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:
Apr. 09, 2024

Filed:

Nov. 18, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Dan Vanderkam, Brooklyn, NY (US);

Douwe Osinga, New York, NY (US);

Violet Whitney, Long Island City, NY (US);

Kabir Soorya, Long Island City, NY (US);

Jack Amadeo, Brooklyn, NY (US);

Difei Chen, New York, NY (US);

Brian Ho, New York, NY (US);

Okalo Ikhena, New York, NY (US);

Amanda Meurer, Brooklyn, NY (US);

Samara Trilling, New York, NY (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G08G 1/01 (2006.01);
U.S. Cl.
CPC ...
G08G 1/0112 (2013.01); G08G 1/0129 (2013.01); G08G 1/0133 (2013.01); G08G 1/0141 (2013.01);
Abstract

Methods, systems, and media for generating and evaluating street grids comprising: receiving street grid information corresponding to a plurality of locations, wherein the street grid information corresponding to a location is associated with vehicular traffic information; training a pedestrian comfort model using the street grid information and the vehicular traffic information, wherein an output of the pedestrian comfort model is a predicted pedestrian comfort score that is based on traffic congestion from the vehicular traffic information; receiving a plurality of potential street grids; evaluating each potential street grid in the plurality of potential street grids using the trained pedestrian comfort model, wherein the trained pedestrian comfort model generates predicted pedestrian comfort scores for portions of each potential street grid; and generating an augmented map of each potential street grid that presents the predicted pedestrian comfort scores for each portion of each potential street grid.


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