The following blog post is sponsored by IBM.
Police departments throughout the U.S. have been trying for years to find ways to cut the number of accidents and fatalities occurring on the country’s highways. But one solution—based on data analytics—has begun to generate a lot of attention (and a fair amount of success) recently.
The Tennessee Highway Patrol is using sophisticated analytic software to help reduce traffic accidents and fatalities. The Crash Reduction Analyzing Statistical History program—or C.R.A.S.H.—helps predict where and when traffic accidents are most likely to occur, so highway patrol teams can be deployed to trouble spots ahead of time and head off potential crashes or offer immediate assistance in cases where accidents do occur.
Funded by federal grants, the system analyzes data on everything from weather patterns and accident histories to special events and home football schedules to help pinpoint likely problems. And thanks to IBM SPSS Predictive Analytics technology, the program has achieved a 72 percent accuracy rate in its first six months.
Attend a free webinar on Thursday, September 18 at 2 pm EDT and learn more about how the program works and what the future may hold for programs like this.
This blog post is sponsored by IBM.