Systems and methods for coordinating an arrival of one or more assets at a location
In one example embodiment, a computer-implemented method for coordinating an arrival of an asset at a location includes identifying one or more assets arriving at a transfer hub, based at least in part on one or more attributes associated with the one or more assets. The method includes determining an arrival time for the one or more assets, based at least in part on an available capacity associated with the transfer hub for receiving the one or more assets. The method includes controlling the one or more assets to arrive at the determined arrival time.
1. A computer-implemented method, comprising:
controlling an autonomous vehicle of a plurality of autonomous vehicles according to a first motion plan generated based on first sensor data descriptive of an environment, the first motion plan configured for traversing a route to a destination, the first motion plan generated based at least in part on first vehicle route data comprising an estimated arrival time of the autonomous vehicle at the destination;
obtaining second vehicle route data associated with one or more other autonomous vehicles of the plurality of autonomous vehicles, the second route data indicating an estimated arrival time of the one or more other autonomous vehicles, the autonomous vehicle and the one or more other autonomous vehicles being associated with cargo data indicating a same attribute;
generating a second motion plan based at least in part on the second vehicle route data to alter the estimated arrival time of the autonomous vehicle at the destination for the autonomous vehicle to be at the destination at the same time as the one or more other autonomous vehicles to consolidate arrival of cargo having shared attributes; and
controlling the autonomous vehicle according to the second motion plan to thereby coordinate arrival of the autonomous vehicle at the destination with arrival of the one or more other autonomous vehicles of the plurality of autonomous vehicles.
2. The computer-implemented method of claim 1 , wherein the same attribute comprises at least one data type or more data selected from the following data types: a same cargo identifier, a same cargo-type, or a same cargo-weight.
3. The computer-implemented method of claim 2 , wherein the same attribute comprises a same cargo-type.
4. The computer-implemented method of claim 3 , wherein the same cargo-type comprises a type of hazardous cargo or a type of climate-controlled cargo.
5. The computer-implemented method of claim 1 , wherein the second vehicle route data is based at least in part on cargo route data associated with the plurality of autonomous vehicles, wherein the cargo route data indicates that the autonomous vehicle and the one or more other autonomous vehicles have a same next destination.
6. The computer-implemented method of claim 1 , wherein the autonomous vehicle is configured to operate in a group with the one or more other autonomous vehicles after arrival at the destination.
7. The computer-implemented method of claim 6 , comprising:
controlling the autonomous vehicle to travel in a convoy with the one or more other autonomous vehicles.
8. An autonomous vehicle control system for an autonomous vehicle, the autonomous vehicle control system comprising:
one or more processors; and
one or more tangible non-transitory computer readable media that store instructions that are executable by the one or more processors to cause the autonomous vehicle control system to perform operations, the operations comprising:
controlling an autonomous vehicle of a plurality of autonomous vehicles according to a first motion plan generated based on first sensor data descriptive of an environment, the first motion plan configured for traversing a route to a destination, the first motion plan generated based at least in part on first vehicle route data comprising an estimated arrival time of the autonomous vehicle at the destination;
obtaining second vehicle route data associated with one or more other autonomous vehicles of the plurality of autonomous vehicles, the second route data indicating an estimated arrival time of the one or more other autonomous vehicles, the autonomous vehicle and the one or more other autonomous vehicles being associated with cargo data indicating a same attribute;
generating a second motion plan based at least in part on the second vehicle route data to alter the estimated arrival time of the autonomous vehicle at the destination for the autonomous vehicle to be at the destination at the same time as the one or more other autonomous vehicles to consolidate arrival of cargo having shared attributes; and
controlling the autonomous vehicle according to the second motion plan to thereby coordinate arrival of the autonomous vehicle at the destination with arrival of the one or more other autonomous vehicles of the plurality of autonomous vehicles.
9. The autonomous vehicle control system of claim 8 , wherein the same attribute comprises at least one data type or more data selected from the following data types: a same cargo identifier, a same cargo-type, or a same cargo-weight.
10. The autonomous vehicle control system of claim 9 , wherein the same attribute comprises a same cargo-type.
11. The autonomous vehicle control system of claim 10 , wherein the same cargo-type comprises a type of hazardous cargo or a type of climate-controlled cargo.
12. The autonomous vehicle control system of claim 8 , wherein the second vehicle route data is based at least in part on cargo route data associated with the plurality of autonomous vehicles, wherein the cargo route data indicates that the autonomous vehicle and the one or more other autonomous vehicles have a same next destination.
13. The autonomous vehicle control system of claim 8 , wherein the autonomous vehicle is configured to operate in a group with the one or more other autonomous vehicles after arrival at the destination.
14. The autonomous vehicle control system of claim 13 , wherein the operations comprise:
controlling the autonomous vehicle to travel in a convoy with the one or more other autonomous vehicles.
15. A memory device comprising one or more tangible non-transitory computer readable media that store instructions that are executable by one or more processors to cause the one or more processors to perform operations, the operations comprising:
controlling an autonomous vehicle of a plurality of autonomous vehicles according to a first motion plan generated based on first sensor data descriptive of an environment, the first motion plan configured for traversing a route to a destination, the first motion plan generated based at least in part on first vehicle route data comprising an estimated arrival time of the autonomous vehicle at the destination;
obtaining second vehicle route data associated with one or more other autonomous vehicles of the plurality of autonomous vehicles, the second route data indicating an estimated arrival time of the one or more other autonomous vehicles, the autonomous vehicle and the one or more other autonomous vehicles being associated with cargo data indicating a same attribute;
generating a second motion plan based at least in part on the second vehicle route data to alter the estimated arrival time of the autonomous vehicle at the destination for the autonomous vehicle to be at the destination at the same time as the one or more other autonomous vehicles to consolidate arrival of cargo having shared attributes; and
controlling the autonomous vehicle according to the second motion plan to thereby coordinate arrival of the autonomous vehicle at the destination with arrival of the one or more other autonomous vehicles of the plurality of autonomous vehicles.
16. The memory device of claim 15 , wherein the same attribute comprises at least one data type or more data selected from the following data types: a same cargo identifier, a same cargo-type, or a same cargo-weight.
17. The memory device of claim 16 , wherein the same attribute comprises a same cargo-type.
18. The memory device of claim 15 , wherein the second vehicle route data is based at least in part on cargo route data associated with the plurality of autonomous vehicles, wherein the cargo route data indicates that the autonomous vehicle and the one or more other autonomous vehicles have a same next destination.
19. The memory device of claim 15 , wherein the autonomous vehicle is configured to operate in a group with the one or more other autonomous vehicles after arrival at the destination.
20. The memory device of claim 19 , wherein the operations comprise:
controlling the autonomous vehicle to travel in a convoy with the one or more other autonomous vehicles.