Uber Technologies, Inc.

Michael Charles Albada

Dineshkumar Karuppanna Gounder Ramasamy

Vivek Sankaravadivel

Saebra Lynn Waterstraut

Systems and methods for generating and presenting an optimized path using sequential location trace clustering is provided. The system receives a request for a transportation service from a client device of a user. The request indicates a destination point (i.e., a pickup location) and is associated with a start point (i.e., a location at a time the user requested the transportation service). Based on the start point and destination point, the system identifies one or more paths between the start point and the destination point, whereby the one or more paths are generated using sequential location trace clustering from previous transportation services involving the start point and the destination point. The system then causes presentation of a path of the one or more paths on a user interface on the client device of the user with which the user can use to navigate to the destination point.

Sequential location trace clustering

Example embodiments are directed to systems and methods for generating and providing elevation-aware hotspots. In example embodiments, a network system detects an initiation of a request for a transportation service at a client device of a user and receives an indication of a location of the client device and corresponding signal strengths associated with the client device. The network system then determines a telematics vector based on the signal strengths associated with the client device. Based on the location of the client device and the telematics vector associated with the client device, the network system identifies one or more top ranked elevation-aware hotspots. A pickup point recommendation is then presented, by the network system on a user interface on the client device of the user, whereby the pickup point recommendation includes the one or more top ranked elevation-aware hotspots.

Elevation-aware hotspot generation system

A network system receives, from each of a plurality of client devices, a transmission of a scan of signals from signal broadcasting devices. A vector is created from each scan, whereby the vector comprises a received signal strength indicator (RSSI) to each unique signal broadcasting device. Based on the vector created from each scan, the network system determines a probability that the client devices are co-present. The probability is determined based on applying the vectors to a copresence estimation function that uses an angular similarity, a magnitude similarity, and a number of signal broadcasting devices. Based on the probability, the network system triggers a component to perform a corresponding operation.

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San Francisco, CA, United States of America

Michael Charles Albada