Uber Technologies, Inc.

Michael Douglas Place

Yichen Wang

Ran Sun

Suchit Dubey

Elizabeth Gabriella Oliva

A computer-implemented method includes accessing data descriptive of a plurality of freight lanes, each freight lane being associated with a pickup region and a dropoff region for one or more loads, wherein each of the plurality of freight lanes includes one or more lane attributes; determining that two or more freight lanes of the plurality of freight lanes satisfy at least one clustering criteria indicative of a similarity between the two or more freight lanes based at least in part on the one or more freight lane attributes; in response to determining that the two or more freight lanes meet the at least one clustering criteria, clustering the two or more freight lanes to generate a clustered freight lane including the two or more freight lanes; receiving a request from a carrier computing device to associate a carrier with the clustered freight lane; and assigning at least one load of the one or more loads associated with the two or more freight lanes including the clustered freight lane to the carrier based at least in part on the request from the carrier.

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New York, NY, United States of America

Michael Douglas Place