C2SMART researchers developed a more efficient, secure, blockchain-based system to story mobility data on a distribute ledger. To store this...
Read MoreKaan M.A. Özbay joined Department of Civil and Urban Engineering and Center for Urban Science and Progress (CUSP) at NYU in August 2013. Since 2017, Professor Ozbay has been the Founding Director of the C2SMART Center (Tier 1 UTC funded by USDOT). He is also Global Network Professor of Civil and Urban Engineering, NYU Abu Dhabi (NYUAD) and Global Network Professor of Engineering and Computer Science, NYU Shanghai (NYUSH). Professor Ozbay was a tenured full Professor at the Rutgers University Department of Civil and Environmental Engineering. He joined Rutgers University as a tenure track Assistant Professor in July, 1996. In 2008, he was a visiting scholar at the Operations Research and Financial Engineering (ORFE) Department of Princeton University.
Dr. Ozbay is the recipient of the prestigious National Science Foundation (NSF) CAREER award. Dr. Ozbay is the co-editor of an edited book titled “Dynamic Traffic Control & Guidance” published by Springer Verlag’s “Complex Social, Economic and Engineered Networks” series in 2013. In addition to this book, Dr. Ozbay is the co-author of three other books titled “Feedback Based Ramp Metering for Intelligent Transportation Systems” published by Kluwer Academics in 2004, “Feedback Control Theory for Dynamic Traffic Assignment”, Springer-Verlag and “Incident Management for Intelligent Transportation Systems” published by Artech House publishers both in 1999.
Dr. Ozbay published approximately 425 refereed papers in scholarly journals and conference proceedings. Professor Ozbay serves as the “Associate Editor” of Networks and Spatial Economic journal and Transportmetrica B: Transportation Dynamics journal. He is a member of the editorial board of the ITS journal.
Professor Ozbay served as the elected member of Board of Directors of the Intelligent Transportation Society of New Jersey in 2013. He has been an active member of national and international scientific and professional committees and organizations, including IEEE, ITE, ASCE, AASHTO and the Transportation Research Board (TRB) of the US National Academies. He also served as a member of the Board of Directors of the University Transportation Research Center (UTRC) at the City University of New York – USDOT’s Region 2 University Transportation Center.
Since 1994, Dr. Ozbay, has been the Principal Investigator and Co-Principal Investigator of 120 projects funded at a level of more than $30,00,000 by National Science Foundation, NJDOT, NYMTC, NY State DOT, New Jersey Highway Authority, USDOT, FHWA, VDOT, CUNY University Transportation Research Center (UTRC), Department of Homeland Security, USDOT ITS Research Center of Excellence. He was the founding director of the Rutgers Intelligent Transportation Systems (RITS) laboratory.
Research Interests: Development of simulation models of large scale complex transportation systems, advanced technology and sensing applications for Intelligent Transportation Systems, modeling and evaluation of traffic incident and emergency management systems, feedback based on-line real-time traffic control techniques, traffic safety, application of operations research techniques in network optimization and humanitarian inventory control, and transportation economics.
C2SMART Projects
Evaluation of Integrated Overweight Enforcement System using High Accuracy WIM System and Non-Proprietary ALPR System
Overview Highway transportation is the most common mode of transport in the U.S. for the movement of goods and services,...
Read MoreExploring Cost-effective Computer Vision Solutions for Smart Transportation Systems
This project is focused on developing a deep learning based data acquisition and analytics tool using vision-based sensors (i.e., cameras)...
Read MoreWork Zone Safety: Virtual reality-based traffic co-simulation platform for workforce training and pedestrian behavior analysis
Building off of the research team’s previous work on a smartwatch alarm application and worker attention monitoring system, this project...
Read MoreAutomated Lane Change and Robust Safety
Inappropriate lane changes are responsible for one-tenth of all accidents, due to human drivers’ inaccurate estimation and prediction of the...
Read MoreCOVID-19’s Effect on Transportation: Developing a Public COVID-19 Data Dashboard
The COVID-19 outbreak has dramatically changed travel behavior in cities across the world. With changed travel demand, economic activity, and...
Read MoreFinite Element Analyses and Crash Testing of NYSDOT Bridge Railing and Barrier (MASH 2016)
The AASHTO-FHWA Joint Agreement for the Implementation of MASH 2016 requires that any roadside safety hardware (guide rail, bridge rail,...
Read MoreDesign Finite Element Analyses and Crash Testing
The AASHTO-FHWA Joint Agreement for the Implementation of MASH 2016 requires that any roadside safety hardware (guide rail, bridge rail,...
Read MoreCalibration/Development of Safety Performance Functions for New Jersey
Safety Performance Functions (SPFs) in the Highway Safety Manual (HSM) were developed using historic crash data collected in different states....
Read MoreAlgorithms to Convert Basic Safety Messages into Traffic Measures
An NSF project named “study of driving volatility in connected and cooperative vehicle systems” aims at extracting driving volatility, characterized...
Read MoreUnderstanding and Enabling Cooperative Driving in New York City: A Data-driven Approach
The NYCDOT Team (NYCDOT and C2SMART) will assist the USDOT in understanding and enabling Cooperative Driving for Advanced Connected Vehicles...
Read MoreNJDOT Bridge Resource Program
The primary mission of the Bridge Resource Program (BRP) is to provide ongoing engineering evaluation and research support to the...
Read MoreConstruction Management Software Tool to Enhance Coordination of Construction Projects City-Wide During Planning and Operation Phases
The main objective of this study is the assessment of the Construction Impact Analysis (CIA) and Work Zone Impact and...
Read MoreITS Deployment Evaluation Program Technical and Program Support
C2SMART researchers are working in partnership with Noblis to provide technical and management support for the ITS Deployment Evaluation program...
Read MoreUtilizing CAT Data for Freeway Operational Strategies
The overall scope of the project is to assess use cases where freeway operations strategies could be improved through the...
Read MoreC2SMART-NYCDOT Connected Vehicle Research Breaks New Ground To Improve Mobility and Ensure Accessibility For Pedestrians with Vision Disabilities in NYC
As part of USDOT's Connected Vehicle Project, C2SMART researchers at New York University – in collaboration with NYCDOT and industry...
Read MoreDevelopment of Advanced Weigh-In-Motion (A-WIM) System for Effective Enforcement of Overweight Trucks to Reduce their Socioeconomic Impact on Major Highways
The research team will first establish a test bed for the development of the advanced WIM (A-WIM) system by collaborating...
Read MoreDevelopment of a Multi-Agency Construction Management Tool
The main objective of this study is the assessment of the Construction Impact Analysis (CIA) and Work Zone Impact and...
Read MoreDevelopment of an Open Source Multi-Agent Virtual Simulation Test Bed for Evaluating Emerging Transportation Technologies and Policies
In previous years, the research team has developed and calibrated a base model implemented in MATSim and SUMO. This virtual...
Read MoreIncreasing Work Zone Safety: Worker behavioral analysis with integration of wearable sensors and virtual reality
Through wearable sensors and realistic representations of work zones in virtual reality, we plan to collect worker behavioral and physiological...
Read MoreImpact of Ride-Sharing in New York City
This project aims to develop a comprehensive holistic model of urban transportation demand given multiple available modes, including for-hire vehicles...
Read MoreNew York City Connected Vehicle Pilot
Researchers at NYU are working with NYCDOT and other partners on this portion of the NYC CV Pilot, as well...
Read MoreDevelopment of Mountable Sensors to Improve Bicyclist Safety
These new sensors are focused on obtaining data about the bicyclist’s behavior, which will complement the current data and contribute...
Read MoreEvaluation of New Features at MTA New York City Transit’s Accessible Station Lab
C2SMART researchers are working under the direction of NYCT staff in administering surveys/conducting interviews and collecting data from users of...
Read MoreImplementation and Effectiveness of Autonomous Enforcement of Overweight Trucks in an Urban Infrastructure Environment
Overview Transportation agencies have been enforcing illegal overweight trucks at the weighing stations and by the Police enforcement units. It...
Read MoreLearning to Drive Autonomously
Autonomous vehicles (AV) and connected vehicles (CV) technology has been much of the focus of transportation industry lately, and they...
Read MoreDevelopment and Tech Transfer of an Integrated Robust Traffic State and Parameter Estimation and Adaptive Ramp Metering Control System
Dr. Zhou and Dr. Ozbay found that, if the traffic flow parameters are time-varying and/or the knowledge of these parameters...
Read MoreCapital Program Resource Model (CPRM)
The objective of this study is to develop a model that links the resource requirements for Capital Program delivery functions...
Read MoreStatewide Open Source Advanced Traffic Management System (ATMS) Software Research and Pilot
This project’s goal is to research, evaluate and test the ability and effectiveness of using open source ATMS software to...
Read MoreWork Zone Safety III: Calibration of Safety Notifications through Reinforcement Learning and Eye Tracking
According to the Federal Highway Administration (FHWA), work zone fatalities at road construction projects account for up to 3% of...
Read MoreLane Changing of Autonomous Vehicles in Mixed Traffic Environments: A Reinforcement Learning Approach
In order to guarantee the safety of autonomous vehicles (AV), improve passenger comfort, and increase traffic efficiency, we aim to...
Read MoreDevelopment and Evaluation of Collaborative Ramp Metering Control for Congested Urban Freeways
Collaborative driving results are available for vehicle-level controls and mostly focused on architecture and human-in-the-loop approaches. We aim at a...
Read MoreIntegration and Operation of an Advanced Weigh-in-Motion (A-WIM) System for Autonomous Enforcement of Overweight Trucks
Trucks have been an integral part of the freight movement network in distributing goods and services to various communities; however,...
Read MoreQuantifying and Visualizing City Truck Route Network Efficiency Using a Virtual Testbed
Cities like NYC and Seattle need to deal with significant growth of urban deliveries as a result of increasing e-commerce...
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