Classifying routes of travel

Patent metadata

Field	Value
Publication number	US-2016123743-A1
Application number	US-201414530290-A
Country	US
Kind code	A1
Filing date	Oct 31, 2014
Priority date	Oct 31, 2014
Publication date	May 5, 2016
Grant date	—

Abstract

The disclosure includes a method that includes assigning a classification to a travel route followed by a first client device based on data associated with when the first client device followed the travel route. The method may further include recommending the travel route to a second client device based on a request from the second client device for a desired travel route with the classification.

First claim

1 . A method, comprising:
assigning, by a processor-based computing device programmed to perform the assigning, a classification to a travel route followed by a first client device based on data associated with when the first client device followed the travel route; determining that the travel route has been assigned the classification a predetermined number of times; and recommending the travel route to a second client device based on (1) a request from the second client device for a desired travel route with the classification and (2) the determination that the travel route has been assigned the classification the predetermined number of times, wherein the second client device is an onboard computer of a vehicle that is configured to provide the recommended travel route to an operator of the vehicle by causing a user interface of the vehicle to display a map that depicts the recommended travel route so that the recommended travel route is viewable by the operator on the user interface of the vehicle.

2 . The method of claim 1 , further comprising verifying the classification of the travel route based on user data from the user interface.

3 . The method of claim 1 , wherein the data includes sensor data collected by one or more sensors of a second vehicle with which the first client device is associated, wherein the second vehicle is different than the first client device.

4 . The method of claim 1 , wherein the data includes an indication of an emotional state of a person associated with the first client device.

5 . The method of claim 4 , wherein the indication of the emotional state of the person is based on an image of the person and/or biological metrics of the person.

6 . The method of claim 1 , wherein the data includes images of scenes along the travel route followed by the first client device.

7 . The method of claim 6 , wherein the images are captured by one or more sensors of a second vehicle with which the first client device is associated, wherein the second vehicle is different than the first client device.

8 . The method of claim 6 , wherein the images are retrieved from one or more social media collections associated with the first client device.

9 . The method of claim 1 , further comprising:
receiving time synchronicity data associated with when the first client device followed the travel route; and receiving weather data about the travel route that corresponds to the time synchronicity data, wherein the travel route followed by the first client device is classified based on the weather data.

10 . The method of claim 1 , further comprising generating the map, wherein the map indicates one or more travel routes with a desired travel route classification, wherein the recommended travel route is included in the one or more travel routes, and wherein the map indicates how a person associated with the first client device emotionally responded to the one or more travel routes when they traveled on the one or more travel routes at an earlier time.

11 . A system comprising:
one or more processors; and a memory communicatively coupled to the one or more processors, the memory storing instructions that when executed cause the system to:
assigning a classification to a travel route followed by a first client device based on data associated with when the first client device followed the travel route;
generating a map that includes a plurality of travel routes and their assigned classifications as aggregated from a plurality of client devices, wherein the plurality includes the travel route followed by a first client device and its assigned classification; and
recommending the travel route followed by a first client device to a second client device based on a request from the second client device for a desired travel route with the classification, wherein recommending the travel route includes selecting the travel route from the map based on the classification wherein the second client device is an onboard computer of a vehicle that is configured to provide the recommended travel route to an operator of the vehicle.

12 . The system of claim 11 , wherein the instructions further cause the system to verify the classification of the travel route based on user data from a user interface.

13 . The system of claim 11 , wherein the data is based on one or more sensors of a second vehicle of which the first client device is associated, wherein the second vehicle is different than the first client device.

14 . The system of claim 11 , wherein the data includes sensor data collected by one or more sensors of a second vehicle with which the first client device is associated, wherein the second vehicle is different than the first client device.

15 . The system of claim 11 wherein the data includes an indication of an emotional state of a person associated with the first client device.

16 . The system of claim 15 , wherein the indication of the emotional state of the person is based on an image of the person and/or biological metrics of the person

17 . The system of claim 11 , wherein the data includes images of scenes along the travel route followed by the first client device.

18 . The system of claim 17 , wherein the images are captured by one or more sensors of a vehicle with which the first client device is associated.

19 . The system of claim 17 , wherein the images are retrieved from one or more social media collections associated with the first client device.

20 . The system of claim 18 , wherein the instructions further cause the system to:
receive time synchronicity data associated with when the first client device followed the travel route; and receive weather data about the travel route that corresponds to the time synchronicity data, wherein the travel route followed by the first client device is classified based on the weather data.

21 . The system of claim 11 , wherein the instructions further cause the system to provide the map to the second client device.

22 . A non-transitory computer-readable medium having computer instructions stored thereon that are executable by a processing device to perform or control performance of operations comprising:
receive sensor data that includes travel route data of a first client device associated with a vehicle and operator data of an operator of the vehicle as the first client device follows a travel route; determine, based on the operator data, an emotional state of the operator while the operator follows the travel route; correlate, in time based on time synchronicity data describing a universal time shared among the vehicle and the first client device, the travel route data with the emotional state of the operator; and assign a classification to the travel route based on correlation of the travel route data and the emotional state of the operator.

23 . A system, comprising:
a first sensor mounted in a vehicle to record operator data describing an emotional state of an operator of the vehicle; a second sensor mounted in the vehicle to record travel route data describing a scene of a travel route followed by the vehicle; a non-transitory memory communicatively coupled to the first and second sensors, the memory configured to store the operator data, the travel route data and time synchronicity data describing a universal time shared among the vehicle and a fleet of other vehicles, the memory further storing instructions that when executed by a processor cause the sy

Assignees

• Toyota Motor Co Ltd
• Denso Corp

Inventors

• Sisbot Emrah Akin
• Yalla Veera Ganesh
• Martinson Eric
• Nomoto Hirokazu
• Hasegawa Takuya

Classifications

• G06F18/24

  Classification techniques · CPC title

• G01C21/26 Primary

  specially adapted for navigation in a road network · CPC title

• G06V20/40

  in video content (extracting overlay text G06V20/62; video retrieval G06F16/70; processing of video elementary streams in video servers H04N21/234; processing of video elementary streams in video clients H04N21/44) · CPC title

• G01C21/3461 Primary

  Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types or segments such as motorways, toll roads or ferries · CPC title

• G06F16/5866

  using information manually generated, e.g. tags, keywords, comments, manually generated location and time information · CPC title