METHODS OF PREDICTING DESTINATIONS FROM PARTIAL TRAJECTORIES EMPLOYING OPEN- AND CLOSED-WORLD MODELING METHODS Russian patent published in 2010 - IPC G08G1/968 G01C21/36 

Abstract RU 2406158 C2

FIELD: physics.

SUBSTANCE: destinations of a trip are based on at least one of a prior and a likelihood based at least in part on the received input data. The destination estimator component can use one or more of a personal destinations prior, time of day and day of week, a ground cover prior, driving efficiency associated with possible locations, and a trip time likelihood to probabilistically predict the destination. In addition, data gathered from a population about the likelihood of visiting previously unvisited locations and the spatial configuration of such locations may be used to enhance the predictions of destinations and routes. The group of inventions make easier probabilistic prediction of destinations.

EFFECT: output of distributions of probabilities on destinations and routes of a user from observations on content and partial trajectories.

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RU 2 406 158 C2

Authors

Kramm Dzhon S.

Khorvits Ehrik Dzh.

Dates

2010-12-10Published

2006-09-05Filed