Abstract: The disclosed computer-implemented method may include identifying and notifying requestors that may be candidates for a particular autonomous vehicle in order to find those candidates that may be willing or able to relax their travel constraints to match the autonomous vehicle. A request flow may involve surfacing the potential option of matching to an autonomous vehicle before setting a specific destination. For example, the request flow may involve determining that an autonomous vehicle is sufficiently near an in-session potential requestor. Before the potential requestor enters a specific destination, the request flow may present the possibility of the potential requestor being matched with the autonomous vehicle. In some examples, the request flow may then provide available drop-off locations that are compatible with the autonomous vehicle for selection by the potential requestor. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may determine one or more characteristics of an autonomous vehicle, determine one or more characteristics of one or more road segments of a geographic area, determine at least one geographic zone for the autonomous vehicle within the geographic area based at least on the characteristics of the autonomous vehicle and the characteristics of the one or more road segments of the at least one geographic area, and match a request with the autonomous vehicle within the at least one geographic zone based at least in part on a request location and a destination location of the request being associated with the at least one geographic zone. Other methods, systems, and computer-readable media are disclosed.

Abstract: The disclosed computer-implemented method may determine one or more characteristics of an autonomous vehicle, determine one or more characteristics of one or more road segments of a geographic area, determine at least one geographic zone for the autonomous vehicle within the geographic area based at least on the characteristics of the autonomous vehicle and the characteristics of the one or more road segments of the at least one geographic area, and match a request with the autonomous vehicle within the at least one geographic zone based at least in part on a request location and a destination location of the request being associated with the at least one geographic zone. Other methods, systems, and computer-readable media are disclosed.

Abstract: The disclosed computer-implemented method may include identifying and notifying requestors that may be candidates for a particular autonomous vehicle in order to find those candidates that may be willing or able to relax their travel constraints to match the autonomous vehicle. A request flow may involve surfacing the potential option of matching to an autonomous vehicle before setting a specific destination. For example, the request flow may involve determining that an autonomous vehicle is sufficiently near an in-session potential requestor. Before the potential requestor enters a specific destination, the request flow may present the possibility of the potential requestor being matched with the autonomous vehicle. In some examples, the request flow may then provide available drop-off locations that are compatible with the autonomous vehicle for selection by the potential requestor. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include identifying and notifying requestors that may be candidates for a particular autonomous vehicle in order to find those candidates that may be willing or able to relax their travel constraints to match the autonomous vehicle. A request flow may involve surfacing the potential option of matching to an autonomous vehicle before setting a specific destination. For example, the request flow may involve determining that an autonomous vehicle is sufficiently near an in-session potential requestor. Before the potential requestor enters a specific destination, the request flow may present the possibility of the potential requestor being matched with the autonomous vehicle. In some examples, the request flow may then provide available drop-off locations that are compatible with the autonomous vehicle for selection by the potential requestor. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include efficiently surfacing the availability of constrained transportation options such that the utilization of those options is at least partially maximized and directed to users for whom the options would be a positive user experience. During busy times, requests for transportation with a high estimated arrival time and/or to a low-demand area may not be the most efficient matches for constrained transportation options such as autonomous vehicles. Instead, waiting for a transportation request with a lower estimated arrival time and/or to a higher-demand area may be a better choice in terms of maximizing the percentage of time an autonomous vehicle spends transporting passengers and reducing the time passengers spend waiting for an autonomous vehicle. In some embodiments, dynamically altering the mode-availability radius of an autonomous vehicle may increase the utilization of the autonomous vehicle.

Abstract: The disclosed computer-implemented method may include identifying and notifying requestors that may be candidates for a particular autonomous vehicle in order to find those candidates that may be willing or able to relax their travel constraints to match the autonomous vehicle. A request flow may involve surfacing the potential option of matching to an autonomous vehicle before setting a specific destination. For example, the request flow may involve determining that an autonomous vehicle is sufficiently near an in-session potential requestor. Before the potential requestor enters a specific destination, the request flow may present the possibility of the potential requestor being matched with the autonomous vehicle. In some examples, the request flow may then provide available drop-off locations that are compatible with the autonomous vehicle for selection by the potential requestor. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may determine one or more characteristics of an autonomous vehicle, determine one or more characteristics of one or more road segments of a geographic area, determine at least one geographic zone for the autonomous vehicle within the geographic area based at least on the characteristics of the autonomous vehicle and the characteristics of the one or more road segments of the at least one geographic area, and match a request with the autonomous vehicle within the at least one geographic zone based at least in part on a request location and a destination location of the request being associated with the at least one geographic zone. Other methods, systems, and computer-readable media are disclosed.