System and method for generating commodity flow information
Disclosed is method including receiving digital vehicle data for a fleet of vehicles like trucks, trains, planes, drones, etc., the digital vehicle data being one or more of GPS/location-based data, image data or radar data and combining one or more of pieces of data. The method includes inferring, based on the first combined data, a loaded/empty status of a vehicle. The method includes combining other data to yield second combined data, receiving data regarding one or more of supply, demand, and amount of available cargo to yield third combined data, generating information relating to a supply of vehicles available to load at a specified dock and/or deliver a cargo to a specified dock, in each case within a specified period of time and generating suggestions for one or more vehicles regarding future routes based on the data.
1. A method comprising:
receiving, via an antenna interacting with a computer-generated electronic communication from a location-determining device on a vehicle, vehicle location data for the vehicle;
combining, via a processor, one or more of data associated with a fleet of vehicles, historical vehicle location data, the vehicle location data, vehicle physical characteristics data, dock physical characteristics data associated with a dock and known patterns of trade flows using the fleet of vehicles, to yield first combined data;
inferring a cargo and a load status data for one or more vehicles in the fleet of vehicles based on the first combined data;
combining, via the processor, the cargo and the load status data with one or more of the vehicle location data, the historical vehicle location data, the vehicle physical characteristics data, the dock physical characteristics data, a type of cargo and an loaded/empty status of the vehicle to yield second combined data; and
generating suggestions for one or more vehicles regarding routes based on one or more of the first combined data and the second combined data.
2. The method of claim 1 , further comprising:
generating, based on one or more of the first combined data and the second combined data, information relating to a supply of vehicles available to load at a specified dock and/or deliver a cargo to a specified dock, in each case within a specified period of time, wherein the suggestions are generated based at least in part on the information relating to the supply of vehicles.
3. The method of claim 1 , further comprising:
receiving data regarding one or more of a supply, a demand, and an amount of available cargo to yield third combined data.
4. The method of claim 3 , wherein generating the suggestions for one or more vehicles regarding routes is further based on the third combined data.
5. The method of claim 1 , wherein the loaded/empty status of the vehicle is inferred based on the first combined data.
6. The method of claim 1 , wherein the data comprises one or more of location-based data, image data or radar data retrieved at least in part from one or more of a satellite, a ground based receiver, from a respective vehicle of the fleet of vehicles, or other receiver.
7. The method of claim 5 , further comprising inferring the loaded/empty status of a plurality of vehicles.
8. The method of claim 1 , wherein the data comprises two or more of global-positioning-system data, image data or radar data.
9. The method of claim 1 , wherein the first combined data comprises a combination of two or more of the data, the historical vehicle location data, the vehicle location data, the vehicle physical characteristics data, the dock physical characteristics data, a speed of vehicles of the fleet of vehicles, vehicle congestion data, and the known patterns of trade flows.
10. The method of claim 1 , wherein the dock physical characteristics data comprise one or more of an operational status of the dock, a position of the dock, a capacity of the dock, a size of the dock, stations configured at the dock, a location of the stations configured at the dock, cargo handled by the dock, and cargo handled at respective stations within the dock.
11. The method of claim 1 , wherein the data comprises radar data related to an image of the vehicle.
12. A system comprising:
a processor;
an antenna; and
a computer readable storage medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising:
receiving, via the antenna interacting with an electronic communication from a location-determining device configured on a vehicle, vehicle location data for the vehicle from a location-determining device configured on the vehicle;
combining one or more of data associated with a fleet of vehicles, historical vehicle location data, the vehicle location data, vehicle physical characteristics data, dock physical characteristics data associated with a dock and known patterns of trade flows using the fleet of vehicles, to yield first combined data;
inferring a cargo and a load status data for one or more vehicles in the fleet of vehicles based on the first combined data;
combining the cargo and the load status data and one or more of the data, the vehicle location data, the historical vehicle location data, the vehicle physical characteristics data, the dock physical characteristics data, a type of cargo and an loaded/empty status of the vehicle to yield second combined data; and
generating suggestions for one or more vehicles regarding routes based on one or more of the first combined data and the second combined data.
13. The system of claim 12 , wherein the computer readable storage medium stores further instructions which, when executed by the processor, cause the processor to perform operations further comprising:
generating, based on one or more of the first combined data and the second combined data, information relating to a supply of vehicles available to load at a specified dock and/or deliver a cargo to a specified dock, in each case within a specified period of time, wherein the suggestions are generated based at least in part on the information relating to the supply of vehicles.
14. The system of claim 12 , wherein the computer readable storage medium stores further instructions which, when executed by the processor, cause the processor to perform operations further comprising:
receiving data regarding one or more of a supply, a demand, and an amount of available cargo to yield third combined data.
15. The system of claim 14 , wherein generating the suggestions for one or more vehicles regarding routes is further based on the third combined data.
16. The system of claim 12 , wherein the loaded/empty status of the vehicle is inferred based on the first combined data.
17. The system of claim 12 , wherein the data comprises one or more of location-based data, image data or radar data retrieved at least in part from one or more of a satellite, a ground based receiver, from a respective vehicle of the fleet of vehicles, or other receiver.
18. The system of claim 16 , wherein the computer readable storage medium stores further instructions which, when executed by the processor, cause the processor to perform operations further comprising:
inferring the loaded/empty status of a plurality of vehicles.
19. A system comprising:
a processor;
an antenna;
a first data combiner configured to combine, via the processor, one or more of data associated with a fleet of vehicles, historical vehicle location data, vehicle location data received from via the antenna interacting with an electronic communication from a location-identification device configured on a vehicle, vehicle physical characteristics data, dock physical characteristics data associated with a dock and known patterns of trade flows, to yield first combined data;
a software module configured with computer-readable instructions that cause the processor to infer a cargo and a load status data based on the first combined data;
a second data combiner configured to combine, via the processor, the cargo and load status data and one or more of the data, the vehicles location data, the historical vehicles location data, the vehicles physical characteristics data, the dock physical characteristics data, a type of cargo and an loaded/empty status of at least one vehicle to yield second combined data;
a first generating component configured to generate, based on one or more of the first combined data and the second combined data, information relating to a supply of vehicles available to load at a specified dock and/or deliver a cargo to a specified dock, in each case within a specified period of time; and
a second generating component configured to generate suggestions for one or more vehicles regarding routes based on one or more of the first combined data and the second combined data.
20. The system of claim 19 , further comprising:
an inferring component configured to infer, based on the first combined data, the loaded/empty status of at least one vehicle or a type of cargo in the vehicle.