New service to help predict local traffic patterns

New service to help predict local traffic patterns


Australia: Intelematics Australia has developed one of the country’s largest traffic databases to help local motorists and planners better predict travel times.
The new service, SUNA Predictive, provides an extensive database of real-world travel times across the Australian main road network. So far, more than one billion speed measurements have been captured using probe vehicles and fixed road sensors ensuring the new service reflects actual travel times rather than theoretical predictions based on road class or speed limits.

Systems incorporating SUNA Predictive will have visibility of speed profiles for each main road segment, based on time of day and day of week.  By leveraging this knowledge, better route advice and greatly improved arrival time estimation will now be possible.

It is common sense that it takes longer to drive to the airport in peak hour rather than late at night, however most navigation and route planning applications continue to apply the same travel time estimation regardless of the time of departure. By providing insight into real-world conditions, SUNA Predictive hopes to significantly improve the accuracy of GPS navigation calculations, as well as logistics and scheduling applications. Road management agencies may also use the database in capacity planning and road management applications.

SUNA Predictive has been developed by leveraging traffic information used or generated by SUNA Traffic Channel, a real-time traffic service that has been broadcasting detailed information on traffic congestion and other road conditions directly to compatible GPS navigation devices since 2007.