Big data has been increasingly deployed by municipalities that are looking to better understand the way traffic flows throughout the city, but it is also being deployed more often by police forces in order to make roads safer.
This is certainly the case in Tennessee, where they’ve been using predictive crash software to better understand the safety hot spots on their roads. The program, which was launched in 2013, uses data from every crash reported in the state, together with the weather conditions at the time, and externalities such as special events.
This then generates a map showing the likelihood of incidents in any area during a given four-hour window each day. This map can be monitored from the patrol car so that officers can provide targeted attention in real-time, together with more considered responses in advance.