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Full-Text Articles in Automotive Engineering

A Simplified Method For Analyzing Factors Contributing To Motorcyclists’ Fatal Injuries In Ohio, Deogratias Eustace, Vamsi Krishna Indupuru Jun 2015

A Simplified Method For Analyzing Factors Contributing To Motorcyclists’ Fatal Injuries In Ohio, Deogratias Eustace, Vamsi Krishna Indupuru

Deogratias Eustace

The aim of this paper was to analyze traffic crash data by using a simplified method in determining significant factors that increase the risk of a motorcyclist being fatally injured once involved in a motorcycle crash in Ohio. The concept of overrepresentation, which is similar to relative risk, was used in identifying significant variables associated with the elevated risk of a motorcycle crash resulting into a fatality. The overrepresentation factor (ORF) was calculated for each variable of interest. The ORF offers a simple but powerful procedure of determining whether a certain factor significantly occurs more or less frequently in one …


Crash Frequency Analysis Of Left-Side Merging And Diverging Areas On Urban Freeway Segments: A Case Study Of I-75 Through Downtown Dayton, Ohio, Deogratias Eustace, Aline Aylo, Worku Y. Mergia Jan 2015

Crash Frequency Analysis Of Left-Side Merging And Diverging Areas On Urban Freeway Segments: A Case Study Of I-75 Through Downtown Dayton, Ohio, Deogratias Eustace, Aline Aylo, Worku Y. Mergia

Civil and Environmental Engineering and Engineering Mechanics Faculty Publications

This paper analyzes the effect of left- and right-side merging and diverging areas and other variables such as light condition, roadway pavement condition, drivers’ age and presence of construction work zones on the occurrence frequency of crashes. A 6.5-mile (10.5-km) section of I-75 that passes through downtown Dayton, Ohio was considered. The area of interest has a high traffic volume and consists of different geometric design challenges including closely spaced merging and diverging ramps. A four-year record of crash data (2005–2008) and a statistical modeling technique that assumes a negative binomial distribution on generalized linear models (GLMs) were used to …