Connected Cities with Smart Transportation
Instructor: Hector Landes, New York University Hands-on exercise: Yes Level: No prior experience required. Schedule: Wednesday October 26, 2022, 1:00pm – 2:00pm Description: This course will be a general introduction to how to use open
Virtual Sessions: October 19th, 26th and November 2nd, 2022 In person symposium @ Tandon School of Engineering, NYU (Brooklyn Campus): November 4th, 2022 Register for all sessions here The FloodNet
Instructor: Talha Azfar, Ph.D Candidate at UTEP Hands-on exercise: Yes Level: No prior experience required. Schedule: Friday, November 4, 2022, 1:00pm – 2:00pm Description: Realistic digital geographical models of real-world locations are a necessary starting
Proper calibration process is key for traffic safety evaluations using simulation models. Allowing for a with and without comparison under controlled environment that is not directly testable in the field,
Inland and coastal floods caused by severe weather events have always been a threat for New York City (NYC). Only last year, Hurricane Ida brought massive precipitation to the city,
Instructor: Zhanhang Li, Rutgers University Hands-on exercise: Yes Level: No prior experience required. Schedule: Wednesday, November 11, 2022, 1:00pm – 2:00pm Description: This course will provide students with a foundational understanding of machine learning
The USDOT Connected Vehicle (CV) Pilot Program sought to test vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications to improve tranportation systems, mobility, and safety with real-world deployments in New York City,
Instructor: Hella Alnajjar, New York University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday, November 18, 2022, 1:00pm – 2:00pm Description: This course is for students who want to learn how
As transportation is increasingly electrified, understanding travel and charging choices of electric vehicle drivers and users of shared electric mobility systems is crucial for service planning and operations. Ultimately, quantitative
Transportation Techies is a group of technologists, urban planners, commuters and more who are interested in how technology can enable the future of mobility in metropolitan areas.
Dr. Linda Ng Boyle is a Professor of Industrial Systems Engineering & Civil and Environmental Engineering at the University of Washington
The increasing popularity of smart cities and recent developments in sensing, edge computing and vehicle technologies and the availability of “big data” combined with sophisticated AI techniques offer an opportunity