Abstract: 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.

Abstract: The present disclosure provides systems and methods for systems and methods for generating potential flight plans to be used by a ride sharing network, including dynamic and/or automated changes to flight plans that have been engaged with passengers based on real-time information. In particular, the systems and methods of the present disclosure can operate to generate a fleet-level set of potential flight plans which comply with one or more constraints for a fleet of aircraft. The potential flight plans can be exposed into and used by a ride sharing network to provide transportation to users.

Abstract: Systems and methods for facilitating a multi-modal transportation service are provided. The method includes obtaining a request for an aerial transport from a user via user device and generating a multi-modal transportation itinerary for the user to facilitate the aerial transport of the user. The method includes determining a state change indicative of the progress of the user through the transportation service and adjusting an aerial software application running on an aerial device associated with an aerial service provider based on the state change. The method includes determining a subsequent state change occurring after the state change, determining a ground vehicle to provide a ground transportation for the user during another leg of the multi-modal transportation service based on the subsequent state, and adjusting a ground software application running on a ground device associated with the ground vehicle service provider based on the subsequent state change.

Abstract: The present disclosure provides systems and methods for systems and methods for generating potential flight plans to be used by a ride sharing network, including dynamic and/or automated changes to flight plans that have been engaged with passengers based on real-time information. In particular, the systems and methods of the present disclosure can operate to generate a fleet-level set of potential flight plans which comply with one or more constraints for a fleet of aircraft. The potential flight plans can be exposed into and used by a ride sharing network to provide transportation to users.

Abstract: Systems and methods are directed to perform operations to optimize the provision of user services. The operations can include obtaining user data for a user of a multimodal transportation service provider. The operations can include obtaining, based at least in part on the user data, aviation data for one or more aviation service providers, the one or more aviation service providers comprising at least one of a flight facility operator or an airline operator. The operations can include determining, based at least in part on the user data and the aviation data, one or more service actions, the one or more service actions comprising at least one of a multimodal transportation service itinerary adjustment, a security process modification, or a user service optimization. The operations can include performing the one or more service actions.

Abstract: Systems and methods for facilitating a multi-modal transportation service are provided. The method includes obtaining a request for an aerial transport from a user via user device and generating a multi-modal transportation itinerary for the user to facilitate the aerial transport of the user. The method includes determining a state change indicative of the progress of the user through the transportation service and adjusting an aerial software application running on an aerial device associated with an aerial service provider based on the state change. The method includes determining a subsequent state change occurring after the state change, determining a ground vehicle to provide a ground transportation for the user during another leg of the multi-modal transportation service based on the subsequent state, and adjusting a ground software application running on a ground device associated with the ground vehicle service provider based on the subsequent state change.

Abstract: Systems and methods for limiting facilitating a multi-modal transportation itinerary are provided. The system includes a service entity computing system and a vehicle provider computing system that collaborate to create and facilitate an end-to-end multi-modal transportation itinerary. This can include creating a flight schedule during a time window based on multi-modal transportation service data supplied by the service entity. The service entity can generate multi-modal transportation itineraries based on a request and the flight schedule. A rider can select an itinerary and, in response, the service entity can initiate and monitor a first ground leg of the itinerary. Deviations from the first ground leg can be provided to the vehicle provider which can delay or advance a flight based on the deviation. Likewise, deviations from an aerial transportation leg can be provided to the service entity which can delay or advance a second ground leg based on the deviation.

Abstract: Systems and methods for optimizing multi-modal transportation over a time period are provided. A system includes a simulation system configured to generate simulation data, a servicing system configured to generate servicing data, and a planning system configured to determine a multi-modal transportation itinerary based on the simulation and servicing data. The simulation data can identify a plurality of simulated flights performed in a simulated world corresponding to the real world. The system can determine the impact of scheduling a multi-modal transportation itinerary based on the impact of the multi-modal transportation itinerary on the simulated flights. The servicing data can include a servicing schedule that plans anticipated servicing events based on the impact of the servicing event to the simulated itineraries. Once scheduled, future simulated flights can be generated that account for the multi-modal transportation itinerary and the servicing schedule.

Abstract: Systems and methods for communicating with secondary users of a transportation service are provided. A method can include obtaining a request for a transportation service including an aerial transport of a first user from a first user device associated with the first user. The method can include generating a first multi-modal transportation itinerary for facilitating the aerial transport for the first user. The method can include obtaining data indicative of a second user that is to travel with the first user for at least a portion of the first multi-modal transportation itinerary and determining a second multi-modal transportation itinerary for facilitating the aerial transport for the second user. The method can include communicating passenger itinerary data indicative of the second multi-modal transportation itinerary to a second user device associated with the second user.

Abstract: The present disclosure provides systems and methods for systems and methods for generating potential flight plans to be used by a ride sharing network, including dynamic and/or automated changes to flight plans that have been engaged with passengers based on real-time information. In particular, the systems and methods of the present disclosure can operate to generate a fleet-level set of potential flight plans which comply with one or more constraints for a fleet of aircraft. The potential flight plans can be exposed into and used by a ride sharing network to provide transportation to users.

Abstract: Systems and methods for facilitating a multi-modal transportation service are provided. The method includes obtaining a request for an aerial transport from a user via user device and generating a multi-modal transportation itinerary for the user to facilitate the aerial transport of the user. The method includes determining a state change indicative of the progress of the user through the transportation service and adjusting an aerial software application running on an aerial device associated with an aerial service provider based on the state change. The method includes determining a subsequent state change occurring after the state change, determining a ground vehicle to provide a ground transportation for the user during another leg of the multi-modal transportation service based on the subsequent state, and adjusting a ground software application running on a ground device associated with the ground vehicle service provider based on the subsequent state change.

Abstract: 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.

Abstract: 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.

Abstract: 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.