Lyft, Inc.

Hao Yi Ong

Davide Crapis

Ramon Dario Iglesias

Philippe Charles Amilcar Mizrahi

Praveen Athmanathan Panneer Selvam

Timothy Tay Chao

Jiayu Gong

Renaud Louis Jean-Paul De Peretti

Su Wang

Kevin Hsing-Chiang Fan

Shengke Zhou

Tejinder Singh Aulakh

Jae Ik Jin

Aseem Garg

Daniel Freund

This disclosure describes methods, non-transitory computer readable media, and systems that can determine locations and geospatial scores for pick-up events and other transportation events relative to geocoded areas at a given time period and generate geospatial-based proportion metrics for provider devices corresponding to such transportation events as proportional premiums for performing the events. For example, the systems determine locations of provider devices across geocoded areas for a particular time period. The systems can generate geospatial scores for transportation events of the provider devices occurring within the time period based on the specific locations and times of the events relative to the geocoded areas. Based on the geospatial scores and cumulative metrics accounting for such transportation events relative to the geocoded areas, the systems can generate geospatial-based-proportion metrics corresponding to such events for a graphical display on provider devices.

Dynamically generating geospatial-based-proportion metrics based on transportation events relative to geocoded areas

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and transmitting autonomous vehicle prepositioning instructions to improve network coverage. In particular, in one or more embodiments, the disclosed systems subdivide a geographic transportation service area into subregions, generate a set of waypoints and circuits for the subregions. Moreover, in one or more embodiments, the disclosed systems utilize an optimization model to assign autonomous vehicles to the set of waypoints and circuits and transmit digital prepositioning instructions to the autonomous vehicles to traverse the waypoints and circuits.

Generating and transmitting autonomous vehicle prepositioning instructions to improve network coverage

The present disclosure relates to systems, methods, and non-transitory computer-readable media that validate the performance of a dispatch model, such as a directive-based model, utilized for facilitating transportation matching services. For example, the disclosed systems can generate critical situations clusters composed of groups of critical transportation provider performance scenarios. From the critical situation clusters, the disclosed systems can sample one or more critical transportation provider situations that present a risk of degradation for the transportation matching services. Accordingly, the disclosed systems can measure a performance of the dispatch model by employing a simulation model that utilizes the dispatch model to propagate the critical transportation provider situations through time.

Modifying directive-based transportation dispatch models based on digital critical situation simulations

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San Francisco, CA, United States of America

Hao Yi Ong