A new traffic reporting system for integration in cars and apps has been launched by Inrix.
The firm, who also provide traffic data and bulletins for radio stations, have developed the system to use a combination of human intelligence and machine learning to improve the accuracy and speed of reporting accidents, construction, road closures and other traffic-impacting events.
INRIX XD Incidents detects accidents and road closures faster than before by automatically correlating real-time traffic flow data with information from nearly 400 public and private sources including media partners, departments of transportation, emergency responders, and community reports via mobile and in-vehicle applications as well as social networks like Twitter.
“Leveraging the massive network effect INRIX has built with traffic flow data worldwide, we’re now applying machine learning and big data analytics to what’s traditionally been an incredibly time-consuming, expensive manual process,” said Bryan Mistele, INRIX president and CEO. “For automakers, drivers can be alerted about an accident ahead in time to take a faster alternative route. For departments of transportation, agency professionals can be notified of incidents earlier and across their entire road networks, allowing them to implement incident response efforts more quickly.”
The system provides detailed traffic speeds for every mile down to 800 feet (250 metre) increments, INRIX XD Traffic improves route guidance and delivers better insight to transportation agencies for improving road network performance.