Toyota Motor North America, Inc.

Neil Dutta

Anil Nagpal

Michael C Edwards

Senthilkumar Gopal Kalaimani

Andrew L Wells

Joshua C Batie

Felipe G Salles

Robert D Slater

Shintaro Iwaasa

Shingo Sugimoto

Joshua V Marasigan

Ryan T Oehler

Aghyad Saleh

Jason Schell

Gopal Kalaimani Senthilkumar

Ryan Wheeler

Emily S Lerner

Mathew D Gardner

Mark Anthony McClung

Hazem Ahmed

David M Goemer

Walter Accessor

Ashok Ramadass

Anil R Nair

An example operation may include one or more of querying, by a transport, a plurality of transports within a range of an accident location, receiving, by the transport, agreements to access profiles of the plurality of transports on a storage, and responsive to the profiles containing video data associated with the accident location, linking the video data to a profile of the transport.

Providing video evidence

An example operation may include one or more of receiving, by a server, an accident report from a transport, accessing, by a server, at least one media file associated with the report on a remote storage, analyzing, by the server, the media file to assess a damage to the transport, and storing the damage assessment onto the remote storage.

Analysis of transport damage

An example operation may include one or more of receiving, at a server, first data from at least one sensor associated with a transport wherein the first data contains at least one condition of the transport, receiving a second data from the server and the second data contains at least one review of a user, determining a rating of the user based on the first data and the second data, receiving a query from another server relating to the rating of the user, sending a response containing the rating, and performing an action, by the another server, based on the rating.

Identifying changes in the condition of a transport

An example operation may include one or more of detecting, by a transport, a potential damage event, recording, by the transport, a first media file via at least one sensor on the transport, accessing, by the transport, a second media file on at least one other transport within a predefined distance of the transport, analyzing, by the transport, the first media file and the second media file to identify portions that correlate to the potential damage event, and determining an actual damage event has occurred based on the analysis.

An example operation may include one or more of receiving, by an accident processing node, an accident report from a transport, determining, by an accident processing node, a time and location parameters of the accident based on the report, querying, by an accident processing node, transport profiles on a storage based on the time and location parameters, and responsive to the transport profiles containing data corresponding to the time and location parameters, sending a request to access the transport profiles.

Processing of accident report

An example operation may include one or more of receiving, by an accident processing node, an accident report generated by a transport, retrieving, by the accident processing node, a time and a location of the accident from the accident report, querying, by the accident processing node, a plurality of transport profiles on a storage based on the time and the location of the accident, and retrieving video data associated with the time and the location of the accident from the plurality of the transport profiles.

Video accident reporting

An example operation may include one or more of requesting, by a processor of a device, permissions to provide access to a transport to a diagnostic location from a network of a plurality of diagnostic locations, in response to receiving the permissions from the network of the plurality of the diagnostic locations, authenticating the diagnostic location, by the device, providing a pre-stored one-time access key to the transport to the diagnostic location, and receiving, by the device, diagnostics from the diagnostic location.

Remote access of transports

An example operation may include one or more of identifying a new condition of a transport during a transport event based on sensor data, retrieving a transport condition profile, comparing the new condition to an initial condition of the transport, stored prior to the transport event, in the transport condition profile, and determining the transport is damaged based on the comparing.

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

Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.

Micro-weather reporting

Methods and systems for maintaining telematics data. The system includes a standard vehicle. The standard vehicle includes one or more sensors configured to detect telematics data, a memory configured to store a blockchain associated with the standard vehicle, an electronic control unit (ECU) configured to update the blockchain associated with the standard vehicle with the detected telematics data, and a transceiver configured to communicate the blockchain to one or more other vehicles. The system also includes a collection vehicle. The collection vehicle includes a transceiver configured to receive the blockchain from the standard vehicle, and communicate the blockchain from the standard vehicle to a network to update a distributed record of the blockchain associated with the standard vehicle.

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Addison, TX, United States of America

Neil Dutta