Connected Cities for Smart Mobility toward Accessible and Resilient Transportation
The inaugural event of the NYC 2025: Road to Recovery Series, a partnership between NYU Wagner and the Stern Center for Sustainable Business, presents an interactive panel featuring contributors to NYC 2025. Panelists will discuss their vision for a stronger, fairer and more equitable New York City.
What does the best of transportation engineering research have to say about maintenance, rehabilitation, and replacement of critical infrastructure? Structural Health Monitoring provides critical insight into answering these questions using new technologies that are changing the ways we tackle maintenance and rehabilitation of structures.
Dr. Sikai (Sky) Chen will discuss recent developments in vehicle automation with mixed traffic stream, including the challenges and opportunities associated with AI/ML algorithm development and application for CAV operations.
As C2SMART heads into its sixth year of projects, we are reshaping our RFP process to solicit a project slate which will be bigger and bolder than ever before. We are looking for projects which showcase possibility, addresses complex challenges, broadens collaboration, and directly strengthens the transportation field. Across and underlying each of these themes, however, will be an emphasis on transportation equity. Each proposal will, in some form, need to be prepared to discuss how the project will directly address equity concerns, or else include an equity performance measure of some kind.
To realize the full potential of AVs, Dr. Li proposes a roadmap of cooperative & automated transportation, from optimal trajectory control in ideal conditions through a cooperative control framework incorporating edge computing and machine learning under real-world constraints.
We will walk through data preparation and processing steps with language modeling tools in Python (e.g., Doc2Vec, Sentence-BERT) for computing text/document similarity and discuss several practical applications of such NLP techniques in transportation related downstream tasks.
Researchers led by Professor Yury Dvorkin, NYU Tandon, and Professor Burçin Ünel, Energy Policy Director at the Institute for Policy Integrity at NYU School of Law, will update on their research so far, seeking input from primary stakeholders to understand the technological gaps that prevents widespread expansion of EV charging infrastructure and to encourage their continued participation in this research to drive practically feasible and ethical research outcomes.
Bus Stop Chatter is a new series from C2SMART which brings transportation students into conversation with some of today's leading mobility companies to discuss innovation, disruption, and possibility in today's smart cities. In this installment, we will be joined by Laura Fox, General Manager at Lyft's CitiBike program, to discuss the role of shared mobility systems, from bikes to taxis, in driving the evolution of smart cities and urban mobility. Laura will share updates and highlights from Lyft's micromobility programming, and discuss bike safety with C2SMART student Suzana Duran Bernardes, followed by an audience Q&A.
Have an idea for a startup, research project, or other academic program?
This information session will walk students and faculty mentors through the different opportunities for funding available through the C2SMART Center’s annual call for proposals.
It's a chance for current students to get to know their peers, for interested students to learn more about the minor, and to address any questions they might have about job/internship opportunities, course requirements, grad school, research, student activities, and more.
Weigh-In-Motion (WIM) provides an efficient way to estimate the static weight of a vehicle by measuring the dynamic tire force of a moving vehicle. Recently, emphasis has been placed on coupling these two complementary technologies in infrastructure evaluation and resiliency: SHM provides structural response or resistance while WIM provides actual loading conditions and future load prediction that enables determination of infrastructure capacity, resulting in the operating service loads needed for developing statistical live load models for use at the strength and service limit states.
This event explores forensic analysis and recording of vehicle dynamic performance tests and investigations. To accomplish these tests and investigations, researchers developed forensically accurate and reliable test monitoring and recording instruments. Because the tests were usually sequential and interactive between the vehicle operator and the particular exemplar vehicle, those instruments have to allow for real time graphical readouts and displays of parameters from both vehicle data networks and from instrumentation data networks.