Methods for dynamically identifying loads for a trucker

Abstract

Systems and methods are disclosed for truck load fulfillment by tracking geographical location of a device of a truck driver relative to a point of interest for each truck load; matching the geographical location of the device to a category of interest associated with the truck driver; sending a notification to the device of a nearby position of the load, the nearby position of the load related to the category of interest, the notification sent in response to proximity of the geographical location of the device relative to the position of the load.

What is claimed is: 
     
         1 . A computer-implemented truck load fulfillment method, comprising:
 tracking geographical location of a device of a truck driver relative to a point of interest for each truck load;   matching the geographical location of the device to a category of interest associated with the truck driver;   sending a notification to the device of a nearby position of the load, the nearby position of the load related to the category of interest, the notification sent in response to proximity of the geographical location of the device relative to the position of the load; and   utilizing a processor that executes instructions stored in memory to perform at least one of the acts of tracking, matching, or sending.   
     
     
         2 . The method of  claim 1 , further comprising specifying the category of interest manually or learning the category of interest automatically. 
     
     
         3 . The method of  claim 1 , further comprising applying geo-fencing to trigger proximity of the truck driver device to the position of the load. 
     
     
         4 . The method of  claim 1 , further comprising automatically discovering new loads or points of interest in proximity to the truck driver device based on a detected change in the geographical location of the truck driver device. 
     
     
         5 . The method of  claim 1 , further comprising creating and updating a repository that includes the category of interest in association with the truck driver device, geolocation information for movable points of interest, temporary points of interest, and new points of interest. 
     
     
         6 . The method of  claim 1 , further comprising discovering a position of the load based on an implicit query. 
     
     
         7 . The method of  claim 1 , further comprising creating and presenting a list of points of interest on the truck driver device as the notification to the truck driver and for truck driver interaction. 
     
     
         8 . The method of  claim 1 , comprising matching truck stops, parking, rest areas, weigh stations with the geographical location. 
     
     
         9 . The method of  claim 1 , comprising aggregating crowd-sourced information on truck stops, parking, rest areas, weigh stations near the geographical location. 
     
     
         10 . The method of  claim 1 , comprising uploading the geographical location of the device to a market place. 
     
     
         11 . A transportation system, comprising:
 a server running a truck market place;   a mobile device in a truck coupled to the server, the mobile device including memory storing code for:
 tracking geographical location of a device of a truck driver relative to a point of interest for each truck load; 
 matching the geographical location of the device to a category of interest associated with the truck driver; 
 sending a notification to the device of a nearby position of the load, the nearby position of the load related to the category of interest, the notification sent in response to proximity of the geographical location of the device relative to the position of the load. 
   
     
     
         12 . The system of  claim 11 , further comprising code for specifying the category of interest manually or learning the category of interest automatically. 
     
     
         13 . The system of  claim 11 , further comprising code for applying geo-fencing to trigger proximity of the truck driver device to the position of the load. 
     
     
         14 . The system of  claim 11 , further comprising code for automatically discovering new loads or points of interest in proximity to the truck driver device based on a detected change in the geographical location of the truck driver device. 
     
     
         15 . The system of  claim 11 , further comprising code for creating and updating a repository that includes the category of interest in association with the truck driver device, geolocation information for movable points of interest, temporary points of interest, and new points of interest. 
     
     
         16 . The system of  claim 11 , further comprising code for discovering a position of the load based on an implicit query. 
     
     
         17 . The system of  claim 11 , further comprising code for creating and presenting a list of points of interest on the truck driver device as the notification to the truck driver and for truck driver interaction. 
     
     
         18 . The system of  claim 11 , comprising code for matching truck stops, parking, rest areas, weigh stations with the geographical location. 
     
     
         19 . The system of  claim 11 , comprising code for aggregating crowd-sourced information on truck stops, parking, rest areas, weigh stations near the geographical location. 
     
     
         20 . The system of  claim 11 , comprising code for uploading the geographical location of the device to a market place. 
     
     
         21 . The system of  claim 11 , wherein the mobile device comprises one of smart phones, tablets, smart-watches, or geolocation tracking in the truck. 
     
     
         22 . The system of  claim 11 , comprising a communication system including cellular, WiFi, WiMax, or low earth orbit satellite network.