Lyft, Inc.

Logan Green

David Dryjanski

Lev Timourovich Popov

Frank Taehyun Yoo

Marc Haumann

Chris Lambert

Austin Broyles

Timothy O Brown

Luc Vincent

Taggart Matthiesen

Sameer Qureshi

A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.

Casual driver ride sharing

A system for determining a dispatch includes an input interface, a processor, and an output interface. The input interface is to receive a request for a first pickup including a first pickup location and a first destination. The processor is configured to determining a driver to dispatch to the first pickup location. The output interface is to provide a first pickup indication to the driver to go to the first pickup location. The input interface is further to receive a first pickup arrival indication indicating the driver arrived at the first pickup location. The output interface is further to provide a first destination indication indicating to the driver to go to the first destination. The input interface is further to receive a request for a second pickup including a second pickup location and a second destination.

Ride chaining

In one embodiment, a computing system of a vehicle may capture, using one or more sensors of the vehicle, sensor data associated with a first vehicle of interest. The computing system may identify one or more features associated with the first vehicle of interest based on the sensor data. The computing system may determine a driving behavior model associated with the first vehicle of interest based on the one or more features of the first vehicle of interest. The computing system may predict a driving behavior of the first vehicle of interest based on at least the determined driving behavior model. The computing system may determine a vehicle operation for the vehicle based on at least the predicted driving behavior of the first vehicle of interest.

Systems and methods for determining individualized driving behaviors of vehicles

Growing community of inventors

San Francisco, CA, United States of America

Logan Green