Toyota Motor North America, Inc.

Felipe G Salles

Christopher J Risberg

Robert D Slater

Jaya Bharath R Goluguri

Joshua C Batie

Shintaro Iwaasa

Louis Brugman

Devang H Parekh

Nutonya Lynn Parker

Joshua V Marasigan

Neil Dutta

Shingo Sugimoto

Andrew L Wells

Senthilkumar Gopal Kalaimani

Ryan T Oehler

An example operation may include one or more of monitoring, by a transport, data related to behavior of an occupant of the transport, determining, by the transport, a mode of the occupant based on the data, and adjusting, by the transport, an environment of the transport based on the mode of the occupant.

Adjustment of environment of transports

An example operation may include providing a value to a transport based on sensor data associated the transport.

Vehicle data sharing with interested parties

An example operation includes one or more of determining, by a server, that a transport is inoperable on a route, instructing, by the server, an alternate transport to navigate to the transport, configuring, by the server, the alternate transport based on a configuration of the transport and routing, by the server, the configured alternate transport to an intended destination of the transport.

Automatic alternate transportation

An example operation includes one or more of traveling, by a first transport, in a first lane, determining, by the first transport, that a speed of a second transport is greater than a speed of the first transport when the second transport is behind the first transport, determining, by the first transport, that no other transports are ahead of the first transport by a first distance in the first lane and beside the first transport by a second distance in a second lane, maneuvering, by the first transport, to the second lane allowing the second transport to pass the first transport in the first lane, and maneuvering, by the first transport, to the first lane when there are no other transports traveling in the first lane at a third distance behind the first transport and at or near the speed of the second transport.

Transport lane usage

An example operation may include one or more of detecting a potential event via sensors on a transport, sending data related to the potential event to other transports within a predefined distance, storing the data at the transports and a server, and performing a transport operation response on the transports.

Vehicle-to-vehicle sensor data sharing

An example operation includes one or more of obtaining, by a moving vehicle, a first data including one or more of at least one first video and at least one first image of a moving transport, analyzing the first data, by the moving vehicle, to determine an initial issue, querying, by the moving vehicle, a server for a second data based on the analyzing, wherein the second data is one or more of at least one second video and at least one second image of the moving transport at a previous time, verifying, by the moving vehicle, an issue exists based on a delta above a threshold between the first data and the second data, and sending, by the moving vehicle, the verified issue to the server.

Motion-based transport assessment

An example operation may include one or more of receiving, at a server, sensor data from one or more sensors disposed on a vehicle, receiving, at the server, additional sensor data from a computing device operating inside the vehicle, determining the sensor data and the additional sensor data correspond to the vehicle's operational status, determining whether one or more of the sensor data and the additional sensor data exceed one or more thresholds, and when one or more of the sensor data and the additional sensor data exceed the one or more thresholds, providing a value to the vehicle.

An example operation includes one or more of detecting, by a server, a target transport operating in an unsafe manner, locating, the by the server, at least one autonomous transport in front of the target transport, and maneuvering the at least one autonomous transport to affect the target transport.

Control of transport en route

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 includes one or more of detecting, by a processor of a transport, an exit on a road, calculating, by the processor of the transport, a probability that the transport is not prepared to exit, requesting, by the processor of the transport, at least one other transport proximate to the transport to alter its speed if the probability exceeds a threshold, and responsive to a detecting of an altering of the speed by the at least one other transport, triggering the transport to exit the road.

Safety of transport maneuvering

An example operation includes one or more of receiving, via a transport, a transport audio, classifying, via the transport, a subset of the transport audio as an atypical transport audio, determining, via the transport, a possible source location of the atypical transport audio, transmitting, via the transport, the atypical transport audio and the possible source location to a server, determining, via the server, a set of potential causes of the atypical transport audio and receiving, via the transport, the set of potential causes of the atypical transport audio.

Automatic warning of atypical audio indicating a transport event

An example operation may include one or more of receiving, by a device, from at least one data source, data related to an occupant of a transport, determining, by the device, a destination of the occupant based on the data related to the occupant, determining, by the device, a departure time of the occupant based on the destination, requesting, by the device, a transport at a location of the occupant at the departure time, and adjusting, by the device, an environment of the transport based on the data related to the occupant and the destination.

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Garland, TX, United States of America

Felipe G Salles