to estimate base crash rates for freeways in Ohio. The models estimate the incremental changes in the dependent variables (crash rate for different types of crashes)resulting from changes in the independent variables including geometric features, operational controls, and environmental conditions. The base crash density/rate models were developed for the following crash types: (a)Injury crashes, (b) PDO crashes, (c) Total crashes, (d) Angle crashes, (e) Fixed crashes, (f) Rear end crashes, (g) Sideswipe crashes, (h) Wet road crashes, and (i) Night crashes. To evaluate the complex interaction among the dependent and independent variables, Automatic Interaction Detection (AID) technique was used. After the completion of AID analysis, stepwise multiple regression technique was used to develop mathematical models for the split groups. Finally, the models were validated with the one-third data that was set aside for validation. This study developed state-wide and district-wide base crash density and rate models for freeways. These models are recommended for use by ODOT for evaluating freeway crashes. The results of this study have a high potential of implementation in Ohio.
From a public health perspective, motor vehicle crashes are among the most serious problems facing teenagers. Even after more than six months of being licensed to drive alone, teens are two to three times more likely to be in a fatal crash than are the more experienced drivers. Crash rates are significantly higher for male drivers, and young people in the United States are at greater risk of dying or being injured in an automobile than their peers around the world. In fact, in 2003 motor vehicle crashes was the leading cause of death for youth ages 16-20 in the United States. Understanding how and why teen motor vehicle crashes happen is key to developing countermeasures to reduce their number. Applying this understanding to the development of prevention strategies holds significant promise for improving safety but many of these efforts are thwarted by a lack of evidence as to which prevention strategies are most effective. Preventing Teen Motor Crashes presents data from a multidisciplinary group that shared information on emerging technology for studying, monitoring, and controlling driving behavior. The book provides an overview of the factual information that was presented, as well as the insights that emerged about the role researchers can play in reducing and preventing teen motor crashes.
This document presents a synthesis of current information and operating practices related to roadside safety and is developed in metric units. The roadside is defined as that area beyond the traveled way (driving lanes) and the shoulder (if any) of the roadway itself. The focus of this guide is on safety treatments that minimize the likelihood of serious injuries when a driver runs off the road. This guide replaces the 1989 AASHTO "Roadside Design Guide."
One of a 5-volume set, each covering a broad subject, which cumulates annually all citations that appeared during the year in: Highway safety literature.