Starting the project METS-R: Multi-modal Energy-optimal Trip Scheduling in Real-time for Transportation Hubs

Starting the project METS-R: Multi-modal Energy-optimal Trip Scheduling in Real-time for Transportation Hubs

This ongoing collaborative project focuses on development and evaluation of the real-time energy-efficient autonomous vehicle solutions to serve major transportation hubs of NYC (such as JFK, LaGuardia, Penn station). Our lab’s role includes anomaly detection in transportation demand data as well as implementing dynamic ride-sharing and routing solutions for shared autonomous mobility.

The project is conducted in collaboration with Purdue university under support of US Department Of Energy.

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