Abstract: Systems and methods are disclosed herein for detecting non-compliant use of a micro-mobility vehicle, for example, based on parking the micro-mobility vehicle outside of a designated area. In an embodiment, a processor detects that a micro-mobility vehicle shared by a plurality of users has transitioned from an operational state to a parked state, where the micro-mobility vehicle was operated by a user of the plurality of users when in the operational state. The processor determines a location of the micro-mobility vehicle while the micro-mobility vehicle is in the parked state, and evaluates whether it is permissible to transition the micro-mobility vehicle to the parked state at the location. Responsive to determining that it is not permissible to transition to the parked state at the location, the processor updates a profile of the user to indicate non-compliant use of the micro-mobility vehicle.

Abstract: A network system is provided that enables a user to record media in connection with a user operating a service application to participate in a transport service. In examples, the network system includes a user computing device on which media is recorded and stored in an unrenderable state. The user can elect to make a media recording submission for a particular service activity (e.g., trip provided or received by user). In response to the media recording submission, the user computing device identifies one or more media files that contain media data which depict the service activity. The identified media files are transmitted to a service computing system where the media files can be rendered.

Abstract: A system can receive a request for transport from a computing device of a user while the user is riding a transit vehicle of a transit service, the request specifying a start location and a destination for the user. The system can determine an estimated time of arrival (ETA) of the transit vehicle to an arrival location that corresponds to the start location. The system can determine an ETA of a vehicle to the start location based on location data of the vehicle, and determine that the ETA of the vehicle to the start location is within a threshold amount of time of the ETA of the transit vehicle to the arrival location. The system can select the vehicle to service the request for the user, and transmit a transport invitation indicating the start location to the computing device associated with the vehicle.

Abstract: Example embodiments are directed to systems and methods for providing end of route navigation. A network system identifies a destination of a route and retrieves a display template based on the destination. The display template provides guidelines for display of end of route content, whereby the display of the end of the route content is different than display of content during a middle of the route. Based on the display template, a display time to trigger display of the end of the route content. The display time may be associated with a threshold distance to the destination. The network system monitors a location of a vehicle along the route and accesses end of route content. Responsive to detecting that the location of the vehicle is at the threshold distance to the destination, the end of the route content is displayed on a device associated with the vehicle.

Abstract: A computing system determines that a transportation vehicle is transporting a first end user to a first destination location. Based on a set of factors, the system determines that a driver of the transportation vehicle is able to travel to a rendezvous location to rendezvous with a second end user while the transportation vehicle is progressing to the first destination location along an original route. The system determines an alternate route for the transportation vehicle to travel to the rendezvous location that satisfies the set of factors, and directs the driver of the transportation vehicle to the rendezvous location to rendezvous with the second end user along the alternate route.

Abstract: A network computing system can coordinate on-demand transport serviced by transport providers operating throughout a transport service region. The transport providers can comprise a set of internal autonomous vehicles (AVs) and a set of third-party AVs. The system can receive a transport request from a requesting user of the transport service region, where the transport request indicates a pick-up location and a destination. The system can determine a subset of the transport providers to service the respective transport request, and executing a selection process among the subset of the transport providers to select a transport provider to service the transport request. The system may then transmit a transport assignment to the selected transport provider to cause the selected transport provider to service the transport request.

Abstract: Systems and methods for controlling an autonomous vehicle and the service selection for an autonomous vehicle are provided. In one example embodiment, a computing system can obtain data indicative of a first vehicle service assignment for an autonomous vehicle. The first vehicle service assignment can be associated with a first service entity and indicative of a first vehicle service. The computing system can determine that the autonomous vehicle is available to perform a second vehicle service concurrently with the first vehicle service. The computing system can obtain data indicative of a second vehicle service assignment for the autonomous vehicle. The second vehicle service assignment can be associated with a second service entity that is different than the first service entity and is indicative of the second vehicle service. The computing system can cause the autonomous vehicle to concurrently perform the first vehicle service with the second vehicle service.

Abstract: A computing system can receive utilization data from computing devices of requesting users. Based on the utilization data, the system can determine, for each requesting user, an intent of the requesting user, the intent corresponding to a probability that the requesting user will utilize the transport service upon arrival at an arrival location of a transit vehicle. The system may determine a destination for the requesting user that requires additional transport from the arrival location of the transit vehicle. Based on the destination of the requesting user, the system can transmit a set of transport requests to computing devices of a set of the transport providers to facilitate transport for the requesting users at the arrival location of the transit vehicle.

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: Aspects of the present disclosure include systems, methods, and devices to facilitate routing of an autonomous vehicle (AV) based on pick-up or drop-off zones (PDZs) that are usable by the AV at destination location. A request for one or more PDZs that are usable by a vehicle to perform a pick-up or drop-off operation at a specified location is received from a vehicular autonomy system of the vehicle. A set of PDZs that are usable by the vehicle at the specified location is identified based on an association between information associated with vehicle and one or more PDZ objects in a data store. Each PDZ object comprising data describing a PDZ. A response is generated based on the set of PDZs and transmitted to the vehicular autonomy system. The response includes at least one PDZ identifier to the set of PDZs.

Abstract: Systems and methods herein describe receiving a target location from a computing device, using a machine learning model: determining a first access point and a second access point associated with the target location, causing presentation of the first access point as a first selectable user interface element and the second access point as a second selectable user interface within a graphical user interface on the computing device, receiving a first selection of the first selectable user interface element from the computing device; and in response to receiving the first selection, and initiating a trip request based on the refined map coordinates of the first access point.

Abstract: A system can receive user data from a computing device of a user. Based on the user data, the system can determine that the user will utilize a transport service to arrive at a destination location at a specified time. Prior to the specified time, the system can monitor transport service conditions within a region that includes a current location of the user, and determine a service request time for the user based at least in part on the transport service conditions. The system then automatically generates the service request for the user at the service request time to match the user to a transport provider.

Abstract: A monitoring system can receive sensor data from one or more sensors of a vehicle to monitor an exterior of the vehicle. Based on monitoring the exterior of the vehicle, the system can detect movement of one or more pedestrians in the exterior of the vehicle. Based at least in part on detecting the movement of the one or more pedestrians in the exterior of the vehicle, the system can output an alert to a driver of the vehicle via one or more output devices of the vehicle.

Abstract: Systems and method for dynamically managing add-on orders within a delivery service application. For example, a computer-implemented method includes obtaining data indicative of a primary order request. The method includes selecting, ranking, and displaying menu items for add-on orders associated with a primary order. The method includes obtaining user data provided by a user through a user interface associated with a delivery service application. The method includes determining, in response to obtaining the user data, that the primary order request is eligible for an add-on order. The method includes determining merchants for the add-on order. The selected merchants can be determined from a plurality of candidate merchants based at least in part on analysis of merchant-specific data relative to the user data indicative of the primary order request. The method includes updating the user interface to display data associated with the one or more selected merchants for the add-on order.

Abstract: A network system can receive a request data corresponding to a group request for service for multiple users. The request data can indicate a common destination or start location for the multiple users. The system transmits a first set of data to a first user device of the first user to cause the first user device to prompt the first user to input a start or destination location for the first user. The system then identifies a set of service providers to fulfill the group request for service for the multiple users.

Abstract: A computing system can receive service requests from computing devices of requesting users, with each respective service request including a start location and a destination location. For a respective service request, the system can transmit a transport invitation to a plurality of provider computing devices in accordance with a multi-invitation mode. The transport invitation is displayed on a respective provider computing device and selectable by the respective transport provider to accept the respective service request. The system can receive an acceptance of the transport invitation from two or more provider computing devices. Based on the received data from the two or more provider computing devices, the system can select a transport provider from the respective two or more transport providers associated with the two or more provider computing devices to service the respective service request.

Abstract: Systems and methods for generating and presenting an optimized path using sequential location trace clustering is provided. The system receives a request for a transportation service from a client device of a user. The request indicates a destination point (i.e., a pickup location) and is associated with a start point (i.e., a location at a time the user requested the transportation service). Based on the start point and destination point, the system identifies one or more paths between the start point and the destination point, whereby the one or more paths are generated using sequential location trace clustering from previous transportation services involving the start point and the destination point. The system then causes presentation of a path of the one or more paths on a user interface on the client device of the user with which the user can use to navigate to the destination point.

Abstract: A network system can communicate with user and provider devices to facilitate the provision of a network-based service. The network system can identify optimal service providers to provide services requested by users. The network can utilize context data in matching service providers with users. In particular, the network system can determine, based on context data associated with a user, whether to perform pre-request matching for that user. A service provider who is pre-request matched with the user can be directed by the network system to relocate via a pre-request relocation direction. When the user submits the service request after the pre-request match, the network system can either automatically transmit an invitation to the pre-request matched service provider or can perform post-request matching to identify an optimal service provider for the user.

Abstract: A trained computer model includes a direct network and an indirect network. The indirect network generates expected weights or an expected weight distribution for the nodes and layers of the direct network. These expected characteristics may be used to regularize training of the direct network weights and encourage the direct network weights towards those expected, or predicted by the indirect network. Alternatively, the expected weight distribution may be used to probabilistically predict the output of the direct network according to the likelihood of different weights or weight sets provided by the expected weight distribution. The output may be generated by sampling weight sets from the distribution and evaluating the sampled weight sets.

Abstract: A network system facilitates management of the operational states of transportation vehicles. Within a system environment, the network system also coordinates transport service between service providers operating the transportation vehicles and service requestors operating client devices. A transportation vehicle includes a processor or computing device that can determine and change operational states of the transportation vehicle. The transportation vehicle communicates operational states to one or more devices in the environment. Operational states can be communicated as vehicle datasets using a communication port of the transportation vehicle. The network system and client devices can act to enhance transport service using vehicle datasets. For example, the network system and/or client devices can manage an operational state by changing the current operational state off the transportation vehicle to a different operational state.