C2SMART’s Farnoosh Namdarour wins Infratech Graduate Scholarship
Congratulations, Farnoosh!
Congratulations, Farnoosh!
ROUTE DRIVE DELIVER BETTER. the problem In New York City, all vehicles defined as a truck are required to follow the truck route network and are reliant on a static
Each year, since 2009, ITE student chapters from Canada and the United States participate in a competition known as the ITE Collegiate Traffic Bowl. This competition features teams comprised of
As transportation technology continues to rapidly evolve and develop, New York City is rapidly approaching a world where autonomous vehicles are part and parcel of the urban mobility landscape. A
How do we know whether a section of the roadway is at high safety risk?
Historically, the answer has been relatively straightforward: we count the number of crashes at that location over a period of time and compare it to other roadway sections. If the roadway section of our interest contains a high number of crashes, we then decide what can be done, if anything, to lower the number of crashes.
This method has been the go-to method for safety evaluation for decades, and with good reason. The number of crashes (or other crash-based safety measures) at a roadway section is a fairly straightforward piece of evidence regarding its relative safety risk level.
There’s only one problem with it, which is that in order to obtain this data, we have to wait for crashes to happen.
But, thanks to big data, there is a different way to do things.
ITS New York held its 29th Annual Meeting and Technology Exhibition on Thursday, June 16 – Friday June 17, 2022 in Saratoga Springs, New York. C2SMART was well-represented at the event, with three student presenters and a booth where we were able to meet other attendees and discuss C2SMART’s work and ongoing projects.
C2SMART Director Kaan Ozbay, along with Senior Research Associate Jingqin Gao, were interviewed by IEEE Spectrum’s Dexter Johnson for the June 2022 issue, which features an article on C2SMART’s Mobility Dashboard called AI Tool for COVID Monitoring Offers Solution for Urban Congestion.
C2SMART proudly congratulates, and celebrates, Professor John Falcocchio for fifty years of service to NYU. Dr. Falcocchio has been professor of transportation planning and engineering since 1981.
Daniel Vignon is currently pursuing his PhD in Civil Engineering and MA in Economics at the University of Michigan. Under the supervision of Professor Yafeng Yin, his research seeks to inform the design, regulation and operation of emerging mobility services and of smart infrastructure systems. Drawing from his background in both engineering and economics, he models and analyzes the interactions of these systems with different markets, studies their impact on social welfare, and designs policies to maximize welfare. He holds a BSc in Mechanical Engineering from the Massachusetts Institute of Technology.
Eugene Vinitsky has a PhD in controls and optimization from UC Berkeley’s Mechanical Engineering department. Prior to that, he received his MS in physics from UC Santa Barbara and a BS in physics from Caltech.