Edge Computing for Safer and Smarter Transportation Applications Sensors are essential for the intelligence needed by smart cities, particularly smart transportation applications, and have been increasingly deployed over the past decade. Although these sensors are capable of collecting a substantial amount of data, the bandwidth and cost constraints of the communication network may not allow…
DetailsProtecting Traffic Infrastructure with Weigh In Motion (WIM) Overloaded vehicles significantly contribute to road damage. Reducing the number of overloaded vehicles on roads and bridges is crucial to reduce maintenance costs and increase the lifetime of this infrastructure. Weigh In Motion (WIM) systems contribute in two ways to this goal. On the one hand side,…
Details2021 Center Request for Proposals Please note the deadline to submit a proposal abstract for consideration has been extended to Sunday, November 29 at 11:59 PM EST C2SMART is soliciting proposals from its consortium faculty for research projects in 2021. In addition to the merit of the proposed research, projects will be selected based on their proposed…
DetailsPublic Traffic Cams and Computer Vision to Analyze Social Distancing Trends To investigate crowd density and the effectiveness of social distancing strategies, C2SMART researchers introduced a low-cost, AI-driven big data acquisition framework leveraging hundreds of public traffic cameras along with a deep learning-based video processing method. Object detection and distance approximation between pedestrian pairs were…
DetailsTransportationCamp 2020 TransportationCamp NYC 2020 returned to C2SMART and NYU Tandon to foster open conversations on mobility and collaborate to address the radical changes experienced by transportation globally. Transportation Camp is an unconference–unlike a traditional conference, the specific session topics were determined by participants, which provided each attendee an opportunity to lead and shape the…
DetailsNew Degradation Models Based on Pre-Cracked Bridge Deck Rebars to Better Address Infrastructure Corrosion In this webinar, Professor David W. Coit presents a new reliability model based on a two-stage gamma process model, developed for steel rebar corrosion under accelerated conditions. Deterioration of concrete structures is a major concern and corrosion of steel reinforcement is…
DetailsC2SMART Announces Student Entrepreneurial Grant Competition At its roots, engineering is about the invention, design, and development of new products that improve society. To foster this activity among our students, C2SMART is launching an entrepreneurship program in which grants to improve our transportation systems and mobility for all by way of entrepreneurial activity. Up to…
DetailsC2SMART Learning Hub C2SMART is excited to launch the “C2SMART Student Learning Hub” series in an effort to bring together the C2SMART community and to provide skills and tips for conducting research. With free access to the C2SMART Student Learning Hub for all members of the C2SMART Consortium, students can master research- or job-ready skills…
Details2020 C2SMART Student of the Year – Apply Now! Each year, the C2SMART Center acknowledges one student from any of its member institutions as a Student of the Year as chosen by the Center’s executive leadership committee. The chosen student will be acknowledged and be awarded: A cash prize of $1,000 and a certificate from…
DetailsDevelopment of a Mobile Web App for Micromobility Parking Management Dockless bikesharing and scootersharing (collectively, micromobility) services have expanded mobility for their users, but improper parking of bikes and scooters is a leading complaint from residents. A team led by Don MacKenzie at the University of Washington has developed Misplaced Wheels (misplacedwheels.com), a mobile web…
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