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:
Jun. 12, 2018

Filed:

Mar. 09, 2016
Applicant:

University of Southern California, Los Angeles, CA (US);

Inventors:

Bei Pan, Los Angeles, CA (US);

Ugur Demiryurek, Redondo Beach, CA (US);

Cyrus Shahabi, Irvine, CA (US);

Assignee:

University of Southern California, Los Angeles, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G08G 1/00 (2006.01); G08G 1/01 (2006.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G08G 1/00 (2013.01); G08G 1/0112 (2013.01); G08G 1/0129 (2013.01); G08G 1/0141 (2013.01);
Abstract

Systems and techniques for enhancing accuracy of traffic prediction include a system of one or more computers operable to receive a request relating to traffic prediction, compare a first prediction error for a first (moving average) traffic prediction model with a second prediction error for a second (historical average) traffic prediction model, calculated using a historical data set selected from previously recorded traffic data in accordance with a day and time associated with the request, select use of the first model or the second model based on the comparison of prediction errors, and provide an output for use in traffic prediction, wherein the output comes from applying the first traffic prediction model when the first prediction error is less than the second prediction error, and the output comes from applying the second traffic prediction model when the first prediction error is not less than the second prediction error.


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