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Civil Engineering

University of Central Florida

Theses/Dissertations

Crash severity

Publication Year

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Level-Of-Service And Traffic Safety Relationship: An Exploratory Analysis Of Signalized Intersections And Multiland High-Speed Arterial Corridors, Ana Almonte-Valdivia Jan 2009

Level-Of-Service And Traffic Safety Relationship: An Exploratory Analysis Of Signalized Intersections And Multiland High-Speed Arterial Corridors, Ana Almonte-Valdivia

Electronic Theses and Dissertations

Since its inception in 1965, the Level-of-Service (LOS) has proved to be an important and practical "quality of service" indicator for transportation facilities around the world, widely used in the transportation and planning fields. The LOS rates these facilities' traffic operating conditions through the following delay-based indicators (ordered from best to worst conditions): A, B, C, D, E and F. This LOS rating has its foundation on quantifiable measures of effectiveness (MOEs) and on road users' perceptions; altogether, these measures define a LOS based on acceptable traffic operating conditions for the road user, implying that traffic safety is inherent to …


Safety Analyses At Signalized Intersections Considering Spatial, Temporal And Site Correlation, Xuesong Wang Jan 2006

Safety Analyses At Signalized Intersections Considering Spatial, Temporal And Site Correlation, Xuesong Wang

Electronic Theses and Dissertations

Statistics show that signalized intersections are among the most dangerous locations of a roadway network. Different approaches including crash frequency and severity models have been used to establish the relationship between crash occurrence and intersection characteristics. In order to model crash occurrence at signalized intersections more efficiently and eventually to better identify the significant factors contributing to crashes, this dissertation investigated the temporal, spatial, and site correlations for total, rear-end, right-angle and left-turn crashes. Using the basic regression model for correlated crash data leads to invalid statistical inference, due to incorrect test statistics and standard errors based on the misspecified …