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:
May. 20, 2025

Filed:

Dec. 27, 2021
Applicant:

Here Global B.v., Eindhoven, NL;

Inventors:

Jingwei Xu, Buffalo Grove, IL (US);

Yuxin Guan, Chicago, IL (US);

Bruce Bernhardt, Wauconda, IL (US);

Weimin Huang, Chicago, IL (US);

Ian He, Chicago, IL (US);

Assignee:

HERE Global B.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G08G 1/01 (2006.01); G01C 21/36 (2006.01); G08G 1/052 (2006.01);
U.S. Cl.
CPC ...
G08G 1/0129 (2013.01); G01C 21/3691 (2013.01); G08G 1/052 (2013.01);
Abstract

An approach is provided for traffic data blending based on road segment travel time reliability during traffic prediction. The approach involves, for instance, retrieving real-time traffic information and/or historical traffic information for each road segment within a geographic area. The approach also involves aggregating traffic flow speed data in the real-time traffic information to compute traffic pattern data for each road segment. The traffic pattern data includes static speed data of each said road segment. The approach further involves aggregating traffic flow speed data in the historical traffic information to compute travel time reliability index metric(s) for each said road segment. The approach further involves determining, based on the travel time reliability index metric(s), to use the traffic pattern data, a mean, or a percentile of a road segment travel time distribution in the historical traffic information for traffic prediction associated with each said road segment.


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