01137534

Component

Analyzing safety data to determine the cause of accidents and identify high-accident locations helps to improve road safety and reduce accident severity. Accident records contain a vast amount of information describing almost every aspect of a collision; however, mining accident data tables requires an extensive knowledge of querying languages and familiarity with the data itself. Existing analysis tools are usually disjoint, stand-alone applications and are not linked to the database directly, which makes the analysis process slow. In particular, the tools used by government agencies in the state of Maryland are complex, cumbersome, and require extensive training for users to perform even the simplest of tasks. EVA (Explore and Visualize Accidents) – is proposed as a solution to these problems. A Web-based application, EVA gives a wide array of users the ability to query the accident data directly from a central database, from any computer, and analyze it through a series of connected visualizations. EVA was designed with user needs in mind and accommodates computer novices as well as proficient users. EVA is unique in that it does not require the user to be familiar with the structure of the data to be able to explore it.

01120148

09-2888

English

18p

2009

Transportation Research Board 88th Annual Meeting

DVD

Figures (9) ; References (21)

Crash analysis; Crash data; Crash diagrams; Data mining; Graphical user interfaces; High risk locations; Multivariate analysis; Visualization

Data and Information Technology; Highways; I10: Economics and Administration; I81: Accident Statistics

Transportation Research Board Annual Meeting 2009 Paper #09-2888

BTRIS, TRIS, TRB

Jan 30 2009 7:15PM