San Fransisco based LandSonar, a supplier of predictive traffic information for the US road network has announced the integration of its LandSonar Predictive Speed (LPS™) data with deCarta’s Drill Down Server (DDS) geospatial software platform.
LandSonar aggregates and enhances real-time traffic data and historical data from a number of private and public sources including GPS-equipped vehicles and roadside sensors. The traffic data is enhanced by incorporating additional sources such as real-time traffic incident reports, weather reports and forecasts, road construction data, and public events that may affect the traffic situation. Predictive algorithms are applied to determine speed and time estimates. LandSonar distributes its traffic information to end-users either as a software service or embedded in third-party products.
deCarta’s DDS is a geospatial software platform for location-based services. It enables several location-based applications that can be delivered to wide range of devices, including mobile phones, smartphones, PDAs, web browsers, and vehicle telematics units. Thanks to LandSonar’s forecast traffic data, end-users of deCarta’s DDS will now be able to receive better, time sensitive, predictive routes and more accurate travel times. Until now, most routing solutions have relied on static speed data to calculate trip durations and arrival times. According to Robert Reid, executive vice president and co-founder at LandSonar, “choosing DDS as a platform for LPS was a simple decision. deCarta’s products lead the industry in route and traffic expression, but still required the ability to estimate what’s likely to happen. Working together, we have the first solution making predictions based on complete coverage data for our shared customers.”
deCarta’s DDS featuring LandSonar Predictive Speed data is available for demonstration now, and is expected to be deployed for end-user functionality in the second half of 2006.
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