Traffic pattern detection for creating a simulated traffic zone experience

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.

What is claimed is: 
     
         1 . A method, comprising:
 in response to determining that a vehicle has entered a warning zone surrounding a traffic zone, generating, by network equipment comprising a processor, 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 in which the vehicle is predicted to traverse the traffic zone, based on air pollution data associated with roads in the traffic zone; and   sending, by the network equipment, the simulated virtual experience data to a user equipment associated with the vehicle for presentation of a simulated virtual experience via the user equipment.   
     
     
         2 . The method of  claim 1 , wherein the sending comprises sending the simulated virtual experience data to the user equipment prior to the vehicle entering the traffic zone. 
     
     
         3 . The method of  claim 1 , wherein generating the simulated virtual experience data comprises generating the simulated virtual experience data further based on predicted traffic data of the traffic zone during the predicted time range. 
     
     
         4 . The method of  claim 1 , wherein generating the simulated virtual experience data comprises generating the simulated virtual experience data further based on historical traffic data representative of historical traffic in the traffic zone. 
     
     
         5 . The method of  claim 1 , wherein the simulated virtual experience data corresponds to a three-dimensional presentation. 
     
     
         6 . The method of  claim 1 , further comprising receiving, by the network equipment, the air pollution data from roadside units in the traffic zone. 
     
     
         7 . The method of  claim 1 , wherein generating the simulated virtual experience data comprises generating the simulated virtual experience data further based on an output from a machine learning model. 
     
     
         8 . A user equipment, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 in response to a vehicle associated with the user equipment being determined to have entered a warning zone surrounding a traffic zone, receiving 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 in which the vehicle is determined to be threshold likely to traverse the traffic zone, based on air pollution data associated with roads in the traffic zone; and 
 presenting a virtual display of the predicted interaction experience based on the simulated virtual experience data. 
   
     
     
         9 . The user equipment of  claim 8 , wherein the presenting comprises presenting the virtual display of the predicted interaction experience prior to the vehicle entering the traffic zone. 
     
     
         10 . The user equipment of  claim 8 , wherein the simulated virtual experience data was generated based on predicted traffic data of the traffic zone during the predicted time range. 
     
     
         11 . The user equipment of  claim 8 , wherein the simulated virtual experience data was generated based on historical traffic data describing historical traffic in the traffic zone. 
     
     
         12 . The user equipment of  claim 8 , wherein the virtual display comprises a three-dimensional display. 
     
     
         13 . The user equipment of  claim 8 , where the air pollution data is generated from roadside units in the traffic zone. 
     
     
         14 . The user equipment of  claim 8 , wherein the user equipment is an integrated part of the vehicle. 
     
     
         15 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of a user equipment, facilitate performance of operations, comprising:
 in response to a vehicle associated with the user equipment entering a warning zone surrounding a traffic zone, obtaining 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 within which the vehicle will traverse the traffic zone, based on air pollution data associated with roads in the traffic zone; and   displaying a virtual presentation of the predicted interaction experience based on the simulated virtual experience data.   
     
     
         16 . The non-transitory machine-readable medium of  claim 15 , wherein the obtaining comprises obtaining the simulated virtual experience data prior to the vehicle entering the traffic zone. 
     
     
         17 . The non-transitory machine-readable medium of  claim 15 , wherein the simulated virtual experience data is based on predicted air pollution of the traffic zone during the predicted time range. 
     
     
         18 . The non-transitory machine-readable medium of  claim 15 , wherein the simulated virtual experience data is based on predicted traffic data of the traffic zone during the predicted time range. 
     
     
         19 . The non-transitory machine-readable medium of  claim 15 , wherein the virtual presentation comprises a virtual reality three-dimensional presentation. 
     
     
         20 . The non-transitory machine-readable medium of  claim 15 , where the air pollution data is generated from sensor data output by sensors of roadside units in the traffic zone.