Connected Cities for Smart Mobility toward Accessible and Resilient Transportation
Presented by Prof. Reuben Tamakloe, Research Assistant Professor, KAIST Abstract: Personal Mobility Devices (PMDs) have seen a remarkable rise in popularity, becoming a preferred mode of urban transportation. However, this surge has brought
Hosted by Morteza Bagheri, Associate Professor, Iran University of Science and Technology (IUST) Recently, the United States has faced several significant freight train derailments involving hazardous materials (HAZMAT), raising serious
The Civil and Urban Engineering Department is hosting a Minor Preview event on Tuesday, September 17th from 1230-2pm. This is a great opportunity for you to learn about the minors offered in
Come meet your fellow students and faculty, learn about upcoming courses, programs, and research opportunities in transportation and urban systems, and eat snacks!
Workshop Agenda 9:30 am - 9:45 am Breakfast & Opening 9:45 am - 10:30 am Presentation Session 1 Gerry Bogacz, Planning Director, NYMTC, "NYMTC’s Non-Discrimination Framework" Chris Pangilinan, Chief, Operations Planning, MTA,
Public transportation plays a critical role in the fight against climate change. Transportation is the single largest source of greenhouse gas (GHG) emissions, accounting for about 28% of the U.S.
Instructor: Tu Lan & Vivaldi Rinaldi, New York University Beginner level: No prior experience required. Schedule: Friday, October 11, 1:00 pm – 2:00 pm ET Description: Drones are becoming an
Instructor: Irving Fang, New York University Beginner level: No prior experience required. Schedule: Wednesday, Oct 23th, 2024 1:00 PM - 2:00 PM Description: In the talk, we will discuss some
TransportationCamp NYC will be held on Saturday, October 26th at NYU's Tandon School of Engineering in Downtown Brooklyn. Join us to discuss all things transportation and connect with professionals, students,
Abstract: Rapidly developing mobile and sensor networks are accumulating massive volumes of human mobility data in cities. Predictive modeling on these data is a fundamental problem in building decision support