A Tier 1 University Transportation Center taking on today’s mobility challenges

Read C2SMART'S 2020-2021 Annual Report
Join our mailing list
Twitter Youtube Linkedin Database

Research Areas

An image of a car underneath a wifi symbol, indicating mobility options with smart technology.
The image of a person, a vehicle, and a shield, meant to evoke safety.
The image of a smart phone with people on it, meant to be evocative of shared transportation modes.
A computer with graphs and charts, meant to represent big data.
The image of a bridge, in good condition.
Three people standing in a halo, meant to indicate equity.

Watch Our Latest Webinars

REGISTER TO HACK HERE: https://c2smart.engineering.nyu.edu/smart-trucking-hackathon/ Updated Dates: Oct 15-23, 2022 C2SMART is hosting a Virtual Hackathon in partnership with NYC DOT from October 15 -23, 2022 with a kickoff event hosted on October 15 at TransportationCamp NYC. We invite you to use your creativity and intelligence to design 3D visualizers to help truck drivers navigate the complexities of the city and identify the best route for reaching their destination. In New York City, all vehicles defined as a truck are required to follow the truck route network and are reliant on a static map to know which roads they must use in NYC. When events like construction or a crash require rerouting, truck drivers’ options are often limited as most free navigation tools do not include truck route priorities, height restrictions, turn restrictions, tolls, or other details specific to their needs. Register today to develop your own visualizer to be added to NYCDOT's current dataset, which may potentially be leveraged by truck drivers all throughout the city!
C2SMART Virtual Hackathon Promo Video
YouTube Video UC-JzRVBnWGJ3_Jv5iYmpo6A_1M6YITVVg1M
With over 25 years in deploying in deploying new technologies and innovative solutions with Fortune 500, government and academic research clients, Mark Davis currently leads Mobileye’s North American Data Services business. Mark has led the introduction of several platform technologies in areas ranging from climate change research to commercial risk management to industrial process control solutions. With a long background in remote sensing and geospatial analytics — Mark draws from his experience to address some of the transportation sector’s biggest safety & operational challenges. Mobileye is partnering with key DOTs, MTAs and transportation-sector service providers & researchers to help deliver a positive impact for society in terms of roadway planning, safety, mobility & equity. Mark has held senior executive positions at top VC backed start-ups (Aeryon, Airware and Picarro) to multi-billion giants (Intel Corporation and Danaher). Mark holds a Master of Science, Management of Technology degree from Georgia Institute of Technology. STUDENT MODERATOR Zilin Bian is a Ph.D candidate in Transportation Planning and Engineering in the Department of Civil and Urban Engineering at New York University. He received a master’s degree from the University of Florida. He is currently working as a graduate research assistant at NYU while pursuing his doctoral degree. Bian’s research interests include applications of machine learning and artificial intelligence in traffic incident management, transportation data and mobility modeling / prediction.
Data & Driving: Mobileye on Urban Mobility
YouTube Video UC-JzRVBnWGJ3_Jv5iYmpo6A_UH58ioExNFM
Register Here: https://c2smart.engineering.nyu.edu/smart-trucking-hackathon/ In New York City, all vehicles defined as a truck are required to follow the truck route network and are reliant on a static map to know which roads they must use in NYC. When events like construction or a crash require rerouting, truck drivers’ options are often limited as most free navigation tools do not include truck route priorities, height restrictions, turn restrictions, tolls, or other details specific to their needs. C2SMART is hosting a Virtual Hackathon in partnership with NYC DOT from Friday, September 30, 2022 through Sunday, October 02, 2022. We invite you to use your creativity and intelligence to design 3D visualizers to help truck drivers navigate the complexities of the city and identify the best route for reaching their destination.
C2SMART Smart Trucking Virtual Hackathon Sept 30 - Oct 2, 2022
YouTube Video UC-JzRVBnWGJ3_Jv5iYmpo6A_cMwjlUP7fF8
In this talk, Dr. Wen-Long Jin will present some of his recent results on new approaches and paradigms in traffic flow modeling and control. He will first discuss traffic flow models in three types of spaces: (1) provably safe driving models for both human-driven and autonomous vehicles in the absolute space on a road, (2) bathtub models for network trip flows in a relative space with respect to individual travelers’ remaining trip distances, and (3) day-to-day traffic flow models for departure time choice in an economic space with respect to the scheduling cost. Then he will present two studies on traffic system operations and control: (1) dynamic pricing schemes for high-occupancy-toll lanes with a single or multiple bottlenecks; and (2) fleet-size management for shared mobility systems with for-hire vehicles. Dr.Wen-Long Jin (BS in Automatic Control, University of Science and Technology of China, 1998; PhD in Applied Mathematics, UC Davis, 2003) is a Professor of Civil and Environmental Engineering at UC Irvine. He’s interested in fundamental principles, concepts, models, and methods for analyzing, operating, and planning of transportation and mobility systems. Dr. Wen-Long Jin has systematically studied network traffic flow theory, capacity drop and lane-changing models, connected vehicle systems theory, and green driving strategies. He is an editorial board editor of Transportation Research Part Band Transportation Science and an Associate Editor of Transportmetrica B. He has published one textbook entitled “Introduction to Network Traffic Flow Theory” and numerous journal and conference articles.
New Approaches and Paradigms in Traffic Flow Modeling and Control
YouTube Video UC-JzRVBnWGJ3_Jv5iYmpo6A_Uea1ljn2INg
Are you interested in studying how the urban environment can be used to impact the daily lives of millions? Do you want to understand how policymakers bring academic research to fruition? Or, perhaps, you have some nagging questions about your undergraduate studies and navigating university to be successful? Come join us to learn and network about transportation research and academia. This event will be jointly hosted by NYU’s C2SMART lab, IEEE Student Branch and North South University, Women in Engineering Affinity Group at IEEE NSU, and the NYU ITE/ITS student chapter. The event will consist of a seminar by C2SMART’s Dr. Jingqin Gao about emerging transportation engineering topics and the urban environment as a sandbox for transportation research, from both the agency and academic perspectives. Dr. Jingqin (Jannie) Gao, completed her Ph.D. in Transportation Planning and Engineering at NYU Tandon, and is currently working as a lead researcher at C2SMART University Transportation Center funded by US Department of Transportation. She studied Science and Technology of Optical Information and received her B.S. from Tongji University and her M.S in Transportation Planning and Engineering from New York University. Her research interests lie in big data and artificial intelligence solutions for transportation, emerging technologies such as connected vehicles, traffic simulation modeling, parking management and transportation economics. Before joining NYU, she worked for the New York City Department of Transportation on modeling and data analysis to support the agency’s internal planning and technical review processes. Jingqin plays a leadership role both within her research group and for the larger NYU Tandon community, serving as the past president of the student chapters of the Institute of Transportation Engineers and the Intelligent Transportation Society.
Emerging Transportation Engineering Topics Using City as a Lab: A Roundtrip Story
YouTube Video UC-JzRVBnWGJ3_Jv5iYmpo6A_pyOYFMqQBG0
Traffic accidents are among the leading causes of death for people aged 5–35 worldwide, causing transport externalities and thus unsustainability. At the same time, the introduction of almost fully connected and automated vehicles (CAVs) (levels 3–4 of SAE) is already a reality. Although CAVs go in the direction of smart mobility, their sustainability is still questionable because their deployment in open traffic introduces unexplored risks. Indeed, while technological progress is rapidly being pursued, there remain significant issues related to the development and integration of CAVs with physical and digital infrastructure and to their user acceptance on shared roads. The main reason is a general perception that they are not safe and thus may introduce inequality. In this context, neither the actual accident-based nor proactive methods for road safety analysis can be applied when CAVs interact with conventional users. This is primarily due to the lack of knowledge about the influence of the digital and physical infrastructure in the interactions among vehicles in mixed traffic conditions. In this framework, the use of simulation and virtual reality, combined with validation on real world scale, represents the only approach to provide the basis for new computational methods for infrastructure safety assessment in future mobility scenarios based on a rigorous scientific approach. The use of simulation at different levels combined with new Surrogate Measures of Safety (SMoS) can address the problem of the safety evaluation of the interaction between conventional vehicles and CAVs. The seminar will present how virtual reality and simulation are being used as a tool to replace naturalistic observations in the real-world and their pros and cons, in three different research projects on CAVs safety among which is a European Research Council Grant. Dr. Carmelo D’Agostino, a Senior Lecturer of Transport Engineering at Lund University (Sweden), has consolidated and international recognized experience in modeling the relationship between safety and road characteristics, and in the development and application of these models for assessing the safety of roads and the safety effects of design and management decisions.Carmelo’s research interest is going towards how to evaluate safety in new mobility scenarios. On this topic, Carmelo has been recently awarded with a European Research Council Grant with a project proposal related to the development of new scientific method to evaluate the effects of infrastructure on the interaction of connected and automated vehicles and conventional road users.
Virtual Reality and simulation as a tool to investigate the safety of future mobility scenarios
YouTube Video UC-JzRVBnWGJ3_Jv5iYmpo6A_o3VrtEmfUDw
Subscribe

Research Spotlight

Network of Living Labs
UPDATED: Mobility Data Dashboard
Urban Roadway Testbed

Upcoming Events