FIRST KN-C³ WORKSHOP WITH KAIST
Over the course of May 15-18th, NYU Tandon hosted KAIST (Korea Advanced Institute of Science & Technology) for the first KN-C³ Workshop. KAIST faculty and students traveled from Korea for
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Tandon’s Research Excellence Exhibit
C2SMART students contributed to NYU Tandon’s Research Excellence Exhibit, held on Friday, April 28, 2023. This annual event illustrates the scope of advancements in research across the fields of engineering research and
5th Annual Women in Transportation Panel
On March 28, 2023, C2SMART Center and NYU’s student chapter of ITE hosted the 5th Annual Women in Transportation Panel at the NYU Tandon School of Engineering. The panel featured
COVID Transportation Impact Survey
C2MART Presents at NYC Vision Zero Research Symposium
On Wednesday, November 16, 2022, Town+Gown: NYC held its annual Vision Zero Research on the Road symposium, a public event for city agency staff, academic researchers, and other analysts to share recent findings that relate to road safety. Various topics were covered during the symposium, including the intersection of sustainability and traffic safety, enforcement and education, emerging trends in e-micromobility, speeding, substances and driving, and road design. C2SMART Center Director, Dr. Kaan Ozbay, and Senior Research Associate, Dr. Jingqin Gao, were invited to present C2SMART at the event.
2022 Student Researchers
Every year, C2SMART provides funding to outstanding transportation, urban planning, and engineering students whose work is designed to meaningfully advance the field of urban mobility.
A Cost-effective Approach Towards Building a Traffic Sign Data Inventory Using Open Street Images
Traffic signs are critical assets for roadway and infrastructure management. They are also in a great variety and different conditions. According to the asset management plan proposed by US DOT, the research team proposes a cost-effective approach to build a traffic sign data inventory using open street images.
C2SMART Mobility Data Dashboard: MATSim
As part of the MATSim-NYC development, we calibrated a behavioral model (estimated as a tour-based nested logit model) for choosing different modes of transportation in NYC, which was encoded into the MATSim-NYC simulation as utility function parameters. Using the COVID mobility data, we recalibrated the behavior model to reflect the increased aversion to use shared use modes like public transit.
C2SMART Mobility Data Dashboard COVID-19 Travel Survey
An online survey focusing on travel trends under the impact of COVID-19 was administered from July to October 2020, after approval by the Institutional Review Board (IRB). The objective of the survey is to look at how different disadvantaged population groups, especially people with disabilities and low-income households, were affected by the changes as a result of COVID-19.
C2SMART Mobility Data Dashboard White Papers & Publications
Over the course of the Mobility Data Dashboard’s development, C2SMART has published multiple white papers alongside peer-reviewed articles for transportation journals and conferences.