Abstract: Aerial vehicles are assigned to routes within a transportation network based on a state of charge, state of power, and/or state of health for the aerial vehicle. Such aspects can be modeled based on one or more statistical models and/or machine-learned models, among other examples. As another example, an energy budget is used to ensure that the state of charge, state of power, and/or state of health of the aerial vehicle during and/or after traveling the route remains within the energy budget. A payload is assigned to a route and an associated aerial vehicle, thereby generating an itinerary. In examples, the itinerary is validated by the aerial vehicle to ensure that the aerial vehicle is capable of traveling the route with the payload. In examples where the aerial vehicle rejects the itinerary, the itinerary is assigned to another aerial vehicle and a new itinerary is identified for the aerial vehicle.

Abstract: Aerial vehicles are assigned to routes within a transportation network based on a state of charge, state of power, and/or state of health for the aerial vehicle. Such aspects can be modeled based on one or more statistical models and/or machine-learned models, among other examples. As another example, an energy budget is used to ensure that the state of charge, state of power, and/or state of health of the aerial vehicle during and/or after traveling the route remains within the energy budget. A payload is assigned to a route and an associated aerial vehicle, thereby generating an itinerary. In examples, the itinerary is validated by the aerial vehicle to ensure that the aerial vehicle is capable of traveling the route with the payload. In examples where the aerial vehicle rejects the itinerary, the itinerary is assigned to another aerial vehicle and a new itinerary is identified for the aerial vehicle.

Abstract: A system can receive location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit data corresponding to the rendezvous location to the computing device of the requesting user.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the rendezvous location to the computing device of the requesting user.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can determine a rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the rendezvous location to the computing device of the requesting user.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can repeatedly determine, based at least in part on location data corresponding to a directional heading of a proximate transport provider in relation to the current position of the requesting user, an optimal rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the optimal rendezvous location to the computing device of the requesting user.

Abstract: A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

Abstract: A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

Abstract: A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

Abstract: A system can receive, over one or more networks, location data from a computing device of a requesting user, where the location data indicates a current position of the requesting user. The system can repeatedly determine, based at least in part on location data corresponding to a directional heading of a proximate transport provider in relation to the current position of the requesting user, an optimal rendezvous location for the requesting user prior to the requesting user transmitting a service request to the network computer system. The system may then transmit, over the one or more networks, data corresponding to the optimal rendezvous location to the computing device of the requesting user.

Abstract: A method and system for predictive location selection are described. A network computer system can preselect a service area, prior to receiving a service request from a user, based on the position of the user, a destination, and proximate available service providers, among other factors. In response to the user inputting the destination, the network computer system determines probability scores for predefined service areas based on likelihoods of the proximate available service providers being available at a time when the user submits a service request. The network computer system uses the probability scores to select an appropriate service area and transmits data corresponding to the optimal service area to the user.

Abstract: Aerial vehicles are assigned to routes within a transportation network based on a state of charge, state of power, and/or state of health for the aerial vehicle. Such aspects can be modeled based on one or more statistical models and/or machine-learned models, among other examples. As another example, an energy budget is used to ensure that the state of charge, state of power, and/or state of health of the aerial vehicle during and/or after traveling the route remains within the energy budget. A payload is assigned to a route and an associated aerial vehicle, thereby generating an itinerary. In examples, the itinerary is validated by the aerial vehicle to ensure that the aerial vehicle is capable of traveling the route with the payload. In examples where the aerial vehicle rejects the itinerary, the itinerary is assigned to another aerial vehicle and a new itinerary is identified for the aerial vehicle.

Abstract: A method and system for predictive location selection are described. A network computer system can preselect a service area, prior to receiving a service request from a user, based on the position of the user, a destination, and proximate available service providers, among other factors. In response to the user inputting the destination, the network computer system determines probability scores for predefined service areas based on likelihoods of the proximate available service providers being available at a time when the user submits a service request. The network computer system uses the probability scores to select an appropriate service area and transmits data corresponding to the optimal service area to the user.

Abstract: A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

Abstract: A method and system for predictive location selection are described. A network computer system can preselect a service area, prior to receiving a service request from a user, based on the position of the user, a destination, and proximate available service providers, among other factors. In response to the user inputting the destination, the network computer system determines probability scores for predefined service areas based on likelihoods of the proximate available service providers being available at a time when the user submits a service request. The network computer system uses the probability scores to select an appropriate service area and transmits data corresponding to the optimal service area to the user.

Abstract: A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

Abstract: A method and system for match-based routing are described. The network computer system receives a first transport request for a first user and performs a selection process to select a provider to fulfill the first transport request. The network computer system determines multiple navigation routes between a current location of the selected provider and a waypoint associated with the first transport request and computes a match score for each of the navigation routes. The match scores are based on probabilities of the selected provider receiving an additional transport request from an additional user while the selected provider fulfills the first transport request along that navigation route. The network computer system selects one of the navigation routes based on the computed match scores and sends data corresponding to the selected navigation route to a provider computing device of the selected provider.

Abstract: A method and system for predictive location selection are described. A network computer system can preselect a service area, prior to receiving a service request from a user, based on the position of the user, a destination, and proximate available service providers, among other factors. In response to the user inputting the destination, the network computer system determines probability scores for predefined service areas based on likelihoods of the proximate available service providers being available at a time when the user submits a service request. The network computer system uses the probability scores to select an appropriate service area and transmits data corresponding to the optimal service area to the user.

Abstract: A transport network management system identifies a service objective for a plurality of VTOL aircraft and retrieves VTOL data including locations of the plurality of VTOL aircraft. An estimate of demand for transport services to be provided at least in part by one of the VTOL aircraft is generated and routing data for the plurality of VTOL aircraft is determined based on the estimated demand and the service objective. Routing instructions based on the routing data are sent to at least a subset of the VTOL aircraft.

Abstract: A camshaft phaser, including: an inner rotor with radially outwardly extending vanes which is connected to the inner camshaft; a stator having radially inwardly directed projections which contact the outer surface of the rotor and form working spaces into which the vanes extend, the vanes divide the working spaces into first and second sets of pressure chambers which can be pressurized with a hydraulic medium in order to rotate the rotor in an advancing or retarding direction; a front cover connected to a front side of the assembly defining a front side of the pressure chambers; and a rear cover connected to the rear side of the assembly defining a rear side of the pressure chambers, having first and second protrusions directed toward and meshed with complementary first and second indentations on an outer camshaft.