Traffic pattern detection for creating a simulated traffic zone experience

Patent metadata

Field	Value
Publication number	US-11495124-B2
Application number	US-201916692441-A
Country	US
Kind code	B2
Filing date	Nov 22, 2019
Priority date	Nov 22, 2019
Publication date	Nov 8, 2022
Grant date	Nov 8, 2022

Abstract

The described technology is generally directed towards generating a simulated virtual experience that represents predicted interaction of a user/vehicle with traffic in a traffic zone. A user who is considering entering a traffic zone (e.g., that charges a fee for usage) can request a simulated virtual experience of what is likely to occur if the user decides to enter. Based on the simulated virtual experience, which can be a graphical visualization in 3D, the user can make an informed decision as to whether to enter and pay, or not enter. User-specific data such as user preferences and other provided criterion can be used with respect to generating the simulated virtual experience. For current users about to enter the zone, current traffic data is used along with historical data in generating the simulated virtual experience.

First claim

What is claimed is:

1. A system, comprising:
a processor; and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising:
obtaining user-specific data for a user identity associated with a vehicle;
obtaining time-based traffic data associated with a traffic zone that comprises a warning zone surrounding the traffic zone;
in response to the vehicle entering the warning zone, generating simulated virtual experience data, corresponding to a predicted interaction experience of the vehicle with traffic and air pollution in the traffic zone during a predicted time range that the vehicle will traverse the traffic zone, based on the user-specific data and the time-based traffic data, wherein the time-based traffic data comprises air pollution data associated with roads in the traffic zone; and
communicating the simulated virtual experience data to a device for presentation of a simulated virtual experience to the user identity.

2. The system of claim 1 , wherein the obtaining the time-based traffic data comprises receiving reduced data from a traffic sensor.

3. The system of claim 2 , wherein the operations further comprise, embedding modeling data that is based on historical traffic data, in the traffic sensor, to facilitate the receiving the reduced data from the traffic sensor.

4. The system of claim 1 , wherein the time-based traffic data comprises current data that is processed to obtain the simulated virtual experience data relative to a current time.

5. The system of claim 1 , wherein the time-based traffic data comprises historical data that is processed to obtain the simulated virtual experience data relative to the predicted time range.

6. The system of claim 1 , wherein the user-specific data comprises information directed to avoidance of other traffic.

7. The system of claim 1 , wherein the user-specific data comprises information directed to avoidance of: a type of traffic or an air pollution level.

8. The system of claim 1 , wherein the operations further comprise predicting, based on the user-specific data and the time-based traffic data, estimated pricing data corresponding to the simulated virtual experience, and outputting the estimated pricing data.

9. The system of claim 1 , wherein the operations further comprise issuing a credit to the user identity in response to the simulated virtual experience differing by a threshold criterion from an actual experience in the traffic zone.

10. The system of claim 1 , wherein the presenting the simulated virtual experience occurs in response to a triggering rule being satisfied.

11. The system of claim 1 , wherein the user-specific data comprises a variable parameter corresponding to a traffic zone discount.

12. The system of claim 1 , wherein the user-specific data comprises a variable parameter corresponding to at least one of: user identity information, carpool eligibility or urgency information.

13. The system of claim 1 , wherein the operations further comprise guiding the user identity to a desired route relative to the traffic based on the user-specific data.

14. A method, comprising:
in response to a vehicle entering a warning zone surrounding a congestion pricing zone, communicating, by a device comprising a processor, user-specific data to a traffic service;
receiving, by the device, simulated virtual experience data generated by the traffic service based on the user-specific data and time-based traffic data, wherein the simulated virtual experience data is based on a predicted time that the vehicle will enter the congestion pricing zone, and wherein the simulated virtual experience data comprises air pollution data associated with areas in the congestion pricing zone; and
presenting, by the device, based on the simulated virtual experience data, a virtual experience corresponding to a predicted future experience of the vehicle with traffic and air pollution in the congestion pricing zone.

15. The method of claim 14 , wherein the presenting the virtual experience comprises outputting a three-dimensional visual rendering to a display device.

16. The method of claim 14 , wherein the presenting the virtual experience comprises outputting a visual rendering to a display device, and wherein the visual rendering is sped up relative to the predicted future experience.

17. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor facilitate performance of operations, the operations comprising:
obtaining current traffic data associated with a traffic zone for a vehicle that is determined to have entered a warning zone associated with the traffic zone;
generating simulated virtual experience data based on the current traffic data, wherein the simulated virtual experience data comprises air pollution data associated with traffic in the traffic zone; and
communicating the simulated virtual experience data to a wireless device associated with the vehicle for presenting a simulated virtual experience corresponding to a predicted interaction between the vehicle and predicted traffic and air pollution in the traffic zone during a predicted time range that the vehicle will occupy the traffic zone.

18. The non-transitory machine-readable medium of claim 17 , wherein the operations further comprise receiving user-specific data, and determining predicted billing data based on the user-specific data and the simulated virtual experience data.

19. The non-transitory machine-readable medium of claim 17 , wherein the operations further comprise, embedding modeling data that is based on historical traffic data, in a traffic sensor, and wherein the obtaining the current traffic data comprises receiving reduced data that is filtered or classified via the modeling data from the traffic sensor.

20. The non-transitory machine-readable medium of claim 17 , wherein the generating the simulated virtual experience data based on the current traffic data comprises generating three-dimensional visual rendering data.

Assignees

• At & T Ip I Lp
• At & T Mobility Ii Llc

Inventors

• Lau Erie Lai Har
• Hussaini Reza Hussain
• Susanto Hendrawan

Classifications

• G08G1/0112 Primary

  from the vehicle, e.g. floating car data [FCD] · CPC title

• G08G1/0129

  for creating historical data or processing based on historical data · CPC title

• G08G1/0133

  for classifying traffic situation · CPC title

• G08G1/096775

  where the origin of the information is a central station · CPC title

• G08G1/207

  with respect to certain areas, e.g. forbidden or allowed areas with possible alerting when inside or outside boundaries · CPC title