Business Challenge story
The Tennessee Highway Patrol (THP) needed to improve highway safety and cut accident rates without increasing staff levels. How could it determine the best times and locations to deploy its troopers?
Working with IBM and using IBM® SPSS® technology, the THP built a model that uses historical data on traffic, accidents, weather and events to predict future incidents with a high degree of accuracy.
In year one, traffic fatalities in Tennessee fell to their lowest level since 1963. The state also saw a six percent reduction in traffic accident casualties and a 34 percent rise in driving-under-the-influence (DUI) arrests.
- Cognos Analytics
- SPSS Modeler