Abstract: The present disclosure provides methods and systems for predicting a trip intent or destination while a user is traveling along a route. The method may comprise: (a) receiving a starting geographic location of the route and data about an identity of the user; (b) retrieving a trained classifier based at least in part on the data about the identity of the user; (c) using the trained classifier to predict the trip intent or destination based on the starting geographic location; and (d) while the user is traveling in a terrestrial vehicle along at least a portion of said route, presenting one or more transactional options to the user on an electronic device, wherein the one or more transactional options are identified based on the trip intent or destination predicted in (c).

Abstract: The present disclosure provides methods and systems for managing autonomous vehicle data. The method may comprise: (a) collecting said autonomous vehicle data from the autonomous vehicle, wherein the autonomous vehicle data has a size of at least 1 terabyte; (b) processing the autonomous vehicle data to generate metadata corresponding to the autonomous vehicle data, wherein the autonomous vehicle data is stored in a database; (c) using at least a portion of the metadata to retrieve a subset of the autonomous vehicle data from the database, which subset of the autonomous vehicle data has a size less than the autonomous vehicle data; and (d) storing or transmitting the subset of the autonomous vehicle data.