• The mentor Abdullah Kurkcu is guiding ARISE Students: Doris Chen(right) and Tabassum Fabiha(left) for their project.

    Summer students visit C2SMART

    C2SMART welcomes several new faces for the summer, including four undergraduate researchers and four high school students through the ARISE program. .

  • Dr. Daniel Rodriguez-Roman presented a seminar with a slide illustrating relationship between Vihicle Emissions, the Environment and Public Health

    Summer seminar to NYU Tandon

    Dr. Daniel Rodriguez-Roman, Assistant Professor of Civil Engineering at University of Puerto Rico, Mayagüez, presented a seminar during his visit to NYU Tandon this summer..

  • Assel Dmitriyeva presented her work on a destination recommender system for shared mobility services at Transit Techies NYC.

    Presentation at Transit Techies NYC

    Master’s student Assel Dmitriyeva presented her work on a destination recommender system for shared mobility services at Transit Techies NYC, a Meetup group for transit technology enthusiasts..

  • C2SMART

    2018 ITS NY 25th Annual Meeting and Technology Exhibition

    C2SMART researchers and staff participated in the 2018 ITS NY 25th Annual Meeting and Technology Exhibition, including displaying the group’s research and presenting on one of the conference panels..

  • Dr. Kaan Ozbay welcomes attendees in his opening remarks.

    C2SMART Holds Multi-Stakeholder Forum

    C2SMART hosted a forum at the NYU Tandon Brooklyn campus on May 23 on the Impact of Overweight, Heavier, and Larger Vehicles.

  • C2SMART students group photo on NYU Tandon Research Expo

    C2SMART on NYU Tandon Research Expo

    C2SMART students presented their recent research at the 2018 NYU Tandon Research Expo.

  • Researchers of Urban Mobility and Intelligent Transportation Systems Laboratory (UrbanMITS) in TRB 2018 annual conference

    TRB 2018 Annual Conference

    Researchers of Urban Mobility and Intelligent Transportation Systems Laboratory (UrbanMITS) presented 8 papers in TRB 2018 annual conference.

  • Researchers of Urban Mobility and Intelligent Transportation Systems Laboratory (UrbanMITS) in TRB 2018 annual conference

    TRB 2018 Annual Conference

    Researchers of Urban Mobility and Intelligent Transportation Systems Laboratory (UrbanMITS) presented 8 papers in TRB 2018 annual conference.

Mission Statement

New York University City Urban Mobility and Intelligent Transportation Systems Laboratory (UrbanMITS)is a multi-modal transportation infrastructure research and education facility combining a series of new concepts, technologies and services to integrate information, vehicles and transportation infrastructure to increase mobility, safety and comfort, and reduce energy waste and pollution. Since its inception, It has been a collaborative effort between the University, state and federal governments, and industry.

C2SMART, a USDOT Tier 1 University Transportation Center, uses cities as living laboratories to study challenging transportation problems and find solutions from the unprecedented recent advances in communication and smart technologies. C2SMART’s main research priority is improving mobility of people and goods, with a focus on smart cities. The center's research activities are divided into three areas, which together embody 9 of the 12 vision elements identified by USDOT as the major defining features of a smart city.

Recent Papers

The comparison between Total Double Parking by neighborhood and Commercial Double Parking by neighborhood in New York City. The Commercial one concentrates more in Manhatan.
Modeling Double Parking Impacts

Double parking is one of the key contributors to traffic congestion on urban streets. This study utilizes parking violation records for New York City along with field data collected using video recording, and adopts a comprehensive modeling approach that combines available data with two types of models: M/M/∞ queueing model and micro-simulation model. It can provide traffic agencies a potential approach to quantify the impact of double parking in a large-scale network and insights into the management and alleviation of on-street parking problems including incentives for encouraging off-hour deliveries and more effective enforcement during peak hours.

The ranking of Average Trip Distance and number of trips in Grand New York City area is Manhattan, Brooklyn, Queens, Bronx, Richmond
Human Mobility Study based on Geo-Located Twitter Data

The role of location in digital world has changed as expanding numbers of internet users including location information to their posts and these digital footprints allowed researchers to study the spatial and temporal characteristics of human activity and mobility patterns. This paper introduces an approach to collecting and utilizing geo-located Twitter status updates to report a quantitative assessment of human mobility. The results show that Twitter users follow the “Lévy Flight” mobility patterns. Moreover, the estimated mobility flows are found to be similar to the ground-truth data obtained from NYMTC Regional Household Travel Survey.

Three themeral pictures show Crash Cost, Subway Ridership and Bus Stop Density in Manhattan, the downtown area has highest crash cost and ridership. Area around central park, little Italy and battery park has the highest bus stop density.
Analysis of Pedestrian Safety Using Big Data

This study explores the potential of using big data including taxi trip, subway turnstile, road network, land use, socio-demographic data in advancing the pedestrian safety analysis including the investigation of contributing factors and the hotspot identification. A tobit model is developed to relate grid cell-specific contributing factors to crash costs which are left-censored at zero. The potential for safety improvement (PSI) which could be obtained by using the actual crash cost minus the cost of “similar” sites estimated by the tobit model was used as a measure to identify and rank pedestrian crash hotspots.

The Comparison between Taxi and Subway in Irene and in Sandy. The Recovery rate of Irene is much faster than Sandy.
Data Driven Resilience Study

The study investigates spatio-temporal variations of transportation system recovery behavior, Recovery curves are estimated for each evacuation zone category to model time-dependent recovery patterns of the roadway and transit systems. The methodology proposed in this study can be used to evaluate the resilience of transportation systems to natural disasters and the findings can provide government agencies with useful insights into emergency management.