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:
Aug. 02, 2022

Filed:

Dec. 28, 2018
Applicant:

Lyft, Inc., San Francisco, CA (US);

Inventors:

Carlos Ellis Whitt, San Francisco, CA (US);

Steven James Martisauskas, San Francisco, CA (US);

Dor Levi, San Francisco, CA (US);

Assignee:

Lyft, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01C 21/34 (2006.01); B60L 58/13 (2019.01); G07C 5/00 (2006.01); G06Q 10/02 (2012.01); G06Q 50/30 (2012.01); B60Q 1/34 (2006.01); B60Q 1/44 (2006.01); B60W 10/08 (2006.01); B60W 10/18 (2012.01); B60W 10/20 (2006.01); B60W 10/30 (2006.01); B60W 50/12 (2012.01); G08G 1/16 (2006.01); G08G 1/01 (2006.01); G01C 21/20 (2006.01); H04W 4/029 (2018.01); H04W 4/40 (2018.01); B60R 25/24 (2013.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
B60L 58/13 (2019.02); B60Q 1/346 (2013.01); B60Q 1/444 (2013.01); B60R 25/245 (2013.01); B60W 10/08 (2013.01); B60W 10/18 (2013.01); B60W 10/20 (2013.01); B60W 10/30 (2013.01); B60W 50/12 (2013.01); G01C 21/20 (2013.01); G01C 21/3415 (2013.01); G01C 21/3423 (2013.01); G01C 21/3438 (2013.01); G01C 21/3461 (2013.01); G01C 21/3492 (2013.01); G06Q 10/02 (2013.01); G06Q 50/30 (2013.01); G06V 20/588 (2022.01); G07C 5/004 (2013.01); G07C 5/008 (2013.01); G08G 1/0125 (2013.01); G08G 1/163 (2013.01); G08G 1/165 (2013.01); H04W 4/029 (2018.02); H04W 4/40 (2018.02); B60R 2325/205 (2013.01); B60W 2300/365 (2013.01); B60W 2510/244 (2013.01); B60W 2552/00 (2020.02); B60W 2552/15 (2020.02); B60W 2710/086 (2013.01); B60W 2710/18 (2013.01); B60W 2710/20 (2013.01); B60W 2710/30 (2013.01); B60W 2720/10 (2013.01); B62K 2202/00 (2013.01);
Abstract

The disclosed computer-implemented method may include routing personal mobility vehicles based on road or path conditions. In some embodiments, trip routing for personal mobility vehicles participating in a dynamic transportation network may leverage road condition map data gathered from personal mobility vehicle sensors to evaluate potential routes for personal mobility vehicles. In some examples, the method may account for the type and/or characteristics of the personal mobility vehicle when evaluating a potential route. In some examples, the method may account for user preferences when evaluating a potential route. The method may also make matching decisions for a dynamic transportation matching system and/or personal mobility vehicle distribution decisions for the dynamic transportation network based on the conditions of prospective routes. Various other methods, systems, and computer-readable media are also disclosed.


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