Included in this vote is an interdisciplinary team from Columbia University led by Gil Zussman (Electrical Engineering), Zoran Kostic (Electrical Engineering), Sharon Di (Civil Engineering), Qiang Du (APAM) and several students and postdocs. The project is funded by NSF and FWHA to develop a digital twin of the city to manage urban traffic.
The system is trained using data collected from a city-scale, wireless testbed in West Harlem, COSMOS. The overarching goal is to improve road safety, enhance operational efficiency, reduce congestion, and lower emissions. With the developed Digital Twin deployed from the intersection level to the city scale, adaptive management strategies in real time are performed, which helps mitigate traffic congestion, optimize traffic flow, and reduce emission levels. People moving around would experience a smoother journey, experience fewer red traffic light stops and less delay, as well as lower emissions. Pedestrians would feel safer to cross streets with situational-awareness. The disabled would feel easier to cross intersections with extended green lights. Overall, the neighborhood communities would benefit with safer, quicker, and greener travel. City agencies are engaged as potential users. A co-educational platform aims to transfer knowledge to the next-generation engineers and practitioners, so that engineers are equipped with the foundational knowledge and tools to develop urban Digital Twins and better manage cities.
Cast Your Vote for 13. Transportation - The Digital Twin of New York City.
13 is our Lucky Number!
