Back to results
US 8,275,540 B2Granted
Dynamic time series prediction of traffic conditions
AssigneeInrix, Inc.
InventorsOliver B. Downs, Craig H. Chapman, Alec Barker
Life of this patent
Estimating the term…
Loading patent…
Loading patent…
AssigneeInrix, Inc.
InventorsOliver B. Downs, Craig H. Chapman, Alec Barker
Estimating the term…
Techniques are described for generating predictions of future traffic conditions at multiple future times, such as by using probabilistic techniques to assess various input data while repeatedly producing future time series predictions for each of numerous road segments (e.g., in a real-time manner based on changing current conditions for a network of roads in a given geographic area). In some situations, one or more predictive Bayesian models and corresponding decision trees are automatically created for use in generating the future traffic condition predictions for each geographic area of interest, such as based on observed historical traffic conditions for those geographic areas. Predicted future traffic condition information may then be used in a variety of ways to assist in travel and for other purposes, such as to plan optimal routes through a network of roads based on predictions about traffic conditions for the roads at multiple future times.
A computer-implemented method comprising:
The method of 20 wherein the automatic predicting of the traffic conditions is performed for each of multiple distinct future times, and wherein each of the identified multiple route options includes a plurality of the multiple road segments.
A non-transitory computer-readable medium whose stored contents configure a computing system to perform a method, the method comprising:
A computing system, comprising:
Dependencies are inferred from the claim text.