Lyft, Inc.

Garrett Van Ryzin

John Torres Fremlin

Mayank Gulati

Demitri Nava

Mengqi Niu

Aidan Church

Matthew Lawrence Green

Shashi Kant Sharma

Daniel Allen Sullivan

Helen Wai-Quen Bentley

Yilei Li

Rachel Marie Wasko

Sebastien Jean Francois Martin

Christopher Sholley

Jianzhe Luo

Xabier Azagirre Lekuona

Jeremy Alexander Karp

Wilson James Turner

Adam Greenhall

The present application discloses systems, methods, and computer-readable media that utilize computer-implemented models to monitor surplus provider device slots and transmit digital invitations to provider devices to join an online mode by dynamically leveraging previous transportation provider device requests within a threshold rejection time span. For instance, the disclosed systems can identify rejected provider devices that requested to be in an online mode of a transportation matching application within a geographical area. Then the disclosed systems can monitor device activity over computer networks and determine a number of surplus provider device slots corresponding to the geographical region. Furthermore, the disclosed systems can select provider devices (that were rejected within a threshold rejection time span) from the previously rejected requests. Furthermore, the disclosed systems can transmit digital invitations to join the online mode to selected provider devices with a guaranteed online mode slot for a threshold reservation time.

Dynamically transmitting online mode invitations to provider devices in response to detected changes in provider device efficiency

The disclosed systems can regulate access to an online mode for a dynamic transportation matching system. For example, based on a provider efficiency parameter associated with the dynamic transportation matching system, the disclosed systems can prevent a transportation provider device from switching to the online mode within a geographic area. In addition, the disclosed systems can detect a pattern of behavior and, based on a comparison between the pattern of behavior and a behavioral threshold, cause a transportation provider device to switch from the online mode to an offline mode. Further, the disclosed systems can provide a map interface that indicates where a transportation provider device can switch from the offline mode to the online mode. Additionally, the disclosed systems can determine priorities associated with transportation provider devices and, based on the prioritization, selectively allow the transportation provider devices to switch from the offline mode to the online mode.

Dynamically adjusting transportation provider pool size

The present application discloses systems, methods, and computer-readable media that utilize computing devices to model multi-outcome transportation-value metrics that account for spatio-temporal trajectories across locations, times and other contextual features, and then utilize computer networks to dispatch provider devices to locations based on the multi-outcome transportation-value metrics. Moreover, the disclosed systems can utilize these multi-outcome transportation-value metrics and/or other models to manage and utilize dynamic transportation dispatch modes to more efficiently align provider devices and requestor devices across computer networks. For instance, the disclosed system can dispatch a provider device based on a discounted multi-outcome transportation-value metric. Furthermore, the disclosed system can dynamically determine prioritized dispatch mode provider device slots, fill provider device slots based on performance metrics, and then select provider device from between a prioritized transportation dispatch mode and another transportation dispatch mode based on prioritization metrics corresponding to a transportation request.

Dispatching provider devices utilizing multi-outcome transportation-value metrics and dynamic provider device modes

The disclosed computer-implemented method may include matching transportation requests to transportation providers using a dynamic transportation matching system. Matching transportation requestors which have varying preferences for waiting times and transportation pricing with transportation providers having varying levels of available supply may involve matching methods that satisfy the transportation requestors while maintaining an appropriate level of supply. A method which provides immediate service for transportation requestors that may be willing to pay a premium fare while placing transportation requestors not willing to pay a premium fare and may be willing to wait may provide a balance of supply and demand of transportation providers. Accordingly, immediately matching transportation requestors not willing to wait while placing the transportation requestors willing to wait in a queue may provide the balanced approach to managing transportation provider availability. Other methods, systems, and computer-readable media are disclosed.

Systems and methods for queueing in dynamic transportation networks

Growing community of inventors

Brooklyn, NY, United States of America

Garrett Van Ryzin