TRAFFIC STATE ESTIMATION WITH INTEGRATION OF TRAFFIC, WEATHER, INCIDENT, PAVEMENT CONDITION, AND ROADWAY OPERATIONS DATA
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United States of America Patent
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Issued Date -
Aug 7, 2014
app pub date -
Feb 5, 2014
filing date -
Feb 6, 2013
priority date (Note) -
Abandoned
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Abstract
An integrated traffic state estimation framework ingests information from multiple input data sources having an impact on traffic flow and correlated to specific road links in a segmented roadway network, and generates output data representative of predictive traffic states. The predictive traffic states are then modeled to generate routing information for traffic on a particular section of roadway. These multiple input data sources include general traffic data collected from one or more sensors or third parties, weather data, incident data, pavement condition data, and roadway operations data, each of which includes data relevant to traffic congestion. The input data is weighted and modeled with data processing modules configured to integrate known and predicted information to produce accurate routing information for particular roadway segments for media, telematics, and consumer uses.
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