Dynamic time series prediction of future traffic conditions
US7813870B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2006 |
| Grant date | Oct 12, 2010 |
| Priority date | — |
| Expiry date | Aug 12, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/0968
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.