Abstract: Transportation information systems and methods are disclosed, which facilitate the use of transportation, including trip planning. An exemplary method includes receiving user data associated with public transportation usage. The exemplary method also includes receiving public transportation data including real-time public transportation data. The exemplary method further includes generating scheduling information based on the user data and real-time public transportation data.

Abstract: Transportation information systems and methods are disclosed, which facilitate the use of transportation, including trip planning. An exemplary method includes generating first scheduling information for a first user based on first user data, public transportation data, a first starting location, and a first destination location. The exemplary method also includes determining that a second user starting from a second starting location different from the first starting location would like to join the first user. The exemplary method further includes generating second scheduling information for the second user to meet the first user based on second user data, public transportation data, the second starting location, real-time location information for the first user, and a second destination location.

Abstract: An exemplary method includes determining whether real-time vehicle location information deviates from at least one of historical real-time vehicle location information or scheduled vehicle location information. The exemplary method further includes generating a schedule degradation mode based on a deviation of real-time vehicle location information from at least one of historical real-time vehicle location information or scheduled vehicle location information. The exemplary method also includes generating first scheduling information for a user based on the user data and public transportation data when the deviation does not exceed a threshold. The exemplary method farther includes generating second scheduling information, different from the first scheduling information, that includes an indication of the schedule degradation mode for the user based on user data, public transportation data, and the deviation when the deviation exceeds the threshold.