Traffic monitoring, analysis, and prediction

Abstract

One or more devices obtain traffic data, such as video from intersection cameras. The one or more devices perform object detection and classification using the data. The one or more devices determine and/or output structured data using the detected and classified objects. The one or more devices calculate metrics using the structured data. The one or more devices may prepare processed data for visualization and/or other uses. The one or more devices may present the prepared processed data via one or more dashboards and/or otherwise use the prepared processed data.

What is claimed is: 
     
         1 . A system for traffic monitoring, analysis, and prediction, comprising:
 a memory allocation configured to store at least one executable asset; and   a processor allocation configured to access the memory allocation and execute the at least one executable asset to instantiate at least one service that:
 obtains traffic data; 
 performs object detection and classification; 
 determines structured data; 
 calculates metrics using the structured data; 
 prepares processed data for visualization from the metrics; and 
 presents the prepared processed data via at least one dashboard. 
   
     
     
         2 . The system of  claim 1 , wherein the at least one service determines the structured data by:
 determining a frame number for a frame of video;   determining an intersection identifier for the frame of video;   assigning a unique tracker identifier to each object detected in the frame of video; and   determining coordinates of each object detected in the frame of video.   
     
     
         3 . The system of  claim 2 , wherein the at least one service further determines the structured data by determining a class of each object detected in the frame of video. 
     
     
         4 . The system of  claim 1 , wherein the at least one service calculates the metrics using the structured data by calculating a difference between one or more x or y positions for an object in different frames of video. 
     
     
         5 . The system of  claim 4 , wherein the at least one service uses the difference along with times respectively associated with the different frames to calculate at least one of the metrics that is associated with a speed of the object. 
     
     
         6 . The system of  claim 5 , wherein the speed is an average speed of the object during the video or a cumulative speed of the object. 
     
     
         7 . The system of  claim 1 , wherein the at least one service calculates the metrics using the structured data by correlating a traffic light phase determined for a frame of video along with a determination that an object arrived at an intersection in the frame. 
     
     
         8 . A system for traffic monitoring, analysis, and prediction, comprising:
 a memory allocation configured to store at least one executable asset; and   a processor allocation configured to access the memory allocation and execute the at least one executable asset to instantiate at least one service that:
 retrieves structured data determined from point cloud data from LiDAR sensors used to monitor traffic; 
 calculates metrics using the structured data; 
 prepares processed data for visualization from the metrics; and 
 presents the prepared processed data via at least one dashboard. 
   
     
     
         9 . The system of  claim 8 , wherein the metrics include at least one of:
 vehicle volume;   average speed;   distance travelled;   pedestrian volume;   non-motor volume;   light status on arrival;   arrival phase;   a route through an intersection; or   a light time.   
     
     
         10 . The system of  claim 8 , wherein the at least one service summons at least one vehicle using at least one of the metrics or the processed data. 
     
     
         11 . The system of  claim 8 , wherein the at least one service tracks near misses/collisions using at least one of the metrics or the processed data. 
     
     
         12 . The system of  claim 8 , wherein the at least one service determines a fastest route using at least one of the metrics or the processed data. 
     
     
         13 . The system of  claim 8 , wherein the at least one service controls traffic signals to prioritize traffic using at least one of the metrics or the processed data. 
     
     
         14 . The system of  claim 8 , wherein the at least one service determines a most efficient route using at least one of the metrics or the processed data. 
     
     
         15 . A system for traffic monitoring, analysis, and prediction, comprising:
 a memory allocation configured to store at least one executable asset; and   a processor allocation configured to access the memory allocation and execute the at least one executable asset to instantiate at least one service that:
 constructs a digital twin of an area of interest; 
 retrieves structured data determined from traffic data for the area of interest; 
 calculates metrics using the structured data; 
 prepares processed data for visualization from the metrics; and 
 presents the prepared processed data in a context of the digital twin via at least one dashboard that displays the digital twin. 
   
     
     
         16 . The system of  claim 15 , wherein the at least one service simulates traffic via the at least one dashboard using the processed data. 
     
     
         17 . The system of  claim 16 , wherein the at least one service simulates how a change affects traffic patterns. 
     
     
         18 . The system of  claim 17 , wherein the change alters at least one of a simulation of:
 the traffic;   a traffic signal; or   a traffic condition.   
     
     
         19 . The system of  claim 15 , wherein the digital twin includes multiple intersections. 
     
     
         20 . The system of  claim 19 , wherein the at least one dashboard includes indicators selectable to display information for each of the multiple intersections.