Abstract: A system can receive a request for transport from a computing device of a user and select a service provider to provide transport for the user to a destination location. The system can receive location data from the computing device of the service provider. After the service provider picks up the user, the system can determine whether the service provider progresses toward the destination location in accordance with a set of progress conditions. Based at least in part on determining that the service provider has not progressed toward the destination location in accordance with the set of progress conditions, the system can adjust a fare for providing transport for the user to the destination location.

Abstract: A system can classify at least one sub-region of the one or more sub-regions as an undersupplied sub-region based on transport supply versus transport demand. The system can provide, to a computing device of a service provider over one or more networks, one or more proposals on a user interface of the computing device, each proposal being associated with an undersupplied sub-region in which transport requests having start locations within the undersupplied sub-region are to be fulfilled by the service provider over for a given amount of time. The system may then initiate a proposal for the corresponding undersupplied sub-region for the service provider by matching the service provider with one or more transport requests having start locations within the undersupplied sub-region.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: A system can provide a set of expedition proposals that are each selectable by a service provider on a user interface of a computing device to commit the service provider to an expedition. Each expedition can be associated with a configured sequence of tasks to be performed for a given amount of time. Based on a selection of an expedition proposal from the set of expedition proposals, the system can initiate a corresponding expedition for the service provider by (i) matching the service provider with a sequence of tasks, and (ii) transmitting route data to the computing device to cause the user interface on the computing device to display route information for sequential destination locations for the sequence of tasks.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: A system can receive a request for transport from a computing device of a user and select a service provider to provide transport for the user to a destination location. The system can receive location data from the computing device of the service provider. After the service provider picks up the user, the system can determine whether the service provider progresses toward the destination location in accordance with a set of progress conditions. Based at least in part on determining that the service provider has not progressed toward the destination location in accordance with the set of progress conditions, the system can adjust a fare for providing transport for the user to the destination location.

Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

Abstract: Systems and methods for evaluating and deploying fleets of autonomous in operational domains are described. A computing system may obtain data indicative of one or more capabilities of at least one autonomous vehicle, data indicative of vehicle service dynamics in an operational domain over a period of time, and determining a plurality of resource performance parameters respectively for a plurality of autonomous vehicle fleets associated with potential deployment in the operational domain. Each autonomous vehicle fleet can be associated with a different number of autonomous vehicles The resource performance parameter for each autonomous vehicle fleet can be based at least in part on the one or more capabilities of the at least one autonomous vehicle and the vehicle service dynamics in the operational domain. The computing system can initiate an action associated with the operational domain based at least in part on the plurality of resource performance parameters.

Abstract: Systems and methods for controlling an autonomous vehicle to reduce idle data usage and vehicle downtime are provided. In one example embodiment, a computing system can obtain data associated with autonomous vehicle(s) that are online with a service entity. The computing system can obtain data indicative of the geographic area with an imbalance in a number of vehicles associated with the geographic area. The computing system can determine a first autonomous vehicle for re-positioning with respect to the geographic area based at least in part on the data associated with the one or more autonomous vehicles and the data indicative of the geographic. The computing system can communicating data indicative of a first re-positioning assignment associated with the first autonomous vehicle. In some implementations, the computing system can generate vehicle service incentive to entice a vehicle provider to re-position its autonomous vehicles with respect to the geographic area.

Abstract: Systems and methods for controlling an autonomous vehicle to reduce idle data usage and vehicle downtime are provided. In one example embodiment, a computing system can obtain data associated with autonomous vehicle(s) that are online with a service entity. The computing system can obtain data indicative of the geographic area with an imbalance in a number of vehicles associated with the geographic area. The computing system can determine a first autonomous vehicle for re-positioning with respect to the geographic area based at least in part on the data associated with the one or more autonomous vehicles and the data indicative of the geographic. The computing system can communicating data indicative of a first re-positioning assignment associated with the first autonomous vehicle. In some implementations, the computing system can generate vehicle service incentive to entice a vehicle provider to re-position its autonomous vehicles with respect to the geographic area.

Abstract: A system can provide a set of expedition proposals that are each selectable by a service provider on a user interface of a computing device to commit the service provider to an expedition. Each expedition can be associated with a configured sequence of tasks to be performed for a given amount of time. Based on a selection of an expedition proposal from the set of expedition proposals, the system can initiate a corresponding expedition for the service provider by (i) matching the service provider with a sequence of tasks, and (ii) transmitting route data to the computing device to cause the user interface on the computing device to display route information for sequential destination locations for the sequence of tasks.

Abstract: A network computing system can configure sets of expedition proposals for service providers, which are each selectable to commit the service provider to a dynamic expedition coordinated in real-time by the network computing system. Partitioned service areas may be scored in accordance with utilization conditions, and a dynamic trajectory can be generated based on the scored service areas for individual service providers. The network computing system can provide navigation instructions to the service provider along an updated recommended route based on the dynamic trajectory, until expiration of the dynamic expedition.

Abstract: Some embodiments of the invention provide a framework for simulating the operation of a blockchain system. Simulation may produce quantitative, practical estimates of how varying certain aspects of the system's design affects its performance, cost, and/or other metrics of interest. Some embodiments provide a unified simulation framework which enables designers and operators to use the data produced from one test or model in another, and allowing the system's parameters and/or protocol to be optimized relative to one or more objective functions.

Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

Abstract: A network computer system provides a service instruction to a computing device. The service instruction can include offers, such as a service request to pick up and transport a user, and recommendations, such as a movement recommendation encouraging the service provider to relocate to another geographic area. The network computer system remotely monitors the computing device to receive a current position of the computing device as the service provider travels within a geographic area. The network computer system remotely monitors the computing device to receive a service state of the service provider. The network computer system periodically determines whether the service provider is making progress towards a target of the service instruction based on the current position of the computing device and a set of progress conditions, including determining whether the service provider satisfied the set of progress conditions in response to a change in the service state.

Abstract: Various examples are directed to systems and methods for routing autonomous vehicles. A system may receive an indication of a roadway element associated with a routing graph for routing autonomous vehicles and may determine an impact score for the roadway element. The impact score may describe an impact of applying a routing graph modification to the routing graph to modify routing to the roadway element. Based at least in part on the impact score, the system may apply the routing graph modification to the routing graph to generate a constrained routing graph and generate a route for a first autonomous vehicle based at least in part on the constrained routing graph. The system may instruct the first autonomous vehicle to begin traversing the route.

Abstract: The present disclosure is directed to configuring and instructing autonomous vehicles. In particular, one or more computing devices can receive, from a plurality of different autonomous vehicles, data describing travel completed by the plurality of different autonomous vehicles within a geographic area. The computing device(s) can also receive data indicating one or more model parameters for the geographic area. Based at least in part on the data describing the travel and the data indicating the model parameter(s), the computing device(s) can generate one or more models indicating one or more effects of the plurality of different autonomous vehicles on a transportation market for the geographic area. Based at least in part on the model(s), the computing device(s) can generate data indicating instructions for at least one autonomous vehicle of the plurality of different autonomous vehicles and can communicate such data to the at least one autonomous vehicle.