A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

An information processing method, an information processing system, an information processing device, and an information terminal of the present invention, accepts a destination for the vehicle, then searches for the travel route to the destination and sets as a first travel route, and sets a travel start time to start traveling on the first travel route. Then, vehicle information is acquired for the vehicle in advance of the travel start time by a prescribed time after the setting of the first travel route; and a travel route to the destination is searched again and a second travel route is set based on the vehicle information.

A computer-implemented method and computer program product for directing a driver of an electric vehicle to a point of interest and a charging station in close proximity to the point of interest. The method includes the steps of: (a) receiving from a user a requested activity of interest; (b) identifying one or more points of interest matching the requested activity of interest and that are within a pre-determined point of interest range from the electric vehicle; (c) identifying charging stations within a pre-determined station distance from each of the identified points of interest; and (d) presenting to the user the identified points of interest having an identified charging station within the pre-determined station distance. The computer program is configured to perform the aforementioned steps.

A computer-based system collects data associated with a user activity. The data is transmitted from an app running on a computing device with a user account authenticated by the computer-based system. A carbon footprint of the user activity is calculated based on the data associated with the user activity. The system calculates a proof of environmental impact in response to a function of the carbon footprint and a baseline value. An amount of cryptocurrency is generated based on the proof of environmental impact by writing a transaction for the amount of cryptocurrency to a blockchain in response to proof of environmental impact. The amount of cryptocurrency is assigned to the user account authenticated with the computer-based system.

An information processing apparatus includes an acquirer that acquires first information indicating a remaining charge of a first battery that is detachably mounted in an electric vehicle and supplies electric power for traveling of the electric vehicle and second information regarding a destination of the electric vehicle, a travel route predictor that predicts a travel route of the electric vehicle based on the second information acquired by the acquirer, and a determiner that refers to map information indicating, on a map, positions of a plurality of charging stations at which a second battery to be rented to a user is charged and determines a charging station at which the second battery is rented as a replacement for the first battery mounted in the electric vehicle based on the travel route predicted by the travel route predictor.

A control device for a fuel cell vehicle includes a power limiter limiting power of a fuel cell when a temperature correlation value correlated to a temperature of the fuel cell indicates that the temperature is equal to or higher than a temperature threshold, a calculation unit calculating a weight of a towed vehicle, a gradient acquirer acquiring upward gradients at respective points on a planned traveling route, a predictor predicting whether the power of the fuel cell is limited when the fuel cell vehicle is traveling along the planned traveling route in a towing travel state, and a controller issuing, when the predictor predicts that the power of the fuel cell is limited, an alert that a vehicle speed of the fuel cell vehicle is expected to decrease when the fuel cell vehicle is traveling along the planned traveling route in the towing travel state.

Systems and methods are provided for suggesting a charging station for an electric vehicle. A partial range of the electric vehicle corresponding to a predetermined percentage of the current state of charge of a battery of the electric vehicle is determined. A location corresponding to the partial range, along a route to a destination, is determined and used to select a suggested charging station based on the location corresponding to the partial range. The suggested charging station is generated for presentation at a display.

An operational system of the present disclosure is an operational system for a plurality of fuel cell electric vehicles. The operational system is equipped with a decision unit that decides a single operational route based on supply amounts of hydrogen available from a plurality of hydrogen stations respectively, from among a plurality of candidates of an operational route of each of the fuel cell electric vehicles, and a scheduling unit that schedules the filling of each of the fuel cell electric vehicles with hydrogen at the hydrogen station or hydrogen stations included on the decided operational route. The decision unit decides the new operational route based on post-change available supply amounts of hydrogen in the case where the supply amounts of hydrogen available from the respective hydrogen stations change when each of the fuel cell electric vehicles runs on the decided operational route.

A method for generating energy-optimized travel routes for a motor vehicle includes one or more of the following: receiving an origin destination (OD) of the motor vehicle and an encrypted energy consumption database of the motor vehicle; generating N candidate routes for the OD; evaluating encrypted energy consumption over a route using an encrypted energy consumption database; applying at least one of homomorphic addition function or homomorphic multiplication function to the encrypted energy consumption data; and returning N candidate routes and their encrypted energy consumption to a client.