Connected Cities for Smart Mobility toward Accessible and Resilient Transportation
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 the four-day workshop for a research exchange between the two schools, which focused on transportation and urban research.
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 the applied sciences — and their potential for improving the world.
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. Over 50 rising transportation professionals attended the hour-long panel discussion focused on gender equity in the workforce and throughout global transportation systems. The panelists shared insights about their experiences as women in a male-dominated field of work, including gender challenges in transportation, advice for overcoming those challenges, and tips for aspiring transportation engineers and planners.
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.
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.
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.
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.
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.
C2SMART Mobility Data Dashboard An all-in-one data dashboard was built with interactive analytics and visualization of various mobility data sources. The mobility board presents multi-data views in terms of vehicular