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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Evaluation And Validation Of Distraction Detection Algorithms On Multiple Data Sources, Shashank Mehrotra
Evaluation And Validation Of Distraction Detection Algorithms On Multiple Data Sources, Shashank Mehrotra
Masters Theses
This study aims to evaluate algorithms designed to detect distracted driving. This includes the comparison of how efficiently they detect the state of distraction and likelihood of a crash. Four algorithms that utilize measures of cumulative glance, past glance behavior, and glance eccentricity were used to understand the distracted state of the driver and were validated on two separate data sources (i.e., simulator and naturalistic data). Additionally, an independent method for distraction detection was designed using data mining methods. This approach utilized measures like steering degree, lane offset, lateral and longitudinal velocity, and acceleration. The results showed a higher likelihood …
Use On Multinomial Logistic Regression In Work Zone Crash Analysis For Missouri Work Zones, Paul Robin
Use On Multinomial Logistic Regression In Work Zone Crash Analysis For Missouri Work Zones, Paul Robin
Masters Theses
"This study focuses on the use of statistical data analysis procedures in identifying factors which affect the severity of crashes in work zones. Work zones are unsafe for the traffic passing through as well as the workers. Multinomial Logistic Regression has been used to analyse Missouri work zone crash data to identify significant factors which affect the severity of crashes. This particular type of regression analysis was used due to the mixed nature of data. Multinomial regression was used to compare crashes with severity Property Damage Only against crashes with Minor Injuries and Disabling Injuries/ Fatal. The factors considered were …