Abstract: Various embodiments pertain to techniques for proactively delivering navigation options to a user via a mobile device. In various embodiments, one or more navigation options can be determined for the user and delivered to the user's mobile device at a relevant time. Navigation options can be selected based on the user's current location, the user's future plans, the time, and other locally relevant information, such as friends nearby or a nearby favorite location of the user. The navigation options can be delivered to the user's mobile device at a time that the navigation options are relevant.

Abstract: A network computer system operates to mitigate failures for a network service. The network computer system can generate a data path model for the network service, where the data path model identifies a probabilistic set of expectations with respect to the programs and program sequences which handle service requests for the network service. The data path models can be used to detect, analyze or mitigate service request failures of the network service.

Abstract: A network computer system that determines metrics related to effort and cost on the part of deliverers who deliverer items for delivery orders. The network computer system can implement operations to facilitate or mitigate features that cause deliverers to expend effort or cost when completing delivery tasks.

Abstract: The present disclosure is directed to configuring vehicle communications. In particular, a computing system comprising one or more computing devices physically located onboard a vehicle can communicate a plurality of different and distinct types of information associated with the vehicle to a remotely located computing system via a data stream transmitted from the vehicle to the remotely located computing system. The computing system can determine one or more changes in at least one of a mode, state, or context of the vehicle, and responsive to determining the change(s), the computing system can modify one or more parameters of the data stream transmitted from the vehicle to the remotely located computing system.

Abstract: The present disclosure is directed to state-based autonomous-vehicle operations. In particular, the methods, devices, and systems of the present disclosure can: determine, based at least in part on one or more actions of a passenger associated with a trip of an autonomous vehicle, a current state of the trip from amongst a plurality of different predefined states of the trip; identify, based at least in part on the current state of the trip, one or more computing devices associated with the passenger; generate, based at least in part on the current state of the trip, data describing one or more interfaces for display by the computing device(s) associated with the passenger; and communicate, to the computing device(s) associated with the passenger, the data describing the interface(s) for display.

Abstract: The present disclosure describes a system for detecting, identifying and addressing a maintenance event for light electric vehicles. The maintenance event may be detected based on rider profile information, riding parameter information and light electric vehicle information. If a maintenance event is detected, a light electric vehicle management system may determine an action that addresses the maintenance event and provide instructions regarding the action to the light electric vehicle and/or one or more individuals that are trained or otherwise certified to address the maintenance event.

Abstract: Systems and methods for providing user control of alternate routes are provided. In example embodiments, a networked system receives a ride request from a user that indicates a drop-off location. The networked system identifies a current location of a user (e.g., a rider) and determines a plurality of routes from the current location of the user to a drop-off location. The plurality of routes is displayed on a user interface of a device of the user. In response, a selection of a route from the plurality of routes is received by the networked system. The networked system then causes presentation of a driving route corresponding to the selected route on a device of a driver and the device of the user.

Abstract: A delivery management system may select a set of preparation sites for the user using preparation site location data and a delivery site associated with the user. The set of preparation sites may comprise a virtual preparation site that is associated with a second preparation site. The delivery management system may serve menu data to a user computing device. The menu data may indicate at least a first item associated with the virtual preparation site. The delivery management system may receive, from the user computing device, a first order indicating the first item. The delivery management system may send a second order for the first item to the second preparation site, where the second order indicates delivery to the virtual preparation site. The delivery management system may request a vehicle to deliver the first item to the virtual preparation site.

Abstract: A computing system can receive event data corresponding to a user's experience with a network service. Based on the event data, the system can generate a set of representations that correspond to the user's experience with the network service. The representations may be analyzed and/or filtered by an artificial intelligence model executing on the computing system, which can predict negative experiences of users at future time intervals. Based on these predictions, the computing system can implement a set of corrective actions to steer the user experience to a more positive path.

Abstract: A computing system can receive location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service. The system can determine a set of locational attributes of a respective driver and determine whether one or more anomalous locational attributes are present in the set of locational attributes of the respective driver. In response to determining that one or more anomalous locational attributes are present, the system can associate a data set with a driver profile of the respective driver.

Abstract: In some examples, a network computer system can monitor a plurality of mobile computing devices to determine a current location of a corresponding freight operator of a plurality of freight operators. The network computer system can record the current location of each of the plurality of freight operators in a data store of the set of memory resources. Additionally, the network computer system can repeatedly query the data store to determine when at least two freight operators of the plurality of freight operators that satisfy a set of drafting conditions. The set of drafting conditions including a proximity condition as between the at least two freight operators and a candidate commencement location. In response to the determination, the network computer system can implement a drafting arrangement between the at least two freight operators.

Abstract: A transport arrangement system operates to provide a service, which can receive a transport pool request from a rider. The transport pool request can specify a set of parameters, including a pickup location and a drop-off location. A candidate set of transport providers are identified that satisfy one or more criterion, including a criterion of proximity relative to the pickup location. One of the candidate set of drivers is selected to provide a transport pool for the rider. The selection can be based at least in part on determining which individual drivers of the candidate set satisfy one or more constraints, including a first constraint that relate to a predicted trip completion time for the rider.

Abstract: Systems and methods for coordinating point of interest pickups in a transportation service are provided. In example embodiments, the system detects a location of a device of a user. Responsive to detecting the location of the device of the user, the system automatically determines one or more potential pickup points based on the detected location. A pickup point user interface (UI) that displays one or more potential pickup points based on the detected location is presented on the device of the user without displaying a map. The system receives confirmation of a pickup point from the one or more potential pickup points and receives an indication of a destination. The system then establishes the transportation service based on the confirmed pickup point and the destination. The system can provide user interfaces that display progress of a driver to the pickup point and progress to the destination without displaying a map.

Abstract: A system for an autonomous vehicle can receive profile data of a passenger of the autonomous vehicle, the profile data indicating a need of the passenger for audio assistance. Based on the profile data, the system can execute a set of configurations to assist the passenger over a trip duration between a pick-up location and a destination. Execution of the set of configurations can include dynamically monitoring the passenger to determine a state of the passenger, and based on the state of the passenger, output the audio assistance to at least aid the passenger in entering and exiting the autonomous vehicle.

Abstract: Systems and methods for autonomous vehicle operations are provided. An example computer-implemented method includes obtaining data indicative of vehicle fleet feature(s) associated with an autonomous vehicle fleet. The method includes obtaining data indicative of a vehicle service request associated with a user, the vehicle service request indicating a request for a vehicle service. The method includes determining user feature(s) associated with the user. The method includes determining a compatibility of the user and the autonomous vehicle fleet for the vehicle service based at least in part on the fleet feature(s) and the user feature(s). Determining the compatibility can include predicting how the autonomous vehicle fleet will perform the vehicle service associated with the vehicle service request based at least in part on the fleet's autonomy capabilities. The method includes communicating data associated with the vehicle service request to a computing system associated with the autonomous vehicle fleet.

Abstract: Systems and methods are directed to matching an available vehicle to a rider requesting a service. In one example, a computer-implemented method includes obtaining, by a computing system comprising one or more computing devices, a service request from a rider. The method further includes obtaining, by the computing system, data indicative of a current location of the rider; and determining that the current location of the rider is within proximity of an autonomous vehicle queuing location. The method further includes providing, by the computing system, data to the rider to provide for selection of an available autonomous vehicle at the autonomous vehicle queuing location. The method further includes obtaining, by the computing system, rider authentication data upon a selection of an autonomous vehicle by the rider; and, in response to obtaining rider authentication data, matching an autonomous vehicle selected by the rider to provide for performance of the service request.

Abstract: A vehicle routing device that determines a route from an origin to a destination including route guidance. The route guidance is modified based on user input. The modification can supply increased or reduced route guidance at intervals along the route. Route guidance may be modified to incorporate landmarks and personal contacts.

Abstract: A computing system detects activation of a service application on a computing device of a user. Based on a set of service factors, the system determines that a likelihood of the user requesting service exceeds a confidence threshold. Before receiving a request for service from the computing device of the user, and upon determining that the likelihood of the user requesting service exceeds the confidence threshold, the system performs a selection process to select a service provider to provide service for the user. Subsequent to performing the selection process, the system receives, from the computing device of the user, the request for service, and transmits, to a provider device of the selected service provider, an invitation for providing service for the user.

Abstract: A system can receive a request for a service from a computing device of a given user of the network service, and select an entrance from multiple entrances for a geographic region associated with the request for the service. Based on the request, the system determines a vehicle stopping location for a driver of a vehicle that is to service the request, where the vehicle stopping location is the entrance for the geographic region. The system then transmits an instruction set to a computing device of the driver, where the instruction set indicates the vehicle stopping location for a vehicular portion of the service.

Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.