Multi-modal transportation service planning and fulfillment
The present disclosure provides systems and methods for real-time planning and fulfillment of multi-modal transportation services in a multi-modal ride sharing network. In particular, aspects of the present disclosure are directed to a computing system that creates an end-to-end multi-modal itinerary responsive to a user request for transportation service between an origin and a destination. The multi-modal itinerary can include two or more transportation legs that include travel via two or more different transportation modalities such as, as examples, via a car and via an aircraft.
1. A computing system comprising:
one or more processors; and
one or more non-transitory computer-readable media that store instructions for execution by the one or more processors to cause the computing system to perform operations, the operations comprising:
accessing a request to transport a user from an origin to a destination;
computing one or more candidate end-to-end itineraries based at least in part on the origin and the destination, each candidate end-to-end itinerary comprising a plurality of transportation legs that include transportation via a plurality of different transportation modalities,
wherein the plurality of transportation legs comprise at least a first transportation leg and a second transportation leg, the first transportation leg comprising ground-based transportation provided via one or more ground-based vehicles associated with a service provider of ground-based transportation and the second transportation leg comprising flight-based transportation provided via one or more aircraft associated with a service provider of flight-based transportation;
scoring each of the one or more candidate end-to-end itineraries using an objective function that evaluates a cost associated with the plurality of transportation legs and a time associated with the plurality of transportation legs;
computing a selected end-to-end itinerary for presentation to the user that has a best score based on the scoring using the objective function; and
providing data indicative of the selected end-to-end itinerary to a user device.
2. The computing system of claim 1 , wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a number of or a quality of contingency plans for providing alternative transportation legs associated with each candidate end-to-end itinerary.
3. The computing system of claim 1 , wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a deviation of an estimated arrival time from a requested arrival time or a deviation of an estimated departure time from a requested departure time.
4. The computing system of claim 1 , wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of an uncertainty or a variance associated with respective transportation legs of each candidate end-to-end itinerary.
5. The computing system of claim 1 , wherein providing the data indicative of the selected end-to-end itinerary to the user device comprises providing a single end-to-end price of fulfilling the selected end-to-end itinerary, the single end-to-end price corresponding to a sum of respective prices for the plurality of transportation legs.
6. The computing system of claim 1 , the operations further comprising:
receiving an indication from the user device indicative of a modified end-to-end itinerary comprising user modifications to one or more characteristics of the selected end-to-end itinerary; and
providing updated data indicative of the modified end-to-end itinerary to the user device.
7. The computing system of claim 1 , the operations further comprising:
receiving an indication from the user device indicative of the user choosing to request fulfillment of the selected end-to-end itinerary; and
initiating a request to one or more ride sharing networks to enable the user to complete the selected end-to-end itinerary.
8. The computing system of claim 1 , the operations further comprising: in response to receiving the indication from the user device indicative of the user choosing to request fulfillment of the selected end-to-end itinerary, adding the user at a current time to a transportation plan of at least one of the first transportation leg or the second transportation leg.
9. The computing system of claim 1 , wherein one or more of the plurality of transportation legs is a placeholder transportation plan that will be available at a future time for which the user is seeking to travel, the placeholder transportation plan being an estimation of a transportation service that will be available at the future time generated based on at least one of historical data or real-time data.
10. A computer-implemented method comprising:
accessing a request to transport a user from an origin to a destination;
computing one or more candidate end-to-end itineraries based at least in part on the origin and the destination, each candidate end-to-end itinerary comprising a plurality of transportation legs that include transportation via a plurality of different transportation modalities,
wherein the plurality of transportation legs comprise at least a first transportation leg and a second transportation leg, the first transportation leg comprising ground-based transportation provided via one or more ground-based vehicles associated with a service provider of ground-based transportation and the second transportation leg comprising flight-based transportation provided via one or more aircraft associated with a service provider of flight-based transportation;
scoring each of the one or more candidate end-to-end itineraries using an objective function that evaluates a cost associated with the plurality of transportation legs and a time associated with the plurality of transportation legs;
computing a selected end-to-end itinerary for presentation to the user that has a best score based on the scoring using the objective function; and
providing data indicative of the selected end-to-end itinerary to a user device.
11. The computer-implemented method of claim 10 , wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a number of or a quality of contingency plans for providing alternative transportation legs associated with each candidate end-to-end itinerary.
12. The computer-implemented method of claim 10 , wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of a deviation of an estimated arrival time from a requested arrival time or a deviation of an estimated departure time from a requested departure time.
13. The computer-implemented method of claim 10 , wherein scoring each of the one or more candidate end-to-end itineraries using the objective function further evaluates at least one of an uncertainty or a variance associated with respective transportation legs of each candidate end-to-end itinerary.
14. The computer-implemented method of claim 10 , wherein providing the data indicative of the selected end-to-end itinerary to the user device comprises providing a single end-to-end price of fulfilling the selected end-to-end itinerary, the single end-to-end price corresponding to a sum of respective prices for the plurality of transportation legs.
15. The computer-implemented method of claim 10 , further comprising:
receiving an indication from the user device indicative of a modified end-to-end itinerary comprising user modifications to one or more characteristics of the selected end-to-end itinerary; and
providing updated data indicative of the modified end-to-end itinerary to the user device.
16. The computer-implemented method of claim 10 , further comprising:
receiving an indication from the user device indicative of the user choosing to request fulfillment of the selected end-to-end itinerary; and
initiating a request to one or more ride sharing networks to enable the user to complete the selected end-to-end itinerary.
17. The computer-implemented method of claim 10 , wherein one or more of the plurality of transportation legs is a placeholder transportation plan that will be available at a future time for which the user is seeking to travel, the placeholder transportation plan being an estimation of a transportation service that will be available at the future time generated based on at least one of historical data or real-time data.
18. One or more non-transitory computer-readable media that store instructions for execution by one or more processors that cause the one or more processors to perform operations, the operations comprising:
accessing a request to transport a user from an origin to a destination;
computing one or more candidate end-to-end itineraries based at least in part on the origin and the destination, each candidate end-to-end itinerary comprising a plurality of transportation legs that include transportation via a plurality of different transportation modalities,
wherein the plurality of transportation legs comprise at least a first transportation leg and a second transportation leg, the first transportation leg comprising ground-based transportation provided via one or more ground-based vehicles associated with a service provider of ground-based transportation and the second transportation leg comprising flight-based transportation provided via one or more aircraft associated with a service provider of flight-based transportation;
scoring each of the one or more candidate end-to-end itineraries using an objective function that evaluates a cost associated with the plurality of transportation legs and a time associated with the plurality of transportation legs;
computing a selected end-to-end itinerary for presentation to the user that has a best score based on the scoring using the objective function, and
providing data indicative of the selected end-to-end itinerary to a user device.
19. The one or more non-transitory computer-readable media of claim 18 , the operations further comprising:
receiving an indication from the user device indicative of a modified end-to-end itinerary comprising user modifications to one or more characteristics of the selected end-to-end itinerary; and
providing updated data indicative of the modified end-to-end itinerary to the user device.
20. The one or more non-transitory computer-readable media of claim 18 , the operations further comprising:
receiving an indication from the user device indicative of the user choosing to request fulfillment of the selected end-to-end itinerary; and
initiating a request to one or more ride sharing networks to enable the user to complete the selected end-to-end itinerary.