Here Global B.v.

Michael Weinberger

Colin Watts-Fitzgerald

Shu Xie

Leon Stenneth

An approach is provided for determining one or more real-time traffic data series associated with one or more road segments over one or more time intervals. The approach involves causing, at least in part, a determination of one or more differences of the real-time data series with one or more historical models. The approach also involves determining whether the one or more real-time difference exceeds a threshold difference. The approach involves causing, at least in part, a selection of one or more other historical models for the one or more road segments over the one or more time intervals based, at least in part, on a determination that the real-time difference exceeds the threshold difference.

Method and apparatus for providing model selection for traffic prediction

Methods, apparatuses, systems, and computer program products for providing dangerous driving weather messages in a tile-based system are provided. An example method comprises receiving one or more measurements of one or more weather parameters for a geographic area. The geographic area is represented by a plurality of tiles. The method further comprises processing at least one of the measurements of at least one of the one or more weather parameters to determine a dangerous driving weather score for at least a first tile of the plurality of tiles; identifying a first tile of the plurality of tiles that is experiencing dangerous driving weather based on the dangerous driving weather score for the first tile; generating a dangerous driving weather message; and providing the dangerous driving weather message. The dangerous driving weather message comprises a timestamp, a list of one or more affected tile identifiers, an alert type, and alert information.

Dangerous driving weather messages

An approach is provided for determining one or more varying decay rates associated with one or more road segments. The approach involves causing, at least in part, a decaying of real-time traffic data to historical traffic data associated with the one or more road segments based, at least in part, on the one or more varying decay rates. The approach also involves determining one or more traffic predictions for the one or more road segments based, at least in part, on the decaying of the real-time traffic data to the historical traffic data.

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Geneva, IL, United States of America

Michael Weinberger