# US 10,480,950 B2 · Data gathering, analysis, scoring, and recommendation system for commuting > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,480,950 B2 - Document ID: US10480950B2 - Status: Granted - Kind: B2 - Application number: 16/295,606 - Filed: 2019-03-07 - Published: 2019-09-12 - Granted: 2019-11-19 - Earliest claimed: 2018-03-07 - Applicants: Rich Schmelzer; Esteban Sanchez - Inventors: Rich Schmelzer; Esteban Sanchez - Web page: https://patentgrep.com/patent/US10480950B2 ## CPC - G01C 21/3407: {specially adapted for specific applications} - G01C 21/3438: {Rendezvous; Ride sharing} - G01C 21/3453: {Special cost functions, i.e. other than distance or default speed limit of road segments} - G01C 21/3461: {Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types or segments such as motorways, toll roads or ferries} - G01C 21/3469: {Fuel consumption; Energy use; Emission aspects} - G01C 21/3484: {Personalized, e.g. from learned user behaviour or user-defined profiles} - G06Q 10/06393: {Score-carding, benchmarking or key performance indicator [KPI] analysis} - G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083) - G06Q 40/02: Banking, e.g. interest calculation or account maintenance (credit or loans G06Q40/03) - G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S) - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract A method and platform for improving one or more commutes comprises gathering data about one or more metrics of at least one user's commute; analyzing one or more alternate types of commutes available to the at least one user; creating, based on the data about one or more metrics and the analysis of the one or more alternate types of commutes available, a commuter score for the at least one user; and displaying one or more recommendations to the at least one user for improving the commuter score. ## Claims ### Claim 1 A method for improving one or more commutes, the method comprising: gathering data about one or more metrics of at least one user's commute, wherein the one or more metrics comprises each of: information about a mode of transportation; and information about a monetary cost of the at least one user's commute: analyzing one or more alternate types of commutes available to the at least one user; creating, based on the data about one or more metrics and the analysis of the one or more alternate types of commutes available, a commuter score for the at least one user; displaying one or more recommendations to the at least one user for improving the commuter score. ### Claim 2 (depends on 1) The method of claim 1, wherein the analyzing one or more alternate types of commutes available comprises analyzing: one or more alternate modes of transportation; or one or more alternate routes. ### Claim 3 (depends on 1) The method of claim 1, wherein the commuter score comprises a numerical value. ### Claim 4 (depends on 1) The method of claim 1, wherein the one or more recommendations for improving the commuter score comprise one or more recommendations for reducing: time spent commuting; money spent commuting; or carbon emissions resulting from commuting. ### Claim 5 (depends on 1) The method of claim 1, wherein the at least one user comprises a plurality of users, and the plurality of users are associated with an organization, and further comprising: creating an organization commuter score comprising an aggregation of commuter scores for the plurality of users. ### Claim 6 (depends on 5) The method of claim 5, further comprising: displaying one or more models for improving the organization commuter score. ### Claim 7 A platform for improving one or more commutes, the platform comprising: a database configured to receive data about one or more metrics of at least one user's commute, wherein the one or more metrics comprises each of: information about a mode of transportation; and information about a monetary cost of the at least one user's commute; an analytics component configured to: analyze one or more alternate types of commutes available to the at least one user; create, based on the data about one or more metrics and the analysis of the one or more alternate types of commutes available, a commuter score for the at least one user; and a display of one or more recommendations to the at least one user for improving the commuter score. ### Claim 8 (depends on 7) The platform of claim 7, wherein the analyzing one or more alternate types of commutes available comprises analyzing: one or more alternate modes of transportation; or one or more alternate routes. ### Claim 9 (depends on 7) The platform of claim 7, wherein the commuter score comprises a numerical value. ### Claim 10 (depends on 7) The platform of claim 7, wherein the one or more recommendations for improving the commuter score comprise one or more recommendations for reducing: time spent commuting; money spent commuting; or carbon emissions resulting from commuting. ### Claim 11 (depends on 7) The platform of claim 7, wherein the at least one user comprises a plurality of users, and the plurality of users are associated with an organization, and wherein the analytics engine is further configured to: create an organization commuter score comprising an aggregation of commuter scores for the plurality of users. ### Claim 12 (depends on 11) The platform of claim 11, wherein the display is further configured to: display one or more models for improving the organization commuter score. ### Claim 13 A non-transitory, tangible computer readable storage medium, encoded with processor readable instructions to perform a method for improving one or more commutes, the method comprising: gathering data about one or more metrics of at least one user's commute, wherein the one or more metrics comprises each of: information about a mode of transportation; and information about a monetary cost of the at least one user's commute; analyzing one or more alternate types of commutes available to the at least one user; creating, based on the data about one or more metrics and the analysis of the one or more alternate types of commutes available, a commuter score for the at least one user; displaying one or more recommendations to the at least one user for improving the commuter score. ### Claim 14 (depends on 13) The non-transitory, tangible computer readable storage medium of claim 13, wherein the analyzing one or more alternate types of commutes available comprises analyzing: one or more alternate modes of transportation; or one or more alternate routes. ### Claim 15 (depends on 13) The non-transitory, tangible computer readable storage medium of claim 13, wherein the commuter score comprises a numerical value. ### Claim 16 (depends on 13) The non-transitory, tangible computer readable storage medium of claim 13, wherein the one or more recommendations for improving the commuter score comprise one or more recommendations for reducing: time spent commuting; money spent commuting; or carbon emissions resulting from commuting. ### Claim 17 (depends on 13) The non-transitory, tangible computer readable storage medium of claim 13, wherein the at least one user comprises a plurality of users, and the plurality of users are associated with an organization, and further comprising: creating an organization commuter score comprising an aggregation of commuter scores for the plurality of users; and displaying one or more models for improving the organization commuter score.