Optimizing traffic predictions and enhancing notifications
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United States of America Patent
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Oct 18, 2011
Grant Date -
May 5, 2011
app pub date -
Oct 28, 2010
filing date -
Dec 22, 2004
priority date (Note) -
Expired
status (Latency Note)
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Abstract
Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of origin/destination data pairs, user preferences, demographic data and other types of socioeconomic data. This data can source a prediction algorithm or be used to calibrate or more make accurate a current algorithm. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).
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