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DTSTART;TZID=America/New_York:20211109T120000
DTEND;TZID=America/New_York:20211109T130000
DTSTAMP:20260506T062301
CREATED:20211105T150532Z
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UID:69665-1636459200-1636462800@c2smart.engineering.nyu.edu
SUMMARY:Using AI to Improve CAV Operations in Mixed Traffic
DESCRIPTION:Rapid advances in artificial intelligence and machine learning (AI/ML) offer unprecedented opportunities for improving the operations of connected and autonomous vehicles (CAVs) in a traffic stream that also includes human driven vehicles. Dr. Sikai (Sky) Chen will discuss recent developments in vehicle automation with mixed traffic stream\, including the challenges and opportunities associated with AI/ML algorithm development and application for CAV operations. These include leveraging real-time data using AI/ML to improve safety\, mobility\, and efficiency\, and rapidness of response to changing traffic environments. Dr. Chen will also discuss AI/ML cooperative control algorithms for multi-agent systems that consider dynamic interactions between heterogeneous system users (e.g.\, human drivers\, connected and/or automated vehicles). Results from extensive simulation experiments will be presented to demonstrate the effectiveness of such cooperative control innovations. Insights from this research can provide guidance to CAV manufacturers and transport agencies regarding infrastructure investments specifically for CAV operations.
URL:https://c2smart.engineering.nyu.edu/event/using-ai-to-improve-cav-operations-in-mixed-traffic/
CATEGORIES:Connected & Autonomous Mobility,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211112T110000
DTEND;TZID=America/New_York:20211112T130000
DTSTAMP:20260506T062301
CREATED:20211026T172814Z
LAST-MODIFIED:20211115T143855Z
UID:69416-1636714800-1636722000@c2smart.engineering.nyu.edu
SUMMARY:Equity in Transportation Research
DESCRIPTION:As C2SMART heads into its sixth year of projects\, we seek to develop and fund projects which will be bigger and bolder than ever before. We are looking for projects which showcase possibility\, address complex challenges\, broaden collaboration\, and directly strengthen the transportation field. Research and development projects will be external industry/agency driven\, including an additional emphasis and reserve of funding for non-traditional research in the form of workshops and workforce development. There will also be dedicated funding for student-focused initiatives including cooperative education programs\, student-led research projects\, student entrepreneurship\, and summer programs for graduate\, undergraduate\, and K-12 students. \nAcross and underlying each of these themes\, however\, will be an emphasis on transportation equity. Each proposal will\, in some form\, need to be prepared to discuss how the project will directly address equity concerns\, or else include an equity performance measure of some kind. \nTo help researchers conceptualize what this means\, and to set guidance around how UTCs can lead the way in solving transportation equity problems\, C2SMART will be hosting an Equity in UTC Research panel to: \n\nBetter educate our network of PIs and researchers towards ensuring that each project has a meaningful equity component and how to  factor equity concerns into its overall methodology\,\nDirectly engage with and answer outstanding transportation equity problems that are not being addressed by the wider research community\, and\nEngage with both traditional and non-traditional equity partners on our projects.\n\nPOST-EVENT RESOURCES  \n\nEquity in Transportation Research\nSpeaker presentation: Luis Artieda Presentation\nSpeaker presentation: Alice Grossman Presentation\nSpeaker presentation: David Bragdon Presentation\nSpeaker presentation: Amy Fong Presentation\n\n \nSPEAKERS \nAmy Fong is a mathematical statistician at the Department of Labor Office of Disability Employment Policy. Amy does research on the employment outcomes and labor force participation of people with disabilities. She is interested in how access to services\, utilities and the built environment (such as public transportation and broadband internet) affect the well-being and socioeconomic status of people with disabilities. She is set to discuss how the US Census Bureau measures disability and why disability is a function of the built environment; illustrate how disability prevalence (rates of disability) by age\, race and gender varies across New York City; and explain where researchers can access the data themselves. \nAlice Grossman is a Research Scientist with the Center for Advancing Research in Transportation Emissions\, Energy\, and Health at Texas Transportation Institute. Her research and project management experience covers various areas of multimodal transportation with a focus accessibility\, technology in transportation\, vulnerable road user safety\, and performance measurement. She was previously a Senior Policy Analyst at the Eno Center for Transportation and is currently a Science\, Technology\, and Policy Fellow with the Inter-American Institute for Global Change and was a 2020-2021 Science Technology and Policy Fellow with the American Association for the Advancement of Science (AAAS STPF) at the National Oceanic and Atmospheric Administration (NOAA). \nLuis Artieda is an Inclusion and Sustainability expert with 10 years of experience in development at an international and local level. He focuses on the intersection of community economic development\, inclusion\, and sustainability. He was responsible for the strategic launch of the global campaign Cities For All\, as well as organizing diverse stakeholder events and high-level roundtables to global international forums (UNHabitat World Urban Forum\, Forum of Latin American Ministries of Housing\, UN High-Level Political Forum\, etc). He has facilitated high-level capacity-building workshops about inclusion and sustainability to city officials such as Amsterdam\, Barcelona\, and Abu Dhabi\, as well as the Inter-American Development\, World Bank\, and the European Bank for Reconstruction and Development. \nDavid Bragdon has been at the helm of TransitCenter since 2013\, leading a NYC-based civic foundation dedicated to improving public transportation to make cities more just\, sustainable\, and prosperous. TransitCenter conducts applied research and supports community-based advocacy. David spent the early part of his career in the maritime and aviation freight industries. During 2002-10\, he was elected to two terms as President of the Metro Council\, the regional government for the Portland\, Oregon area. He served as Director of New York City Mayor Michael Bloomberg’s Office of Long-term Planning and Sustainability 2010-12. Transportation is a passion and a vocation for David. He drove a taxi cab for a year\, has jump-seated a 747 freighter into a remote airport in the far eastern steppes of the then-USSR\, rode a Dutch container ship up the Strait of Malacca\, and twice (once for five minutes in Minnesota and once for ten minutes in Iowa) has been allowed to run the engineer’s throttle on freight trains. He likes to move big things. \n 
URL:https://c2smart.engineering.nyu.edu/event/equity-in-transportation-research/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Equity & Accessibility,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211116T150000
DTEND;TZID=America/New_York:20211116T153000
DTSTAMP:20260506T062301
CREATED:20211105T120943Z
LAST-MODIFIED:20211105T120943Z
UID:69656-1637074800-1637076600@c2smart.engineering.nyu.edu
SUMMARY:Roadmap to Cooperative & Automated Transportation
DESCRIPTION:The world has placed high hopes in automated vehicle (AV) technologies in revolutionizing transportation system performance\, including multiplying roadway capacity and minimizing energy consumption. However\, research conducted by Dr. Xiaopeng (Shaw) Li and colleagues has found that existing production AVs exhibit comparable or even inferior performance compared to human-driven vehicles (HDV). To bridge this gap and realize the full potential of AVs\, Dr. Li will propose a roadmap of cooperative & automated transportation\, from optimal trajectory control in ideal conditions through a cooperative control framework incorporating edge computing and machine learning under real-world constraints. This analysis of ideal conditions (e.g.\, pure AV with perfect information and control) reveals critical theoretical properties specifying feasible time-space ranges of AV movements. Combined with customized mathematical programming and control methods\, these properties lead to efficient solutions (e.g.\, in milliseconds) to real-time optimal trajectory planning problems. The solutions discussed by Dr. Li will serve as the building blocks for solving more realistic AV control problems (e.g.\, traffic mixed with human drivers\, considering different cooperation classes\, with stochasticity and errors).
URL:https://c2smart.engineering.nyu.edu/event/roadmap-to-cooperative-automated-transportation/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Connected & Autonomous Mobility,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211116T150000
DTEND;TZID=America/New_York:20211116T160000
DTSTAMP:20260506T062301
CREATED:20211105T160147Z
LAST-MODIFIED:20211117T190826Z
UID:69667-1637074800-1637078400@c2smart.engineering.nyu.edu
SUMMARY:Natural language processing methods for textual similarity using Python
DESCRIPTION:In this session\, you will learn the basics of text representation in natural language processing (NLP) and various state-of-the-art NLP techniques for (semantic) textual similarity tasks. We will walk through data preparation and processing steps with language modeling tools in Python (e.g.\, Doc2Vec\, Sentence-BERT) for computing text/document similarity and discuss several practical applications of such NLP techniques in transportation related downstream tasks. \nClick Here to View Video Recording
URL:https://c2smart.engineering.nyu.edu/event/natural-language-processing-methods-for-textual-similarity-using-python/
CATEGORIES:Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211117T120000
DTEND;TZID=America/New_York:20211117T130000
DTSTAMP:20260506T062301
CREATED:20211102T205148Z
LAST-MODIFIED:20211102T205148Z
UID:69645-1637150400-1637154000@c2smart.engineering.nyu.edu
SUMMARY:Building a Decision Support Tool for Optimal & Equitable Distribution of EV Charging Stations in NYC
DESCRIPTION:Electric vehicles (EV) are key to the world’s decarbonization effort\, but access to charging infrastructure may become a prominent adoption barrier\, the burden of which will disproportionately affect low- and middle-income communities\, communities of color\, areas near multi-family housing\, and residential and rural areas. Researchers led by Professor Yury Dvorkin\, NYU Tandon\, and Professor Burçin Ünel\, Energy Policy Director at the Institute for Policy Integrity at NYU School of Law\, set out to address the accessibility of EV charging to build a decision-support tool to inform where and how to provide optimal\, equitable investments in EV charging infrastructure. In the first phase of their research\, they found that availability and affordability of EV charging stations in NYC are more strongly associated with median household income and the percentage of white population in each zip code\, rather than population density. \nThe team is hosting this update on their research so far\, seeking input from primary stakeholders to understand the technological gaps that prevents widespread expansion of EV charging infrastructure and to encourage their continued participation in this research to drive practically feasible and ethical research outcomes.
URL:https://c2smart.engineering.nyu.edu/event/building-a-decision-support-tool-for-optimal-equitable-distribution-of-ev-charging-stations-in-nyc/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Big Data & Planning for Smart Cities,Equity & Accessibility,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211118T120000
DTEND;TZID=America/New_York:20211118T130000
DTSTAMP:20260506T062301
CREATED:20211026T171524Z
LAST-MODIFIED:20211118T192957Z
UID:69599-1637236800-1637240400@c2smart.engineering.nyu.edu
SUMMARY:Cycle Speak with Laura Fox: Citi Bike & Urban Mobility
DESCRIPTION:  \n  \nWhat’s the Chatter? is a new series from C2SMART which brings transportation students into conversation with some of today’s leading mobility companies to discuss innovation\, disruption\, and possibility in today’s smart cities. In this installment\, we will be joined by Laura Fox\, General Manager at Lyft’s CitiBike program\, to discuss the role of shared mobility systems\, from bikes to taxis\, in driving the evolution of smart cities and urban mobility. Laura will share updates and highlights from Lyft’s micromobility programming\, and discuss bike safety with C2SMART student Suzana Duran Bernardes\, followed by an audience Q&A. \nEVENT RECORDING \n \nSPEAKER \nLaura Fox is Lyft’s General Manager for Citi Bike\, where she oversees strategy\, growth\, operations\, marketing\, new product launches\, and the local P&L – as well as community engagement and city partnerships. In recognition of her leadership in NYC\, she was named to City&State’s Transportation Power 100 and NYC’s Mayoral COVID recovery taskforce. Laura is also a professor of MBA strategy at NYU Stern School of Business. Prior to joining Lyft\, Laura worked for Sidewalk Labs\, an Alphabet company dedicated to building the city of the future through urban tech; worked at the Boston Consulting Group and led projects for urban mobility\, technology\, and cultural organizations; edited a book on bottom-up urban development and innovation (“Order Without Design” by Alain Bertaud); built a conversation game focused on deepening human connections; delivered a TED talk on the role of curiosity and ignorance in the creative process; created digital strategies and products in the Americas\, Middle East\, and Asia for social enterprises; and more. \nOutside of work\, Laura lives in Brooklyn – and is a startup mentor/advisor\, on the board of Governors Island and BCG’s alumni group\, and on the leadership committee of LISC and the Museum of Food and Drink (MOFAD). \nLaura holds a B.A. from the University of Notre Dame and an M.B.A. from New York University (NYU)\, Stern School of Business. Originally from Chicago\, Laura is most comfortable when she is uncomfortable\, and learning something new. \nSTUDENT MODERATOR \nSuzana Duran Bernardes is a Ph.D. student in Transportation Planning and Engineering in the Department of Civil and Urban Engineering at New York University Tandon School of Engineering. She completed her Master’s in Transportation Planning and Engineering in 2020 at New York University Tandon School of Engineering. Her Master project involved the development of a novel multi-sensor platform to collect naturalistic cycling data. Suzana focuses on leveraging non-motorized vehicles’ safety studies through new ways of collecting and analyzing data. Her research interests include traffic safety\, Intelligent Transportation Systems (ITS)\, and urban mobility.
URL:https://c2smart.engineering.nyu.edu/event/bus-stop-chatter-citi-bike-urban-mobility/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Shared & Micromobility,Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211123T120000
DTEND;TZID=America/New_York:20211123T130000
DTSTAMP:20260506T062302
CREATED:20211105T122636Z
LAST-MODIFIED:20211122T163031Z
UID:69661-1637668800-1637672400@c2smart.engineering.nyu.edu
SUMMARY:State-of-the-Field: Application of Structural Health Monitoring (SHM) and Weigh-In-Motion (WIM) Sensors For Infrastructure Assessment and Resiliency
DESCRIPTION:Structural Health Monitoring (SHM) is being applied to many types of infrastructure to determine its durability\, performance and response to various loading conditions. Weigh-In-Motion (WIM) provides an efficient way to estimate the static weight of a vehicle by measuring the dynamic tire force of a moving vehicle. Recently\, emphasis has been placed on coupling these two complementary technologies in infrastructure evaluation and resiliency: SHM provides structural response or resistance while WIM provides actual loading conditions and future load prediction that enables determination of infrastructure capacity\, resulting in the operating service loads needed for developing statistical live load models for use at the strength and service limit states. \nDr. Nassif will provide an overview of how SHM\, WIM\, and related sensor technologies have evolved over the last three decades\, emphasizing the current SHM programs of civil infrastructure in the NY/NJ Metropolitan Area. He’ll discuss various projects highlighting structural modeling and analysis\, sensor networking and instrumentation\, data processing\, model validation\, and probabilistic predictions. Dr. Nassif will also provide an overview of how various sensor data might be processed to assess actual behavior of the structure at various stages\, and how unique solutions adopted in response to various agencies’ design and construction issues have led to major improvements in model predictions\, calibration of reliability-based design codes\, and successful implementation and modifications of technical specifications. \nSPEAKER \nDr. Nassif is a Professor in the Department of Civil and Environmental Engineering and Director of the Rutgers Infrastructure Monitoring and Evaluation (RIME) Group at Rutgers University\, where he has established the Bridge Engineering program. He is also serving the Associate Director for Outreach and Technology Transfer at the federally-supported C2SMART Tier 1 University Transportation Center (UTC) at which Dr. Nassif is leading the significant efforts to conduct the research area of the resilient\, secure\, and smart transportation infrastructure.
URL:https://c2smart.engineering.nyu.edu/event/state-of-the-field-weigh-in-motion-wim-technology/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Infrastructure Resiliency,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
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