Toyota Motor North America, Inc.

Toyota Motor Engineering & Manufacturing North America, Inc.

Mark Anthony McClung

Michael C Edwards

Joshua C Batie

Emily S Lerner

Brian M Kursar

Ryan T Oehler

Steve Basra

Neil Dutta

Wilson-Boon Siang Khoo

Mathew D Gardner

Senthilkumar Gopal Kalaimani

Gopal Kalaimani Senthilkumar

Ryan Wheeler

Ashok Ramadass

An example operation includes one or more of receiving, by a server, characteristics related to a transport within a time period, wherein the characteristics are related to a condition of the transport, an operation behavior of the transport and an upkeep of the transport, providing, by the server, one or more actions to perform by the transport to increase a level of the characteristics, and responsive to the level of the characteristics being increased, determining, by the server, a next use of the transport after the time period.

Transport assessment

An example operation includes one or more of obtaining, by a transport, data related to a performance of the transport, determining, by the transport, a performance level of the transport based on the obtained data, dynamically revising, by the transport, the performance level based on a current use of the transport, and determining, by the transport, a next use of the transport, based on the dynamically revised performance level.

Transport use determination

Fueling verification systems and methods for corroboration of vehicle fueling are described herein. The systems and methods provide for verifiable transmission of data collected from a remote source to assure data integrity and maintain proper fuel transmission as part of vehicle fueling. The systems and methods can include collecting a first fuel measure for a fueling process from a delivery source. A second fuel measure can be recorded into a blockchain. The second fuel measure for the fueling process can be received from a recipient source. Then, the first fuel measure and the second fuel measure can be correlated to determine a fueling offset. Then, the delivery source and/or the recipient source can be compensated based on the fueling offset.

Hydrogen fueling station communication

Methods, systems, and devices for a cross-linked distributed ledger. The cross-referencing system includes multiple computing devices including a first computing device and a second computing device. A computing device of the multiple computing devices is configured to maintain a first cross-linked distributed ledger. The first cross-linked distributed ledger has a first set of multiple linked records that are associated with a first identifier. The first computing device includes a processor. The processor is configured to link or provide a first record associated with the first identifier to the first cross-linked distributed ledger. The first record has a first reference to a second record. The second record is within a second set of multiple cross-linked records of a second cross-linked distributed ledger.

Parallel blockchains for vehicle and user ID

Methods and systems for managing information about fuel stations. A system includes an imaging system and a profile management system. The imaging system is used for generating imaging data for a fuel station onboard a vehicle. The profile management system receives the imaging data. The profile management system identifies selected information for the fuel station based on the imaging data received. The selected information includes an identification of the fuel station, pricing information, and at least one of fuel inventory information, or business hours information for the fuel station. The profile management system updates a profile for the fuel station based on the selected information. The profile management system sends at least a portion of the profile for the fuel station to a target system.

Data analytics for smart vehicle fueling

Methods and systems for recommending future vehicles. The system includes one or more sensors of a current vehicle configured to detect sensor data. The system includes a vehicle transceiver of the current vehicle configured to communicate the sensor data. The system includes a remote data server configured to receive the sensor data from the current vehicle, and determine one or more vehicles to recommend to the driver of the current vehicle based on the received sensor data. The system includes a computing device coupled to the remote data server and configured to display the one or more vehicles to be recommended to the driver of the current vehicle.

Vehicle recommendation system using sensors

Systems and methods to generate purchase suggestions are disclosed. Exemplary implementations may: present purchase suggestions, by a user interface to the vehicle occupant; generate output signals conveying a location of the vehicle; receive and determine output signals of external resources conveying interest information of the vehicle occupant; determine, based on the output signals, location of the vehicle; determine, based on the location and vehicle-to-infrastructure communications, business information of one or more businesses nearby; build one or more business profiles; build one or more purchase profiles; store the one or more business profiles and/or purchase profiles in electronic storage; determine, based on the one or more business profiles, the driver's purchase profile, and/or the location information, purchase suggestions for the driver; and present, through the user interface, the purchase suggestions for the driver.

Growing community of inventors

Plano, TX, United States of America

Mark Anthony McClung