The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 09, 2013

Filed:

Dec. 08, 2011
Applicants:

Craig H. Chapman, Redmond, WA (US);

Kush G. Parikh, Kirkland, WA (US);

Oliver B. Downs, Redmond, WA (US);

Robert C. Cahn, Federal Way, WA (US);

Jesse S. Hersch, Bellevue, WA (US);

Inventors:

Craig H. Chapman, Redmond, WA (US);

Kush G. Parikh, Kirkland, WA (US);

Oliver B. Downs, Redmond, WA (US);

Robert C. Cahn, Federal Way, WA (US);

Jesse S. Hersch, Bellevue, WA (US);

Assignee:

Inrix, Inc., Kirkland, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/3691 (2006.01); G08G 1/0104 (2006.01); G08G 1/0968 (2006.01);
U.S. Cl.
CPC ...
Abstract

Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).


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