Entity location management using vehicle logistics information

Abstract

Physical location information for a specified user is corrected according to vehicle location and trajectory analysis. Vehicles, such as delivery vehicles, produce physical location information for the vehicle during delivery events to the specified user and a surrounding physical area. The physical location information for the vehicle is accessed to correct erroneous physical location information for the specified user.

What is claimed is: 
     
         1 . A method comprising:
 identifying a first location data set including a first proposed physical location of a first entity;   receiving a set of vehicle location data including a set of vehicle locations over time generated during traversal of a service route that includes a first service stop at a first known physical location of the first entity;   analyzing the set of vehicle location data to determine a vehicle location during the service stop;   determining a deviation value based, at least in part, on a variation between the first proposed physical location of the first entity and the vehicle location during the service stop;   responsive to the deviation value exceeding a threshold deviation value, designating the first location data set as an incorrect location data set; and   reporting the incorrect location data set for a corrective action;   wherein:   at least the analyzing, determining, and labelling actions are performed by computer software running on computer hardware.   
     
     
         2 . The method of  claim 1 , wherein the service route is made up of road segments to be traversed by a service vehicle. 
     
     
         3 . The method of  claim 1 , wherein analyzing the set of vehicle location data includes:
 computing a confidence level for a trajectory of a service vehicle over the service route;   wherein:   the confidence level is based at least in part on the set of vehicle location data for the service vehicle having a same trajectory traversed by the service vehicle multiple times; and   the confidence level reflects a degree to which the trajectory of the service vehicle supports a strong correlation between a set of service stop locations and a corresponding physical location.   
     
     
         4 . The method of  claim 3 , further comprising:
 generating a corrected location data set based, at least in part, on the incorrect location data set and the trajectory of the service vehicle;   wherein:   the confidence level of the trajectory of the service vehicle meets a threshold confidence level that triggers the generating a corrected location data set action.   
     
     
         5 . The method of  claim 4 , further comprising:
 verifying the corrected location data set as being accurate according to the threshold deviation value based, at least in part, on a new variation between the corrected location data set and a vehicle location during a subsequent service stop.   
     
     
         6 . The method of  claim 1 , further comprising:
 identifying a second location data set including a second proposed physical location of a second entity;   deriving a delivery sequence data set from the set of vehicle location data including the first service stop and a second service stop at a second known physical location of the second entity; and   computing a route distance between the first service stop and the second service stop;   wherein:   the deviation value is further based, at least in part, on the variation between the route distance and a proposed distance between the first and the second proposed physical locations.   
     
     
         7 . The method of  claim 1 , wherein the set of vehicle location data is collected from a global positioning system (GPS) at the location of a service vehicle on which the set of vehicle location data is based. 
     
     
         8 . A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:
 identifying a first location data set including a first proposed physical location of a first entity;   receiving a set of vehicle location data including a set of vehicle locations over time generated during traversal of a service route that includes a first service stop at a first known physical location of the first entity;   analyzing the set of vehicle location data to determine a vehicle location during the service stop;   determining a deviation value based, at least in part, on a variation between the first proposed physical location of the first entity and the vehicle location during the service stop;   responsive to the deviation value exceeding a threshold deviation value, designating the first location data set as an incorrect location data set; and   reporting the incorrect location data set for a corrective action.   
     
     
         9 . The computer program product of  claim 8 , wherein the service route is made up of road segments to be traversed by a service vehicle. 
     
     
         10 . The computer program product of  claim 8 , wherein analyzing the set of vehicle location data includes:
 computing a confidence level for a trajectory of a service vehicle over the service route;   wherein:   the confidence level is based at least in part on the set of vehicle location data for the service vehicle having a same trajectory traversed by the service vehicle multiple times; and   the confidence level reflects a degree to which the trajectory of the service vehicle supports a strong correlation between a set of service stop locations and a corresponding physical location.   
     
     
         11 . The computer program product of  claim 10 , wherein the method further comprises:
 generating a corrected location data set based, at least in part, on the incorrect location data set and the trajectory of the service vehicle;   wherein:   the confidence level of the trajectory of the service vehicle meets a threshold confidence level that triggers the generating a corrected location data set action.   
     
     
         12 . The computer program product of  claim 8 , wherein the method further comprises:
 identifying a second location data set including a second proposed physical location of a second entity;   deriving a delivery sequence data set from the set of vehicle location data including the first service stop and a second service stop at a second known physical location of the second entity; and   computing a route distance between the first service stop and the second service stop;   wherein:   the deviation value is further based, at least in part, on the variation between the route distance and a proposed distance between the first and the second proposed physical locations.   
     
     
         13 . The computer program product of  claim 8 , wherein the set of vehicle location data is collected from a global positioning system (GPS) at the location of a service vehicle on which the set of vehicle location data is based. 
     
     
         14 . A computer system comprising:
 a processor set; and   a computer readable storage medium;   wherein:   the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium; and   the program instructions executable by the processor to cause the processor to perform a method comprising:
 identifying a first location data set including a first proposed physical location of a first entity; 
 receiving a set of vehicle location data including a set of vehicle locations over time generated during traversal of a service route that includes a first service stop at a first known physical location of the first entity; 
 analyzing the set of vehicle location data to determine a vehicle location during the service stop; 
 determining a deviation value based, at least in part, on a variation between the first proposed physical location of the first entity and the vehicle location during the service stop; 
 responsive to the deviation value exceeding a threshold deviation value, designating the first location data set as an incorrect location data set; and 
 reporting the incorrect location data set for a corrective action. 
   
     
     
         15 . The computer system of  claim 14 , wherein the service route is made up of road segments to be traversed by a service vehicle. 
     
     
         16 . The computer system of  claim 14 , wherein analyzing the set of vehicle location data includes:
 computing a confidence level for a trajectory of a service vehicle over the service route;   wherein:   the confidence level is based at least in part on the set of vehicle location data of the service vehicle having a same trajectory traversed by the service vehicle multiple times; and   the confidence level reflects a degree to which the trajectory of the service vehicle supports a strong correlation between a set of service stop locations and a corresponding physical location.   
     
     
         17 . The computer system of  claim 16 , wherein the method further comprises:
 generating a corrected location data set based, at least in part, on the incorrect location data set and the trajectory of the service vehicle;   wherein:   the confidence level of the trajectory of the service vehicle meets a threshold confidence level that triggers the generating a corrected location data set action.   
     
     
         18 . The computer system of  claim 14 , wherein the method further comprises:
 identifying a second location data set including a second proposed physical location of a second entity;   deriving a delivery sequence data set from the set of vehicle location data including the first service stop and a second service stop at a second known physical location of the second entity; and   computing a route distance between the first service stop and the second service stop;   wherein:   the deviation value is further based, at least in part, on the variation between the route distance and a proposed distance between the first and the second proposed physical locations.   
     
     
         19 . The computer system of  claim 14 , wherein the set of vehicle location data is collected from a global positioning system (GPS) at the location of the vehicle.