Abstract: The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

Abstract: The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently pre-dispatching candidate provider devices to a geographic area by utilizing a pre-dispatch model accounting for forecasted transportation requests. For example, the disclosed systems can determine how many candidate provider devices to pre-dispatch to a geographic area based on a variety of inputs, including a projected requestor device queue, a projected provider device queue, and/or a queue capacity. In particular, the disclosed systems can utilize a look-ahead model and a look-behind model to compare a queue capacity with projected provider device queues corresponding to estimated times of arrival for one or more candidate provider devices. If the projected provider device queues comport with the queue capacity according to both the look-ahead model and the look-behind model, the disclosed systems can proceed with pre-dispatching the candidate provider device to the geographic area.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently determining to assess (or not assess) a cancellation penalty and notifying a requestor device of such a penalty in response to either a requestor's selection to cancel a single transportation request for a requestor or a requestor's selection to cancel a shared-transportation request associated with multiple requestors. For example, the disclosed systems can generate conversion probabilities for a requestor reflecting if a cancellation penalty is assessed—and if the cancellation penalty is not assessed—for a cancellation of a transportation request for transport of a lone requestor. Based on the conversion probabilities, the disclosed systems customize a cancellation notice for a requestor device to either include or exclude the cancellation penalty.

Abstract: The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.

Abstract: This disclosure describes an arrival determination system that determines a hiking distance for a transportation request and further enables a provider device to indicate arrival for pickup based on monitoring a location of the provider device. For example, the disclosed systems utilize a hiking distance predictor model to analyze request features associated with a transportation request to determine a hiking distance based on the request features. In addition, the disclosed systems monitor a location of a provider device of a provider matched to service the transportation request to determine when the provider device is within the hiking distance of a requested pickup location. Based on determining that the provider device is within the hiking distance, the disclosed systems enable the provider device to notify a requester device that the provider has arrived for pickup.