On-Demand High-Capacity Ride-Sharing Via Dynamic Trip-Vehicle Assignment

Exclusively Licensed

Described are concepts, systems, devices and techniques for real-time high-capacity ride-sharing that (i) scales to large numbers of passengers and trips and (ii) dynamically generates routes (e.g. optimal or near optimal routes) in response to online demand and vehicle locations.

Researchers

Daniela Rus / Alexander Wallar / Samitha Samaranayake / Javier Alonso Mora

Departments: Dept of Electrical Engineering & Computer Science
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Networking & Signals / Industrial Engineering & Automation: Autonomous Systems, Logistics

  • system for on-demand high-capacity ride-sharing via dynamic trip-vehicle assignment and related techniques
    United States of America | Granted | 11,614,751
  • on-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
    United States of America | Granted | 11,619,951

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