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:
Sep. 20, 2016

Filed:

Jun. 19, 2014
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Frederick S. M. Herz, Warrington, PA (US);

Pierre Lemaire, Philadelphia, PA (US);

Jean H. Lemaire, Marlton, NJ (US);

Walter Paul Labys, Logan, UT (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/36 (2006.01); H04L 29/08 (2006.01); H04W 8/18 (2009.01); G01C 21/34 (2006.01); G06Q 30/02 (2012.01); G06Q 40/08 (2012.01); G08G 1/096 (2006.01); H04W 4/02 (2009.01); H04W 4/22 (2009.01);
U.S. Cl.
CPC ...
H04L 67/1025 (2013.01); G01C 21/3415 (2013.01); G01C 21/3602 (2013.01); G01C 21/3617 (2013.01); G01C 21/3679 (2013.01); G01C 21/3682 (2013.01); G01C 21/3697 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0261 (2013.01); G06Q 30/0265 (2013.01); G06Q 30/0269 (2013.01); G06Q 40/08 (2013.01); G08G 1/096 (2013.01); H04L 67/125 (2013.01); H04L 67/18 (2013.01); H04L 67/20 (2013.01); H04L 67/2847 (2013.01); H04L 67/303 (2013.01); H04W 4/02 (2013.01); H04W 8/18 (2013.01); H04W 4/023 (2013.01); H04W 4/028 (2013.01); H04W 4/22 (2013.01);
Abstract

When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally; using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.


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