Connected Cities with Smart Transportation
Dynamic flow networks are a class of useful models for a variety of engineering systems including transportation systems, production lines and communication networks. This session will introduce its basic concepts, mathematical modeling and control strategies. The application will be illustrated with ramp metering, a typical strategy for freeway management.
As a follow-up learning of the previous learning hub course, “How to Build a Toy Computer Vision (CV) Model,” this course will introduce relatively more advanced object detection and tracking
In the State-of-the-Field event series, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They'll share advances, opportunities, predictions,
Instructor: Matthew Maggio, Software Engineer Hands-on exercise: Yes Level: No prior experience required. Schedule: April 22, 2022 | 1:00 PM – 2:00 PM ET Mobile development can seem overwhelming at first, however Google’s
Note: This is a hybrid event. Non-NYU attendees can join the event via Zoom and NYU students are encouraged to attend in person at 6 Metrotech Center, Room 460, Brooklyn, 11201. Due to current NYU
Research Excellence Exhibit 2022 is an annual public event that features exhibits that illustrate the scope of engineering and the applied sciences, and their potential for improving the world. This
We all rely on some form of transportation to access employment, education, health care, and other services. But not everyone has equal access to high-quality, reliable, and safe transportation. Even
“The Pink Tax” has emerged as a term used to describe the higher prices women pay for equivalent products and services: the classic example is that a pink “ladies’” razor
The 2022 NYU Transportation Joint Campus Research Summit seeks to bring together colleagues from New York City, Shanghai, and Abu Dhabi to exchange information and ideas from their current research,
Robust and reliable perception systems serve as the “eyes” of autonomous vehicles. LiDAR is a widely applied perception sensor in autonomous vehicles for capturing 3D geometry information of the environment. However, LiDAR-based perception faces
The FloodSense project, first seeded by C2SMART in 2020, developed a publicly-accessible platform that provides real-time flood information through deployed sensors capable of detecting the presence of water. Designed to
During a public transit service disruption, passengers usually need path recommendations to find alternative routes. In this webinar, MIT PhD Candidate Baichuan Mo will discuss his proposal for a mixed-integer