IBM
Case Studies
Tennessee Highway Patrol: Using predictive analytics to help prevent road accidents and save lives
Overview
Tennessee Highway Patrol: Using predictive analytics to help prevent road accidents and save livesIBM |
Analytics & Modeling - Predictive Analytics | |
Security & Public Safety | |
Logistics & Transportation | |
Predictive Maintenance Traffic Monitoring | |
Data Science Services | |
Operational Impact
The predictive analytics solution from IBM helps officers decide how to deploy their troopers for maximum effect, and enables troopers to decide the best routes to patrol for each shift they work. | |
Troopers can be deployed to problem spots ahead of time, either to prevent the predicted crashes from occurring or, failing that, to be on the scene of an accident more quickly to render better assistance. | |
Quantitative Benefit
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. | |
A 34 percent rise in driving-under-the-influence (DUI) arrests. | |