Connected Cities for Smart Mobility toward Accessible and Resilient Transportation
project posts that is managed in CIP
Project Description Research Outcomes/Impacts Personnel Eugene Vinitsky Assistant Professor, NYU Eugene Vinitsky is the Principal Investigator on this project. Deliverables Datasets Details
Project Description Research Outcomes/Impacts Personnel Kelvin Cheu ASSOCIATE DIRECTOR, C2SMARTER PROFESSOR, UTEP Kelvin Cheu is the Principal Investigator on this project. ADEEBA ABDUL RAHEEM DIRECTOR, UTEP Adeeba Abdul Raheem is
Project Description Research Outcomes/Impacts Personnel HANI NASSIF ASSOCIATE DIRECTOR, C2SMARTER PROFESSOR, RUTGERS Hani Nassif is the Principal Investigator on this project. Chaekuk Na Post-doctoral ASSOCIATE, RUTGERS Chaekuk Na is a
Project Description Research Outcomes/Impacts Personnel JEFF BAN Professor, UW Jeff Ban is the Principal Investigator on this project. Angela Kitali Assistant Professor, UW Angela Kitali is a Co-Principal Investigator on
Project Description Emergency response time is the key indicator of a city’s incidents management ability and resiliency. Reducing response time saves lives and prevents property losses. However, overpopulation and urbanization
Project Description Research Outcomes/Impacts Personnel Marc Norman Associate Dean, NYU Marc Norman is the Principal Investigator on this project. Matthew Kwantinetz Director, NYU Matthew Kwantinetz is a Co-Principal Investigator on
Project Description Research Outcomes/Impacts Personnel Sarah M. Kaufman DIRECTOR, NYU RUDIN CENTER FOR TRANSPORTATION Sarah Kaufman is the Principal Investigator for this project Deliverables Datasets Details
Project Description Research Outcomes/Impacts Personnel Yi Qi Associate Professor and Chair, TSU Yi Qi is the Principal Investigator on this project. Mehdi Azimi Assistant Professor, TSU Mehdi Azimi is a
Overview Highway transportation is the most common mode of transport in the U.S. for the movement of goods and services, as it provides quick delivery of shipments traveling short distances
This project is focused on developing a deep learning based data acquisition and analytics tool using vision-based sensors (i.e., cameras) to understand cities with machine eyes.