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Stephanie received a BSc. in Computer Science from the University of Applied Sciences in Darmstadt, Germany, and a MSc. in Computer Science from a joint program at the University of Applied Sciences in Darmstadt and from the University of Wisconsin - Platteville. Additionally, she has studied Information and Documentation for two years. |


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Kristina’s experience working within the NAVTEQ sales organization has enabled her to take an immediate lead to ensure that NAVTEQ puts its best presence forward during events. Kristina’s background includes both bachelor’s and master’s degrees in history. She strongly believes that NN4D is totally awesome. |

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- > Traffic APIs
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NAVTEQ Traffic provides continuously streamed information about traffic conditions. NAVTEQ Traffic is comprised of flow and incident data aggregated from multiple sources and rigorously tested. The data sources include from multiple sources including GPS vehicular probes, roadway sensors, and Operations Centers.
NAVTEQ Traffic Patterns is a historical database with information about the average traffic flow velocity for specific sections of roadways, geo-referenced to the NAVTEQ map. NAVTEQ Traffic Patterns enables more accurate navigation calculations so drivers can avoid typical congestion areas, and rely on more accurate arrival time estimates.

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