This report describes the development of real-time crash prediction models for the Interstate-4 corridor in Central Florida area. Crash data for 36.25-mile freeway stretch from the year 1999 through 2002 has been used to link the crash occurrences with real-time traffic patterns observed through loop detector data. The analysis technique adopted for this phase of the study is with-in stratum matched case-control logistic regression. The purpose of matched case-control analysis is to explore the effects of independent variables of interest on the binary outcome while controlling for other confounding variables through the design of the study. In the context of this research crash or non-crash is the binary outcome with traffic parameters being the independent variables.
Linking Crash Patterns to ITS-Related Archived Data
2004
92 pages
Report
No indication
English
Transportation & Traffic Planning , Transportation , Road Transportation , Motor vehicle accidents , Traffic patterns , Data storage , Archives , Traffic crashes , Traffic management , Traffic flow , Risk , Freeways , Corridors , Prediction , Parameters , Traffic safety , Florida , Regression analysis , Implementation , Intelligent Transportation Systems(ITS) , ITS(Intelligent Transportation Systems)
Using Data Mining to Analyze Archived Traffic Related Data
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