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Full-Text Articles in Engineering
Generalizing The Negative Binomial-Lindley Model For Accounting Subpopulation Heterogeneity In Crash Data Analysis, A S M Mohaiminul Islam
Generalizing The Negative Binomial-Lindley Model For Accounting Subpopulation Heterogeneity In Crash Data Analysis, A S M Mohaiminul Islam
Electronic Theses and Dissertations
Crash data are often highly dispersed; it may also include a large amount of zero observations or have a long tail. The traditional Negative Binomial (NB) model cannot model these data properly. To overcome this issue, the Negative Binomial-Lindley (NB-L) model has been proposed as an alternative to the NB to analyze data with these characteristics. Research studies have shown that the NB-L model provides a superior performance compared to the NB when data include numerous zero observations or have a long tail. In addition, crash data are often collected from sites with different spatial or temporal characteristics. Therefore, it …
Statistical Analysis Of Frequency And Severity Of Lane Departure Crashes In Maine, Alainie A. Sawtelle
Statistical Analysis Of Frequency And Severity Of Lane Departure Crashes In Maine, Alainie A. Sawtelle
Electronic Theses and Dissertations
Lane departure crashes account for approximately 34% of all roadway crashes, and over 70% of all roadway fatalities in Maine. Despite an 18% decrease in average daily traffic volume during the half of the year with colder weather, the months of November to April comprise over 64% of the yearly lane departure crashes. The majority of roadways and roadway crashes in Maine are in rural regions. Moreover, Maine has aging infrastructure, houses the oldest population in the United States, has diverse terrain and land use, and experiences several extreme weather events. The combination of these factors impacts the frequency and …