Quality of analysis is inextricably tied to the timeliness of data. We load crash data nightly into our database, received in the Florida statewide standard XML format developed at the GeoPlan Center in partnership with the Florida Department of Highway Safety and Motor Vehicles. All crash attributes relevant for analysis are imported. Furthermore, each crash is geo-located, meaning the street address is mapped to a geographic point that can be shown on an interactive map.
Making sense of crash data requires narrowing down the data according to its scope – defined as date range and geographic area – and crash profile. Analysis is driven by a user-defined set of filters, each further restricting the result set.
Crash data can be viewed spatially in the context of a map. The system can present the data as individual points, or collectively as clusters. The map views allow analysts to quickly gain an intuitive understanding of the spatial distribution of crashes. Further map visualization methods are currently under development.
Crash attributes and derived statistics can be viewed in tabular format. Tables interact with the map view – as records are selected, associated points are highlighted on the map (and vice-versa).
The distribution of crashes can be charted according to any number of attributes (day of week, for example).
Users must provide a username and password.
All access is encrypted by secure HTTPS.