Location fingerprinting for a transit system

A mobile device comprising:

• one or more computer processors;
• a non-transitory computer-readable medium storing instructions operable to cause the one or more computer processors to perform operations comprising:
• obtaining, by the mobile device, a map of a transit system, the map indicating a plurality of stations of the transit system and respective platforms at each station;
• obtaining, by the mobile device, a location fingerprint associated with a platform of a station of the plurality of stations, the location fingerprint indicating a probability distribution of crowdsourced or surveyed received signal strength measurements of radio frequency (RF) signals;
• obtaining, by the mobile device while operating at the station, received signal strength measurements of radio frequency (RF) signals;
• receiving, from one or more sensors of the mobile device, sensor measurements indicating a first motion state of the mobile device at the station;
• determining that the mobile device is located at the platform of the station based on the received signal strength measurements, the first motion state, the location fingerprint and the map;
• determining, based at least upon the first motion state, that the mobile device is onboard a transit vehicle that is stopped at the platform;
• predicting a next station that the mobile device will reach from the platform based at least upon the map and a determination that the mobile device is onboard the transit vehicle;
• and
• providing a representation of the next station for presentation by the mobile device.

A non-transitory computer-readable medium storing instructions operable to cause one or more computer processors to perform operations comprising:

• obtaining, by a mobile device, a map of a transit system, the map indicating a plurality of stations of the transit system and respective platforms at each station;
• obtaining, by the mobile device, a location fingerprint associated with a platform of a station of the plurality of stations, the location fingerprint indicating a probability distribution of crowdsourced or surveyed received signal strength measurements of radio frequency (RF) signals;
• obtaining, by the mobile device while operating at the station, received signal strength measurements of radio frequency (RF) signals;
• receiving, from one or more sensors of the mobile device, sensor measurements indicating a first motion state of the mobile device at the station;
• determining that the mobile device is located at the platform of the station based on the received signal strength measurements, the first motion state, the location fingerprint and the map;
• determining, based at least upon the first motion state, that the mobile device is onboard a transit vehicle that is stopped at the platform;
• predicting a next station that the mobile device will reach from the platform based at least upon the map and a determination that the mobile device is onboard the transit vehicle;
• and
• providing a representation of the next station for presentation by the mobile device.