Display Rapid Summaries of your Crash & Roadway Data
Take Advantage of Powerful Visualization and Graphing Tools
OnSafety™ Analytics is integrated with GIS, but does not require users to be GIS experts
The Analytics module contains a suite of technical data-visualization and analysis widgets; it is driven by the CARE analytics engine and boasts performance comparable to state-of-the-art business intelligence engines.
Quickly interrogate summary crash data
OnSafety™ Analytics is useful in combining and comparing datasets for primary crash records, roadway features, traffic counts, LRS locations, and other smaller data sets. It allows agencies to combine several sources of pertinent data into a single rapid-access, read-only data warehouse.
Once appropriate datasets have been extracted from the warehouse, users have the ability to perform a number of complex statistical analyses including:
- Frequency distributions
- Cross tabulations
- Maximum gain calculations
- Evaluations of over-and-under representations
- Comparisons and correlations
- Strip-maps and hot spot determinations
The Analytics module is included with the base configuration of the OnSafety™ Portal.
Users can perform a frequency analysis (number of occurrences) on any single variable, within any dataset, and using any dataset filter. Results can be displayed in table or chart format. Tables can be output to .csv files, and charts can be downloaded as common .jpg or .png image files.
Cross Tab Analysis
Users can analyze the product of two variables with the Cross Tab tool. It is useful to analyze the relationship between things. For example, “Weekdays” analyzed with “Time of Day” might emphasize crashes occurring on certain days at specific times. Select any dataset, any filter, and two variables to analyze the relationship. Results will be displayed in a table and bar chart.
Users can also compare the results of two filters. This is often the comparison of one filter against its complement. For example, users might compare a section of roadway against other sections of roadways with like facility types. Results can be helpful to see if any study section variables “stand out” as compared to the average of all similar sections. Results can be displayed in a table or bar chart.
Filter manager creates, combines, and deletes filters set by users. Users may create new filters based upon combining variables with logical expressions and values. Two filters can be combined to more clearly specifying a selection set. Users can also save and delete user-defined filters.