A ride-sourcing method including receiving a plurality of ride-sourcing requests; grouping a first set of the plurality of ride-sourcing requests into a first cluster and a second set of the plurality of ride-sourcing requests into a second cluster; computing a tour formation for each of the first cluster and the second cluster to define a series of stations and a cost function; applying trips to the first cluster and the second cluster under uniformity constraints; repeating the computing and applying steps until the cost function between consecutive iterations is below a threshold to define a first cluster of trips and a second cluster of trips; and assigning the first cluster of trips to a first driver and the second cluster of trips to a second driver.

Embodiments are provided for anticipating a demand for transportation on demand vehicles operating in a geographical region of interest, including a non-transitory computer-readable medium including instructions that when executed by at least one processor, cause it to perform operations, which may include: determining a plurality of spatiotemporal service need feature vectors characterizing a transportation need in the geographical region of interest over a first time period; determine a time-resolved regression function based on the plurality of spatiotemporal service need feature vectors; applying the time-resolved regression function to determine, from the plurality of spatiotemporal service need feature vectors, a plurality of anticipated spatiotemporal service need feature vectors for a second time period, subsequent to the first time period; and using the plurality of anticipated spatiotemporal service need feature vectors to determine a measure of anticipated transportation need in the geographical region of interest for the second time period.

A vehicle charging method includes obtaining overall trip information of a vehicle, the overall trip information including at least one trip segment, assigning a charging strategy to each trip segment, and according to the trip segment and a corresponding charging mode, performing a charging service on the vehicle during a trip of the vehicle. In response to existence of a driving trip segment, a driving charging mode is assigned corresponding to the driving trip segment. In response to existence of a parking trip segment, a stationary charging mode is assigned corresponding to the parking trip segment.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.

Vertical take-off and landing (VTOL) aircraft can provide opportunities to incorporate aerial transportation into transportation networks for cities and metropolitan areas. However, VTOL aircraft may be noisy. To accommodate this, the aircraft may utilize onboard sensors, offboard sensing, network, and predictive temporal data for noise signature mitigation. By building a composite understanding of real data offboard the aircraft, the aircraft can make adjustments to the way it is flying and verify this against a predicted noise signature (via computational methods) to reduce environmental impact. This might be realized via a change in translative speed, propeller speed, or choices in propulsor usage (e.g., a quiet propulsor vs. a high thrust, noisier propulsor). These noise mitigation actions may also be decided at the network level rather than the vehicle level to balance concerns across a city and relieve computing constraints on the aircraft.

A method may include detecting, during a flight of an aircraft system, a conflict with a planned route of the aircraft system, determining one or more alternate routes for the aircraft system to avoid the conflict, wherein each of the one or more alternate routes avoid secondary conflicts with active flight operations, transmitting first data to cause first visual information indicating the conflict and second visual information indicating the one or more alternate routes to be displayed to a user, receiving second data indicating one of the one or more alternate routes being selected by the user, and updating the planned route of the aircraft system to include the alternate route selected by the user.

When a control unit assigns, to each of multiple routes, any of multiple vehicles that is able to travel with a drive source of at least one of an electric motor and an internal combustion engine, categories of the vehicles being different from each other, the control unit determines, based on a cost or an environmental load when the vehicle is caused to travel on the routes with the electric motor and a cost or an environmental load when the vehicle is caused to travel on the routes with the internal combustion engine, combinations of the vehicles and the routes.

A computer system operates to receive transport service requests from computing devices of requesters within a geographic region. The system matches each transport service request with an available transport provider operating a service vehicle within the geographic region, and determines a location bias for a first transport provider that operates a corresponding vehicle within the geographic region, the location bias being associated with a preferred location of the first transport provider. The system may then match the first transport provider to a transport service request based on (i) the location bias of the first transport provider, and (ii) a destination of the transport service request which, upon fulfilling the transport service request, results in the first transport provider being positioned to arrive at the preferred location within a future time interval.

A merchant may operate a retail store that users are able to visit in person in order to view and purchase products. When a user visits the store, the user might not know where a desired product (“target product”) is located. Computer technology may help direct the user to the target product in real-time. In some embodiments, a model of passable areas and the location of products in the retail store may be determined, e.g. by a merchant device. In some embodiments, when the user visits the retail store, a computer generates a product recommendation, e.g. based on user-specific information, and a route in the retail store is determined for the user. In some embodiments, the route in the retail store may be determined using the model based on the target product, the user's location in the store, and one or more recommended products.

Systems and methods for automatically servicing autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining data associated with one or more reference mechanisms located on an autonomous vehicle. The method includes identifying information associated with the autonomous vehicle based at least in part on the data associated with the one or more reference mechanisms located on the autonomous vehicle. The information associated with the autonomous vehicle includes an orientation of the autonomous vehicle. The method includes determining a vehicle maintenance plan for the autonomous vehicle based at least in part on the information associated with the autonomous vehicle. The method includes providing one or more control signals to implement the vehicle maintenance plan for the autonomous vehicle based at least in part on the orientation of the autonomous vehicle.