Systems and methods of connected driving based on dynamic contextual factors

Patent metadata

Field	Value
Publication number	US-11994403-B2
Application number	US-202217980778-A
Country	US
Kind code	B2
Filing date	Nov 4, 2022
Priority date	Sep 3, 2019
Publication date	May 28, 2024
Grant date	May 28, 2024

Abstract

Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. A system includes one or more sensors, coupled to a vehicle and configured to detect sensor information, and a computing device configured to communicate with one or more mobile sensors to receive the mobile sensor information, communicate with the one or more sensors to receive the sensor information, and analyze the sensor information and the mobile sensor information to identify one or more risk factors.

First claim

What is claimed is:

1. A system comprising:
a computing device in signal communication with one or more sensors coupled to a vehicle, the one or more sensors configured to detect sensor information, wherein the computing device comprises:
a processor; and
memory storing instructions that, when executed by the processor, cause the computing device to:
receive the sensor information detected by the one or more sensors;
communicate with a mobile device to receive mobile information;
generate a recommendation corresponding to one or more dynamic risk values, the one or more dynamic risk values are based on the sensor information and the mobile information, and the recommendation includes a risk map that presents an assessment of anticipated future risk in a predefined future amount of time; and
cause the recommendation including the risk map to be displayed at an interface of the mobile device.

2. The system of claim 1 , wherein causing the recommendation to be displayed at the interface of the mobile device includes transmitting the recommendation to the mobile device and instructing the mobile device to display the recommendation.

3. The system of claim 1 , wherein the risk map depicts an assessment of risk based on a traffic condition or a weather condition.

4. The system of claim 3 , wherein the one or more dynamic risk values are based on at least one of a driver attention index or an internal distraction index.

5. The system of claim 1 , wherein the predefined future amount of time is 30 seconds.

6. The system of claim 1 , wherein the risk map includes a visual output representing a segment of road or route being traveled by the vehicle.

7. The system of claim 6 , wherein the visual output includes a video representing the recommendation.

8. The system of claim 6 , wherein the visual output includes a hologram representing the recommendation.

9. The system of claim 1 , wherein the instructions, when executed by the processor, further cause the computing device to generate an update for the risk map responsive to the sensor information.

10. The system of claim 9 , wherein the sensor information on which the update is based includes at least one of speed data indicating a speed of the vehicle or odometer data indicating a distance traveled by the vehicle.

11. The system of claim 1 , wherein determining the one or more dynamic risk values associated with operation of the vehicle includes determining, based on the sensor information and the mobile information, at least one of:
a tailgating risk index;
a road frustration index based on a number of vehicles in front of the vehicle; or
a lane keeping index.

12. A method comprising:
collecting sensor information originating from one or more sensors associated with a vehicle;
collecting mobile information originating from a mobile device associated with an occupant in the vehicle;
generating a recommendation corresponding to one or more dynamic risk values, the one or more dynamic risk values are based on the sensor information and the mobile information, and the recommendation includes a risk map;
causing the recommendation including the risk map to be displayed at an interface of the mobile device; and
causing the mobile device to generate an update for the risk map responsive to the sensor information, the update is based on odometer data indicating a distance traveled by the vehicle.

13. The method of claim 12 , wherein the recommendation causes one or more features of the mobile device to be enabled or disabled based on the one or more dynamic risk values.

14. The method of claim 13 , further comprising detecting, based on the sensor information, a traffic intersection, wherein causing the one or more features to be disabled is based on detecting the traffic intersection.

15. The method of claim 14 , wherein detecting the traffic intersection includes using the sensor information to determine a traffic light status.

16. The method of claim 15 , further comprising:
generating, based on detecting the traffic intersection, a countdown clock; and
causing the one or more features to be disabled in response to expiration of the countdown clock.

17. A computer-readable storage device storing instructions that, when executed by one or more processors, performs steps including:
receive sensor information associated with operation of a vehicle;
receive, from a mobile device, mobile information associated with operation of the vehicle;
generate a recommendation corresponding to one or more dynamic risk values associated with the operation of the vehicle based on the sensor information and the mobile information, the recommendation including a presentation of a safe route;
transmit, using a wireless communication interface, the recommendation to the mobile device;
cause the recommendation including the presentation of the safe route to be presented at a user interface of the mobile device; and
cause a floor of the vehicle or a seat of the vehicle to vibrate to indicate the recommendation.

18. The computer-readable storage device of claim 17 , wherein, causing the recommendation to be presented at the user interface also causes the mobile device to vibrate.

19. The computer-readable storage device of claim 17 , wherein causing the floor of the vehicle or the seat of the vehicle to vibrate to indicate the recommendation is responsive to identifying that a risk is located at a front of the vehicle.

20. The computer-readable storage device of claim 17 , wherein the instructions, when executed by the one or more processors, further performs steps including causing a back of the seat of the vehicle to vibrate to identify that a risk is located at a rear of the vehicle.

Assignees

• Allstate Insurance Co

Inventors

• Hayes Howard
• Chintakindi Sunil
• Gibson Tim

Classifications

• 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

• B60W30/0953

  the prediction being responsive to vehicle dynamic parameters · CPC title

• B60W40/04

  Traffic conditions · CPC title

• B60W40/06

  Road conditions · CPC title

• B60W40/08

  related to drivers or passengers · CPC title