US 11,955,000 B2
Methods, systems, and media for generating and evaluating street grids
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); and Samara Trilling, New York, NY (US)
Assigned to Google LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Nov. 18, 2020, as Appl. No. 16/951,881.
Claims priority of provisional application 62/936,890, filed on Nov. 18, 2019.
Prior Publication US 2021/0150888 A1, May 20, 2021
Int. Cl. G08G 1/01 (2006.01)
CPC G08G 1/0112 (2013.01) [G08G 1/0129 (2013.01); G08G 1/0133 (2013.01); G08G 1/0141 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method for generating and evaluating street grids, the method comprising:
receiving, using a hardware processor, street grid information corresponding to a plurality of locations, wherein the street grid information corresponding to a location in the plurality of locations is associated with vehicular traffic information;
training, using the hardware processor, a pedestrian comfort model using the street grid information and the vehicular traffic information from each of the plurality of locations, 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, using the hardware processor, a plurality of potential street grids;
evaluating, using the hardware processor, 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;
generating an interactive augmented map of each potential street grid that presents, upon receiving a selection of a portion of a potential street grid, the predicted pedestrian comfort scores for the selected portion; and
providing, using the hardware processor, the interactive augmented map to a user device.