Toyota Motor North America, Inc.

Toyota Motor Engineering & Manufacturing North America, Inc.

Nutonya Lynn Parker

Christopher J Risberg

Louis Brugman

Felipe G Salles

Devang H Parekh

Robert D Slater

Shintaro Iwaasa

Evan A Vijithakumara

James H Kikuma

Eric Randell Schmidt

Anil Nagpal

Emily S Lerner

Randall Mason Harris

Mathew D Gardner

Alex Pham

Michael C Edwards

Alexander T Pham

Gunnar Heinisch

Jacob Ryan Morrow

Ashok Ramadass

Kotaro Hashimoto

Jerry R Tipper

Randall M Harris

Mohan Kusgur

Ratan Kumar Gone

Robert Douglas

Sriranjan Tadimari

An example operation may include one or more of identifying a target device has entered a transport and has initiated a transport event at a target location, applying permissions, associated with the target device, to the transport event, determining a transport event modification has occurred, when the transport has stopped moving for a predetermined period of time and one or more transport operations have occurred, prior to arriving at a transport event destination, determining whether the permissions permit the transport event modification, and notifying one or more registered devices associated with the target device of the transport event modification.

Managing transport occupants during transport events

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 may include one or more of assigning a fractional ownership of a transport, receiving, at a server, sensor data associated with one or more of the transport and a device proximate to the transport, determining a condition of the transport, based on the sensor data, updating the fractional ownership of the transport based on the condition, and providing a responsibility based on the fractional ownership.

Transport sharing and ownership among multiple entities

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 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 receiving a request from a requesting device to initiate a transport to perform a transport event at a target location, identifying the transport to perform the transport event, identifying a target device associated with the transport event is located at the target location, receiving location updates of the transport and the target device at a server, determining the transport has initiated the transport event based on the location updates of the transport, determining the target device and the transport are proximate to one another based on the location updates, and monitoring the location updates to identify whether the transport has deviated from a target travel path area.

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 applying a user profile to one or more transports and a transport management database, monitoring user requirements and user usage of the one or more transports over a period of time, identifying a plurality of transport profiles stored in a transport availability pool of the transport management database, identifying a proposed fractional ownership of one or more of a plurality of transports identified in the transport availability pool based on the monitored user requirements and user usage of the one or more transports, and providing the proposed fractional ownership of the one or more of a plurality of transports identified in the transport availability pool to a user device associated with the user.

An example operation includes one or more of determining, via a server, a dangerous area on a route of a transport, wherein the dangerous area is based on a new condition of an area, sending a notification to the transport, via the server, of the dangerous area and the new condition and performing, via the transport, at least one atypical action to traverse the dangerous area until a resolution of the new condition occurs, wherein the atypical action comprises one or more movements that do not typically occur on or around the dangerous area.

Automatic warning of navigating towards a dangerous area or event

An example operation includes one or more of determining automatically, by a processor based on data received from at least one sensor on a transport, a driving behavior associated with an operator of the transport over at least one first period of time as the operator's normal driving behavior, determining automatically by the processor a difference between the operator's normal driving behavior and a second driving behavior currently occurring over a second period of time as the operator's current driving behavior, and in the case the difference between the operator's normal driving behavior and the operator's current driving behavior indicates the operator's current driving behavior is unsafe, automatically guiding at least one of the operator and the transport to operate the transport in a safe driving behavior.

Transport safety

Methods, systems, and apparatus for an event navigation system. The event navigation system includes a sensor configured to monitor traffic flow within a first structure. The event navigation system includes a memory configured to store a map of the first structure. The event navigation system includes a processor coupled to the sensor and the memory. The processor is configured to obtain a current location of a user and a destination location for the user. The processor is configured to determine a route from the current location to the destination location based on the map of the first structure, the current location, the destination location and the traffic flow within the first structure. The processor is configured to provide the route to the user.

Using big data to navigate vehicles at large events

According to various embodiments of the disclosed technology, a vehicle may detect impaired drivers of other vehicles. In some embodiments, a first vehicle, comprises a hardware processor; and a non-transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform a method to determine whether a driver of a second vehicle is impaired, the method comprising: collecting information concerning the second vehicle from one or more sensors mounted on the first vehicle; determining a driving behavior of a driver of the second vehicle based on the information collected by the first vehicle; comparing the determined driving behavior of the driver of the second vehicle with a baseline driving behavior; determining whether the driver of the second vehicle is impaired based on the comparing; and taking one or more actions responsive to determining that the driver of the second vehicle is impaired.

Vehicle for detection of impaired drivers of other vehicles

Methods, systems, and apparatus for a route optimization system. The route optimization system includes a sensor configured to detect a location of one or more pedestrians. The route optimization system includes a processor. The processor is coupled to the sensor and configured to obtain a start location and a destination location for a vehicle or a personal device. The processor is configured to determine pedestrian traffic flow between the start location and the destination location based on the location of the one or more pedestrians. The processor is configured to determine multiple routes between the start location and the destination location and determine an optimal route based on the pedestrian traffic flow. The processor is configured to provide the optimal route to a user.

Growing community of inventors

Dallas, TX, United States of America

Nutonya Lynn Parker