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DTSTART;VALUE=DATE:20230824
DTEND;VALUE=DATE:20230825
DTSTAMP:20260406T085223
CREATED:20230824T172801Z
LAST-MODIFIED:20230824T173031Z
UID:80354-1692835200-1692921599@c2smart.engineering.nyu.edu
SUMMARY:PhD New Student Orientation
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/phd-new-student-orientation/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230816T120000
DTEND;TZID=America/New_York:20230816T130000
DTSTAMP:20260406T085223
CREATED:20230810T200539Z
LAST-MODIFIED:20230810T200539Z
UID:79987-1692187200-1692190800@c2smart.engineering.nyu.edu
SUMMARY:C2SMARTER RFP Requirements Webinar
DESCRIPTION:The purpose of the webinar is to inform prospective PIs and research teams on the new requirements of C2SMARTER Center projects\, answer any questions\, and provide a forum for potential team-building collaboration. The topics we will cover include: \n\nFeedback on received project abstracts and potential teaming opportunities\nProposal submission requirements\nNew USDOT reporting requirements\nProject management and tracking systems\nTimelines and schedules\nQ&A
URL:https://c2smart.engineering.nyu.edu/event/c2smarter-rfp-requirements-webinar/
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230815T120000
DTEND;TZID=America/New_York:20230815T133000
DTSTAMP:20260406T085223
CREATED:20230810T201206Z
LAST-MODIFIED:20230810T201206Z
UID:79995-1692100800-1692106200@c2smart.engineering.nyu.edu
SUMMARY:The Reconstruction of Penn Station
DESCRIPTION:Please join the NYU Rudin Center for Transportation for an illuminating presentation on the reconstruction of Penn Station\, led by Jamie Torres-Springer\, President\, MTA Construction & Development. Delve into the planned transformation of this essential hub. The presentation will be followed by a conversation between Jamie Torres-Springer and Sarah Kaufman.
URL:https://c2smart.engineering.nyu.edu/event/the-reconstruction-of-penn-station/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230814T120000
DTEND;TZID=America/New_York:20230814T130000
DTSTAMP:20260406T085223
CREATED:20230810T200203Z
LAST-MODIFIED:20230810T200252Z
UID:79982-1692014400-1692018000@c2smart.engineering.nyu.edu
SUMMARY:Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: Phase 2
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/digital-twin-technologies-towards-understanding-the-interactions-between-transportation-and-other-civil-infrastructure-systems-phase-2/
CATEGORIES:Big Data & Planning for Smart Cities,Webinars
LOCATION:https://nyu.zoom.us/webinar/register/WN_jQg9UllxRB26w9QmMn9OqQ
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230803T140000
DTEND;TZID=America/New_York:20230803T150000
DTSTAMP:20260406T085223
CREATED:20230627T160953Z
LAST-MODIFIED:20230627T160953Z
UID:79455-1691071200-1691074800@c2smart.engineering.nyu.edu
SUMMARY:Summer Webinar Series: A Variational Autoencoder Approach for Route Choice Set Generation
DESCRIPTION:In the context of route choice modeling\, choice set generation is a challenging task\, since the consideration set is generally unknown to the modelers\, and the full choice set cannot be enumerated in real size networks. The proposed variational autoencoder approach (VAE) is motivated by the idea that the chosen alternatives must belong to the consideration set. The VAE approach explicitly considers maximizing the likelihood of including the chosen alternatives in the choice set\, and infers the underlying generation process. The VAE approach for route choice set generation is exemplified using a real dataset. VAE-CNL model has the best performance in terms of goodness-of-fit and prediction performance\, compared to models estimated with conventionally generated choice sets. \nShlomo Bekhor is a professor in the Faculty of Civil and Environmental Engineering at the Technion – Israel Institute of Technology\, and serving as Faculty Dean since 2019. He has a BSc in Aeronautical Engineering from ITA\, Sao Jose dos Campos\, Brazil. MSc and PhD degrees in Transportation Engineering were obtained at the Technion. He teaches and conducts research in transportation planning and network equilibrium models and has special interest in route choice modeling. \nPresented by the Transportation Research Board Subcommittee AEP30(2)/AEP40 on Route Choice and Spatio-Temporal Behavior
URL:https://c2smart.engineering.nyu.edu/event/summer-webinar-series-a-variational-autoencoder-approach-for-route-choice-set-generation/
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230725T120000
DTEND;TZID=America/New_York:20230725T130000
DTSTAMP:20260406T085223
CREATED:20230707T185854Z
LAST-MODIFIED:20230817T213550Z
UID:79467-1690286400-1690290000@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Exploring Cost-effective Computer Vision Solutions for Smart Transportation Systems: Urban Work Zone Detection and Safety Analysis Using Near Miss Data
DESCRIPTION:Jingqin Gao: Assistant Director of Research\, C2SMART\, NYU; Chuan Xu: PHD Candidate\, NYU\nTuesday\, July 25\, 2023 | 12:00pm ET | Virtual\nWhile computer vision technology is widely acknowledged\, it remains underutilized for routine operations and traffic safety in complex urban environments. Our research develops a deep learning-based\, automatic data acquisition and analytics approach utilizing vision-based sensors. This approach harnesses data from existing transportation infrastructure and connected and automated vehicles (CAVs)\, illustrating how computer vision can create fresh streams of mobility and safety information for strategic planning and operations. It presents two applications: WorkZoneX\, leveraging 900+ traffic cameras in NYC for real-time urban work zone identification and size estimation\, and SAFExMAP\, a risk indicator scoring system using near-miss data from in-vehicle cameras. Findings suggest significant potential for computer vision in smart cities\, offering cost-effective solutions to improve planning\, operations and traffic safety analysis.
URL:https://c2smart.engineering.nyu.edu/event/webinar-exploring-cost-effective-computer-vision-solutions-for-smart-transportation-systems-urban-work-zone-detection-and-safety-analysis-using-near-miss-data/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230717T180000
DTEND;TZID=America/New_York:20230717T193000
DTSTAMP:20260406T085223
CREATED:20230620T170709Z
LAST-MODIFIED:20230620T170709Z
UID:79435-1689616800-1689622200@c2smart.engineering.nyu.edu
SUMMARY:Transit Techies July Meetup
DESCRIPTION:Technologists who love transit.\nTransit enthusiasts who hack!\nAt Transit Techies NYC\, speakers present transit-related projects. Presenters may be household hackers\, data scientists\, researchers\, product developers\, or you! All presentations will be technical and awesome.
URL:https://c2smart.engineering.nyu.edu/event/transit-techies-july-meetup/
CATEGORIES:Connected & Autonomous Mobility
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230629T120000
DTEND;TZID=America/New_York:20230629T130000
DTSTAMP:20260406T085223
CREATED:20230620T165219Z
LAST-MODIFIED:20230622T153755Z
UID:79431-1688040000-1688043600@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Autonomous Vehicle Good Citizenry Standard
DESCRIPTION:Presented by:\nSarah Kaufman\, Interim Director\, NYU Rudin Center for Transportation\nJoseph Chow\, Associate Professor\, NYU\nThursday\, June 29\, 2023: 12:00pm – 1:00pm ET | Virtual \nNew York City is moving toward a more efficient\, safer\, and sustainable future that includes autonomous vehicles for transit\, e-commerce\, and medical transport. However\, autonomy often runs on incomplete or flawed foundations: training data sets might not prepare vehicles to “see” people of color; transit shuttles may operate without safety considerations for women\, frequent targets of sexual harassment on transit; delivery pods might be sharing personal data with several third parties. Although the City will regulate vehicle safety and efficacy on the street\, autonomous mobility must be evaluated under more ambitious and holistic standards. The Responsible Autonomous Mobility (RAM) Framework aims to identify partnership in several areas.
URL:https://c2smart.engineering.nyu.edu/event/webinar-autonomous-vehicle-good-citizenry-standard/
CATEGORIES:Connected & Autonomous Mobility
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230615T150000
DTEND;TZID=America/New_York:20230615T160000
DTSTAMP:20260406T085223
CREATED:20230531T163314Z
LAST-MODIFIED:20230531T163536Z
UID:79276-1686841200-1686844800@c2smart.engineering.nyu.edu
SUMMARY:Summer Webinar Series
DESCRIPTION:Presented by the Transportation Research Board (TRB) subcommittee AEP30(2) Route Choice and Spatio-Temporal Behavior \nSpeaker: Professor Marcela A. Munizaga\, Universidad de Chile.
URL:https://c2smart.engineering.nyu.edu/event/summer-webinar-series/
CATEGORIES:Big Data & Planning for Smart Cities
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230613T120000
DTEND;TZID=America/New_York:20230613T130000
DTSTAMP:20260406T085223
CREATED:20230602T162031Z
LAST-MODIFIED:20230602T162031Z
UID:79286-1686657600-1686661200@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Quantifying and Visualizing City Truck Route Network Efficiency Using a Virtual Testbed
DESCRIPTION:Presented by: Joseph Chow\, Associate Professor\, NYU\nHaggai Davis\, PHD Candidate\, NYU\nTuesday\, June 13\, 2023: 12:00pm – 1:00pm ET | Virtual
URL:https://c2smart.engineering.nyu.edu/event/webinar-quantifying-and-visualizing-city-truck-route-network-efficiency-using-a-virtual-testbed/
CATEGORIES:Big Data & Planning for Smart Cities
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230524T120000
DTEND;TZID=America/New_York:20230524T130000
DTSTAMP:20260406T085223
CREATED:20230425T133642Z
LAST-MODIFIED:20230504T153822Z
UID:79046-1684929600-1684933200@c2smart.engineering.nyu.edu
SUMMARY:Summer Webinar Series- Route Choice and Spatio-Temporal Behavior: The Perturbed Utility Route Choice Model
DESCRIPTION:  \nThe perturbed utility route choice model represents traveler behavior as a utility maximizing assignment of flow across an entire network under a flow conservation constraint. Substitution between routes depends on how much they overlap. The model is estimated considering the full set of route alternatives\, and no choice set generation is required. Nevertheless\, estimation requires only linear regression and is very fast. Predictions from the model can be computed using convex optimization\, and computation is straightforward even for large networks. In this talk\, Professor Fosgerau presents results from application to large datasets (1\,337\,096 GPS traces of car trips\, 280\,000 GPS traces of bicycle trips) in Copenhagen. \nSPEAKER \nMogens Fosgerau is a professor in the Economics Department\, University of Copenhagen. His areas of research include micro-economics and micro-econometrics applied to problems in transportation\, in particular to issues concerning time\, reliability and congestion. \nPresented by the Transportation Research Board Subcommittee on Route Choice and Spatio-Temporal Behavior (AEP30/AEP40)
URL:https://c2smart.engineering.nyu.edu/event/route-choice-and-spatio-temporal-behavior-the-perturbed-utility-route-choice-model/
CATEGORIES:Big Data & Planning for Smart Cities
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230522T153000
DTEND;TZID=America/New_York:20230522T164500
DTSTAMP:20260406T085223
CREATED:20230503T171010Z
LAST-MODIFIED:20230504T154007Z
UID:79082-1684769400-1684773900@c2smart.engineering.nyu.edu
SUMMARY:USDOT Free Public Webinar:  Intersection Safety Challenge Prize Competition
DESCRIPTION:The U.S. Department of Transportation (DOT) will host a webinar on May 22 to discuss the Intersection Safety Challenge Prize Competition\, which launched on April 25\, 2023. \nEach year\, roughly one-quarter of traffic fatalities and about one-half of all traffic injuries in the United States are attributed to intersections. According to the latest data from the National Highway Traffic Safety Administration (NHTSA)\, an estimated 42\,939 people died in motor vehicle traffic crashes in 2021\, a 10.1% increase compared to 39\,007 fatalities reported in 2020. From 2020 to 2021\, pedestrian and pedalcyclist fatalities and injuries increased at an alarming rate. For example\, pedestrian fatalities increased 13% and pedestrian injuries increased 11% from 2020 to 2021. In response to growing concerns regarding the safety of vulnerable road users at intersections and as part of the recent National Roadway Safety Strategy (NRSS) Call to Action\, the DOT aims to transform intersection safety through the innovative application of emerging technologies to identify and mitigate unsafe conditions involving vehicles and vulnerable road users. \nTo help address this growing problem and support U.S. DOT’s vision\, U.S. DOT is launching the Intersection Safety Challenge. This Challenge includes a multi-stage Prize Competition to encourage teams of innovators and end-users to develop and test their intersection safety systems (ISS) to compete for up to $6 million total in prizes. \nThe Challenge is considering the potential of emerging technologies to transform intersection safety and ensure equity among all road users (including vehicles and vulnerable road users). Leveraging emerging technologies to anticipate\, prevent\, and mitigate unsafe roadway conditions could augment traditional safety engineering in roadway design and intersection control. These emerging technologies could include machine vision\, machine perception\, sensor fusion\, real-time decision-making\, artificial intelligence\, and vehicle-to-everything (V2X) communications (among other approaches). These technologies in most cases rely on real-time decision-making informed by data ingested and analyzed from multiple sensor systems. \nThe webinar will discuss the U.S. DOT Intersection Safety Challenge Prize Competition\, including a program overview\, the Prize Competition structure\, and Stage 1A expectations. Please register for this webinar by visiting the following registration link: https://iscwebinar.eventbrite.com. \nFor more information about the program\, please visit the program website: https://its.dot.gov/isc. For more information about the ITS JPO\, please visit: https://www.its.dot.gov/.
URL:https://c2smart.engineering.nyu.edu/event/usdot-free-public-webinar-intersection-safety-challenge-prize-competition/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Safety in Transportation Systems,Virtual Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230519T140000
DTEND;TZID=America/New_York:20230519T150000
DTSTAMP:20260406T085223
CREATED:20230503T170846Z
LAST-MODIFIED:20230504T194131Z
UID:79072-1684504800-1684508400@c2smart.engineering.nyu.edu
SUMMARY:Deep Neural Networks for Choice Analysis
DESCRIPTION:Individual choice has been an enduring question across disciplines. Deep neural networks (DNNs) have demonstrated their high predictive power over the classical discrete choice models (DCMs) in many empirical studies. However\, DNNs as a new modeling paradigm still present pressing challenges in interpretation\, generalization\, and robustness. This presentation introduces a deep choice framework that synergizes DNNs and DCMs to model individual travel decision. It demonstrates that the DNNs can provide economic information as complete as classical DCMs\, including choice predictions\, choice probabilities\, market shares\, substitution patterns of alternatives\, social welfare\, heterogeneous values of time\, among many others\, thus partially resolving the interpretation challenge. It introduces how to use the prior behavioral knowledge to design a particular DNN architecture with alternative-specific utility functions\, which improves the generalizability of DNNs with a domain-knowledge-based regularization method. It then extends the framework to deep hybrid models\, which integrates classical numerical data and the unstructured data (i.e.\, imagery and graphs) to analyze travel behavior. Overall\, this presentation lays out a new foundation of using DNNs to analyze travel demand\, enhancing economic interpretation\, architectural design\, and robustness of deep learning through classical utility theory. \n\n\nSPEAKER \nShenhao Wang is an assistant professor and the director of the Urban Artificial Intelligence Laboratory at the University of Florida. He is also a research affiliate to Urban Mobility Lab and Media Lab at the Massachusetts Institute of Technology. He seeks to develop fundamental theory for urban science using artificial intelligence. He develops deep choice models\, which analyze individual decision-making by integrating discrete choice models and deep learning with applications to urban travel behavioral analysis. He also analyzes collective mobility networks by integrating classical network theory and graph neural networks to quantify risk and uncertainty\, thus promoting resilient economic growth. Dr. Wang completed his interdisciplinary Ph.D. in Computer and Urban Science at Massachusetts Institute of Technology in 2020. He received B.A. in Economics from Peking University (2014) and B.A. in architecture and law from Tsinghua University (2011)\, Master of Science in Transportation\, and Master of City Planning from MIT (2017).
URL:https://c2smart.engineering.nyu.edu/event/deep-neural-networks-for-choice-analysis/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Big Data & Planning for Smart Cities,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230516T120000
DTEND;TZID=America/New_York:20230516T130000
DTSTAMP:20260406T085224
CREATED:20230405T182650Z
LAST-MODIFIED:20230515T215414Z
UID:78984-1684238400-1684242000@c2smart.engineering.nyu.edu
SUMMARY:Learning from big and small data for transportation planning and resilience analysis
DESCRIPTION:POSTPONED – TO BE RESCHEDULED \nCOVID has exacerbated two emerging trends in transportation analysis: (1) the rise of passively-generated big data; and (2) the increasing need to deal with the “unexpected” disruptions. This talk emphasizes the need for learning big and small data for transportation planning and resilience analysis. Different ways of learning are described\, with applications ranging from long-term planning analysis to rapid responses under disruptions. \nPRESENTER  \nCynthia Chen is a professor in the Department of Civil & Environmental Engineering at the University of Washington (Seattle). She is also a professor and the interim chair of the Department of Industrial & Systems Engineering at UW. She is an internationally renowned scholar in transportation science and directs the THINK (Transportation-Human Interaction and Network Knowledge) lab at the UW. Cynthia has published over 60 peer-reviewed publications in leading journals in transportation and systems engineering including Transportation Research Part A-F and Omega\, as well as interdisciplinary journals such as PNAS. Her research has been supported by federal agencies such as NSF\, NIH\, APAR-E\, NIST\, USDOT\, and FHWA as well as state and regional agencies. Cynthia served a two-year assignment (2017-19) as the Program Director of Civil Infrastructure Systems\, CMMI (Civil\, Mechanical\, and Manufacturing Innovation) division with the National Science Foundation. She is an associate director of TOMNET (Center for Teaching Old Models New Tricks)\, a USDOT-funded Tier 1 University Transportation Center led by ASU\, as well as a key member of the new Center of Understanding Future Travel Behavior and Demand\, a USDOT-funded national center led by UT Austin. Currently\, Cynthia serves as an associate editor for Transportation Science\, and is on the editorial board of Sustainability Analytics and Modeling.
URL:https://c2smart.engineering.nyu.edu/event/learning-from-big-and-small-data-for-transportation-planning-and-resilience-analysis/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Big Data & Planning for Smart Cities
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230515
DTEND;VALUE=DATE:20230519
DTSTAMP:20260406T085224
CREATED:20230510T203146Z
LAST-MODIFIED:20230510T203146Z
UID:79170-1684108800-1684454399@c2smart.engineering.nyu.edu
SUMMARY:KAIST-NYU: KN-C³ Workshop
DESCRIPTION:Members of faculty from KAIST (Korea Advanced Institute of Science & Technology) will visit NYU for the first KN-C³ workshop at NYU Tandon. This four-day workshop consists of research exchanges between the two schools focusing on transportation and urban research. The goal is to connect researchers and find common research interests for future collaboration. Academic exchange programs including dual and/or joint degree will also be discussed. Learn more.
URL:https://c2smart.engineering.nyu.edu/event/kaist-nyu-kn-c%c2%b3-workshop/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Conferences
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230505T120000
DTEND;TZID=America/New_York:20230505T130000
DTSTAMP:20260406T085224
CREATED:20230414T120001Z
LAST-MODIFIED:20230417T195811Z
UID:78989-1683288000-1683291600@c2smart.engineering.nyu.edu
SUMMARY:Old Models with New Tricks: Bridging the Gap in Bureau of Public Roads (BPR) Functions with A Cross-Resolution Perspective of Theoretical Fundamentals and Emerging Applications
DESCRIPTION:  \nIn transportation planning\, volume-delay functions (VDFs) are essential functions used for traffic assignment and network design problems. However\, the static Bureau of Public Roads (BPR) function\, created by the US Bureau of Public Roads in 1964\, can only provide average travel time measures and cannot capture traffic dynamics at an oversaturated bottleneck. This talk will systematically review VDF-related research\, including modeling efforts that connect traffic flow’s fundamental diagrams (FDs) to queueing models and link delay/performance functions under both undersaturated and oversaturated conditions. We will discuss a cross-resolution modeling approach for understanding the dynamic relationship between demand and supply and resulting congestion. We will also describe oversaturated system dynamics using parsimonious macroscopic analytical formulations with consistent mesoscopic queue vehicular fluid models. By providing a unified integration of multi-scale models\, city planners can have a valid analytical framework to analyze queue saturation evolution processes. The effectiveness of this approach will be demonstrated through case studies using empirical data from heavily congested corridors in metropolitan areas\, including New York\, Los Angeles\, and Phoenix. This talk will showcase how old models can be revitalized with new tricks to address the challenges of transportation planning and feedback-based control in the modern era. \nPRESENTER \nXuesong (Simon) Zhou is an Associate Professor of Transportation Systems at the School of Sustainable Engineering and the Built Environment\, Arizona State University (ASU)\, Tempe\, Arizona. Dr. Zhou’s research focuses on developing methodological advancements in multimodal transportation planning applications\, including dynamic traffic assignment\, traffic estimation and prediction\, large-scale routing\, and rail scheduling. Dr. Zhou serves as an Associate Editor of Transportation Research Part C\, an Executive Editor-in-Chief of Urban Rail Transit\, and an Editorial Board Member of Transportation Research Part B. He was the former Chair of INFORMS Rail Application Section (2016) and currently serves as a subcommittee chair of the TRB Committee on Transportation Network Modeling (AEP40). \nDr. Zhou is the Director of the ASU Transportation+AI Lab\, where he is the principal architect and programmer for several open-source packages\, including DTALite\, NEXTA\, and OSM2GMNS\, which have collectively received over 100\,000 downloads and many system deployments at various metropolitan planning agencies and state DOTs. He has published over 100 papers in Transportation Research Part B\, Transportation Research Part C\, and other leading transportation journals\, with an H-index of 54 and a total of 9\,000 citations in Google Scholar. \nIn addition to his academic achievements\, Dr. Zhou is passionate about connecting practitioners\, researchers\, academics\, students\, and others involved in transportation planning and travel modeling. He serves as the conference chair for the TRB Innovations in Travel Analysis and Planning Conference in 2023\, and a board member of Zephyr Foundation\, a non-profit organization dedicated to advancing transportation research and education.
URL:https://c2smart.engineering.nyu.edu/event/old-models-with-new-tricks-bridging-the-gap-in-bureau-of-public-roads-bpr-functions-with-a-cross-resolution-perspective-of-theoretical-fundamentals-and-emerging-applications/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230428T110000
DTEND;TZID=America/New_York:20230428T120000
DTSTAMP:20260406T085224
CREATED:20230307T165118Z
LAST-MODIFIED:20230307T165154Z
UID:78904-1682679600-1682683200@c2smart.engineering.nyu.edu
SUMMARY:Python for GIS: An Introduction to OSMnx
DESCRIPTION:Instructor: Shajnush Amir\, North South University & University of Twente\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday April 28\, 11:00am-12:00pm\nDescription: In this course\, you will learn how to harness the power of OSMnx\, a Python library for extracting and visualizing Open Street Maps data. Through hands-on exercises\, you will gain practical experience in using OSMnx to model and simulate projects and have a solid understanding of this Python library and be able to apply OSMnx to real-world problems.
URL:https://c2smart.engineering.nyu.edu/event/python-for-gis-an-introduction-to-osmnx/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230414T100000
DTEND;TZID=America/New_York:20230414T110000
DTSTAMP:20260406T085224
CREATED:20230307T164243Z
LAST-MODIFIED:20230307T164658Z
UID:78896-1681466400-1681470000@c2smart.engineering.nyu.edu
SUMMARY:Stairway Towards Systematic Review: Utilizing Rayyan Software & PRISMA Guidelines
DESCRIPTION:Instructor: Samiha Tasnim\, North South University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday April 14\, 10:00am-11:00am\nDescription: Rayyan is a free web tool that aims to help researchers work on systematic reviews by accelerating the process of screening and selecting articles. Besides\, the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist is an extensively used tool for reporting systematic reviews\, which strives to create transparent\, credible\, and reliable research results. This course intends to cover the fundamentals of using Rayyan and PRISMA\, why\, and how to utilize them to kickstart your pathway toward research.
URL:https://c2smart.engineering.nyu.edu/event/stairway-towards-systematic-review-utilizing-rayyan-software-prisma-guidelines/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230406T120000
DTEND;TZID=America/New_York:20230406T130000
DTSTAMP:20260406T085224
CREATED:20230321T133103Z
LAST-MODIFIED:20230321T133103Z
UID:78946-1680782400-1680786000@c2smart.engineering.nyu.edu
SUMMARY:Optimal dispatching of electric vehicles for providing charging on- demand service leveraging charging-on-the-move technology
DESCRIPTION:  \n  \nRange anxiety and charging infrastructure scarcity have been the main challenges for the mass adoption of electric vehicles (EVs). The emerging mobile electric-vehicle-to-electric-vehicle (mE2) charging technology offers a promising solution\, which combines battery-to-battery and connected and autonomous vehicle technologies to enable an EV with an extra battery to charge another EV on the move. This webinar focuses on the efficient pairing and routing of electricity providers (EPs) to demand (EDs) by extending the existing Charging-as-a-Service (CaaS) strategy to the mE2 charging service (referred to as CaaS + ). Dr. Lili Du will discuss the EP fleet management problem\, which is mathematically modeled as a vehicle routing problem (i.e.\, mE2-VRP)\, aiming to optimally dispatch the minimum number of EPs to approach and serve the EDs using different proportions of EV flows to save EDs’ travel time and mitigate traffic congestion to different extents in different network congestion and charging station coverage scenarios. She will also discuss suggestions for improving the service efficiency of CaaS + . \nPRESENTER  \nDr. Lili Du is an associate professor in the Civil and Coastal Engineering Department\, University of Florida. Before that\, she worked as an assistant and then an associate professor at the Illinois Institute of Technology (IIT) from 2012 to 2017\, and as a Post-doctoral Research Associate for NEXTRANS at Purdue University from 2008 to 2012. Dr. Du received her Ph.D. degree in Decision Sciences and Engineering Systems with a minor in Operations Research and Statistics from Rensselaer Polytechnic Institute in 2008. Dr. Du’s research is characterized by integrating operations research\, network modeling\, game theory\, control theory\, machine learning\, and statistical methods into traffic flow analysis\, transportation system analysis\, and network modeling. Her current research mainly focuses on the impacts of connected and/or autonomous vehicles and electric vehicles\, mobility on demand\, smart curb\, network resilience\, and traffic flow analysis. Dr. Du’s research has been published in Transportation Research Part B\, Part C\, and Part D\, IEEE Transactions on ITS\, Networks and Spatial Economics. Her research has been funded by National Science Foundation (NSF)\, State DOT\, STRIDE UTC\, and Toyota InfoTechnology Center. Dr. Du is a recipient of the NSF CAREER award in 2016. Her recent project\, “Driverless City” won the First Nayar Prize at IIT. She is the founding chair of both TRB AEP40-4 subcommittee on Emerging Technologies in Network Modeling and ASCE-T&DI Artificial Intelligence in Transportation Committee. She serves as an editor for Transportation Research Part B: Methodological\, an associate editor for IEEE Transactions on Intelligent Transportation Systems\, and a member of the editorial advisory board for Transportation Research Part C: Emerging Technologies.
URL:https://c2smart.engineering.nyu.edu/event/optimal-dispatching-of-electric-vehicles-for-providing-charging-on-demand-service-leveraging-charging-on-the-move-technology/
CATEGORIES:Big Data & Planning for Smart Cities
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230331T130000
DTEND;TZID=America/New_York:20230331T140000
DTSTAMP:20260406T085224
CREATED:20230228T185359Z
LAST-MODIFIED:20230307T210858Z
UID:78857-1680267600-1680271200@c2smart.engineering.nyu.edu
SUMMARY:Unleash Your Creativity with Unity 3D Simulation and Transportation Network Modeling
DESCRIPTION:Instructor: Lukelo Thadei Luoga\, New York University Abu Dhabi\nSchedule: Friday March 31\, 1:00-2:00pm\nDescription: In this hands-on course\, you’ll learn how to use Unity 3D to build 3D models of road networks. You’ll start with the basics of Unity 3D\, including its interface\, GameObjects\, components\, and scripting. From there\, you’ll dive into building 3D models of road networks\, covering elements such as roads\, buildings\, and terrain.
URL:https://c2smart.engineering.nyu.edu/event/unleash-your-creativity-with-unity-3d-simulation-and-transportation-network-modeling/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230328T180000
DTEND;TZID=America/New_York:20230328T190000
DTSTAMP:20260406T085224
CREATED:20230318T004157Z
LAST-MODIFIED:20230324T202028Z
UID:78941-1680026400-1680030000@c2smart.engineering.nyu.edu
SUMMARY:5th Women in Transportation Panel Discussion and Networking Event
DESCRIPTION:The C2SMART Center and the NYU chapter of the Institute of Transportation Engineers (ITE) are excited to host our annual Women in Transportation Panel Discussion\, including an opportunity for attendees to network and socialize. This year’s panel boasts three amazing women working in the transportation industry who will share their perspectives and experiences. \nThis event is a one-hour evening event in a panel format with women from within the industry and agencies with professional experience in the engineering and planning field\, to help engage the female students and empower them to pursue their career goals. They will discuss gender challenges in the engineering/ planning field\, give advice for overcoming those challenges\, and tips for future transportation engineers/planners. The event will conclude with a 10-minute Q&A and an opportunity for the students to network with the panelists. Pizza and refreshments will be provided. \nPLEASE NOTE: this will be a hybrid event\, and all attendees are welcome to come in-person. However\, ALL attendees must register via Zoom\, regardless of whether they are attending in person\, in order to receive building access. \nPANELISTS \nNadereh Moini is the Chief of Transportation at the New Jersey Sports and Exposition Authority (NJSEA) Formerly Known as New Jersey Meadowlands Commission. She has diverse scholar and field experiences in planning\, design\, safety\, operation\, maintenance\, and assessment of multimodal transportation systems and the application of the state-of-the-art technologies in transportation. In her current capacity\, she is managing more than 125 adaptive signalized intersections throughout the Meadowlands District. She is also responsible to develop “Meadowlands District Transportation Plan” and the first “Meadowlands Action Plan for Safety”\, which is newly funded by USDOT. \nShe holds Ph.D. in Civil & Environment Engineering. She is a licensed Professional Engineer in the states of NY and NJ. She is also a registered Professional Traffic Operation Engineer (PTOE) and Professional Transportation Planner (PTP). Additionally\, she has International Municipal Signal Association –IMSA Level I Certification. \nHaley Hutson is a Traffic Engineer at AKRF\, Inc. Haley started her career in Texas after graduating from the University of Texas and has spent the past two years working in New York. She specializes in adaptive traffic signal controls\, traffic modeling\, and roadway design. She is the Vice Chair for the ITE Urban Goods Committee and a co-chair of the ITE Met Section Young Member Committee. When her engineering hat isn’t on she is a Senior Disaster Responder volunteer for the Red Cross. \nMira Philipson is Senior Analyst for MTA’s Accessibility team in the Office of the Chair. In her four and a half years working to improve accessibility across the MTA\, she has researched and piloted new solutions\, technological and otherwise\, for people with disabilities and all customers. She has managed pilot projects including the Accessible Station Lab and Transit Innovation Partnership’s Transit Tech Lab Accessibility Challenge to discover smartphone wayfinding applications and other physical wayfinding solutions in subway stations and along bus routes. She also collaborates internally to ensure all MTA content\, public-facing and employee-facing\, is accessible. Her role also includes maintaining relationships and conducting outreach with members of the disability community in New York\, as well as collaboration with accessibility professionals at public transportation agencies across the country and world to information and experience-share. \nMira graduated from Barnard College with a Bachelor of Arts degree in Urban Planning with a Concentration in Sociology. She completed her senior thesis on the history of the Second Avenue Subway after spending time studying European urban transportation in Copenhagen\, Denmark. She is passionate about making cities\, and specifically transportation infrastructure\, more accessible to underserved populations.
URL:https://c2smart.engineering.nyu.edu/event/5th-women-in-transportation-panel-discussion-and-networking/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230324T120000
DTEND;TZID=America/New_York:20230324T130000
DTSTAMP:20260406T085224
CREATED:20230228T185239Z
LAST-MODIFIED:20230228T200855Z
UID:78855-1679659200-1679662800@c2smart.engineering.nyu.edu
SUMMARY:Unlock the Power of Graph Neural Networks: Understanding the Fundamentals and Knowing When to Implement
DESCRIPTION:Instructor: Zilin Bian\, New York University\nSchedule: Friday March 24\, 12:00pm-1:00pm\nDescription: Graph Neural Networks (GNNs) are a powerful tool for analyzing and processing graph-structured data. This course covers the basics of GNNs\, including graph convolutional networks\, graph attention networks and graph wavelet networks\, including how they work and how to implement them. The session aims to provide a solid understanding of GNN modeling for machine learning practitioners\, data scientists\, and anyone interested in AI advancements.
URL:https://c2smart.engineering.nyu.edu/event/unlock-the-power-of-graph-neural-networks-understanding-the-fundamentals-and-knowing-when-to-implement/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230310T110000
DTEND;TZID=America/New_York:20230310T120000
DTSTAMP:20260406T085224
CREATED:20230228T185039Z
LAST-MODIFIED:20230228T200629Z
UID:78851-1678446000-1678449600@c2smart.engineering.nyu.edu
SUMMARY:Chatting with ChatGPT: Exploring the Advancements in AI Language Models
DESCRIPTION:Instructor: Fan Zuo\, New York University\nSchedule: Friday March 10\, 11:00am-12:00pm\nDescription:  In this course\, you will learn about ChatGPT\, a state-of-the-art language model developed by OpenAI. You will gain an understanding of how ChatGPT works and how it can be used to generate human-like text\, answer questions\, and perform various natural language processing tasks. Through hands-on activities and live demos\, you will also get to apply ChatGPT to real-world problems and understand its advantages as well as limitations. Whether you are a student\, developer\, or researcher\, this course will provide you with a solid foundation in the exciting field of AI and natural language processing. (Yes\, this is written by ChatGPT!)
URL:https://c2smart.engineering.nyu.edu/event/chatting-with-chatgpt-exploring-the-advancements-in-ai-language-models/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230222T083000
DTEND;TZID=America/New_York:20230222T120000
DTSTAMP:20260406T085224
CREATED:20230213T225934Z
LAST-MODIFIED:20230214T171906Z
UID:78673-1677054600-1677067200@c2smart.engineering.nyu.edu
SUMMARY:2nd NYU-TJU Urban Transportation Forum
DESCRIPTION:3On February 22\, 2023\, New York University and Tongji University are joining forces to host an online urban transportation forum. The topics to be covered in this virtual event include the future of transportation\, sustainability and equity in transportation systems\, travel behavior\, and safety in urban transportation. This forum will provide a platform for experts and students to come together and discuss the pressing issues in the field\, and offer new perspectives on shaping the future of urban transportation. \nAgenda (click to expand)\n20230222 NYU-TJU 2nd Urban Transportation Forum Agenda \nPre-registration via Zoom is required. Please click the Register button below.
URL:https://c2smart.engineering.nyu.edu/event/2nd-nyu-tju-urban-transportation-forum/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Safety in Transportation Systems
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230221T160000
DTEND;TZID=America/New_York:20230221T170000
DTSTAMP:20260406T085224
CREATED:20230131T005044Z
LAST-MODIFIED:20230131T173754Z
UID:78598-1676995200-1676998800@c2smart.engineering.nyu.edu
SUMMARY:Roundtable on Traffic Safety Research featuring Dr. Tarek Sayed
DESCRIPTION:The increasing popularity of smart cities and recent developments in sensing\, edge computing and vehicle technologies and the availability of “big data” combined with sophisticated AI techniques offer an opportunity to substantially advance and fundamentally transform the road safety profession—enabling continuous\, real-time\, proactive safety evaluation and optimization. The application of innovations that are both progressing and disrupting the status quo represents an opportunity for improved transportation safety. However\, with the introduction of new modes of mobility and the complex interactions created by these different technologies within the transportation system\, governments will need to rely on advanced research and analysis techniques to support policies towards the transition to these new forms of mobility and technologies. These issues are discussed and several methods and techniques developed in this area are described with example projects from several agencies worldwide. \n  \nTarek Sayed is a distinguished professor and a Tier 1 Canada Research Chair of Transportation Safety and Advanced Mobility at the University of British Columbia. His research focuses on traffic operation and safety\, Intelligent Transportation Systems (ITS)\, and the application of information technologies.
URL:https://c2smart.engineering.nyu.edu/event/roundtable-on-traffic-safety-research-featuring-dr-tarek-sayed/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Safety in Transportation Systems
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230214T103000
DTEND;TZID=America/New_York:20230214T113000
DTSTAMP:20260406T085224
CREATED:20230207T185522Z
LAST-MODIFIED:20230207T185522Z
UID:78624-1676370600-1676374200@c2smart.engineering.nyu.edu
SUMMARY:A Framework for Modeling Human-vehicle Interactions with Increasingly Autonomous Systems
DESCRIPTION:Dr. Linda Ng Boyle is a Professor of Industrial Systems Engineering & Civil and Environmental Engineering at the University of Washington
URL:https://c2smart.engineering.nyu.edu/event/a-framework-for-modeling-human-vehicle-interactions-with-increasingly-autonomous-systems/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230206T174500
DTEND;TZID=America/New_York:20230206T193000
DTSTAMP:20260406T085224
CREATED:20230131T011055Z
LAST-MODIFIED:20230131T011202Z
UID:78611-1675705500-1675711800@c2smart.engineering.nyu.edu
SUMMARY:Transit Techies #13: Projects on Bike Safety & Infrastructure with NYU Tandon
DESCRIPTION:  \n \n  \nTransportation Techies is a group of technologists\, urban planners\, commuters and more who are interested in how technology can enable the future of mobility in metropolitan areas. This showcase will feature 2 projects on improving commuting experience for bikers in NYC. First\, Ariel Kadouri will give an update on mapping bike and pedestrian infrastructure. He will be giving his State of the Map talk\, and opening it up for Q&A. \nFollowing this\, C2SMART’s Suzana Duran Bernardes give a live demo of her mountable sensors to improve cyclist safety. She will deliver a Q&A afterwards. \n  \n 
URL:https://c2smart.engineering.nyu.edu/event/transit-techies-13-projects-on-bike-safety-infrastructure-with-nyu-tandon/
LOCATION:370 Jay Street\, Room 1201\, 370 Jay Street\, Brooklyn\, 11201
CATEGORIES:Shared & Micromobility
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221202T130000
DTEND;TZID=America/New_York:20221202T140000
DTSTAMP:20260406T085224
CREATED:20221202T182137Z
LAST-MODIFIED:20221202T182137Z
UID:78366-1669986000-1669989600@c2smart.engineering.nyu.edu
SUMMARY:Smart Electric Vehicle Charging: Modeling Drivers’ Choices and Autonomous Vehicles’ Strategies
DESCRIPTION:As transportation is increasingly electrified\, understanding travel and charging choices of electric vehicle drivers and users of shared electric mobility systems is crucial for service planning and operations. Ultimately\, quantitative models of users’ behavior enable the estimation of local and regional demand impinging on transportation and electricity networks and the development of approaches to manage the demand so that such networks can operate efficiently. Developing realistic models of individual behavior to use as “users’ digital twins” in planning and operations is challenging enough\, due to the inherent uncertainties of how individuals make everyday choices and their heterogeneity in approaching decisions. Even more challenging is to attempt to anticipate how users might respond to new technologies and changes in infrastructure or services. In this case choice data from systems’ operations or “revealed preference” users’ surveys may not exist\, be available only from early adopters\, or relate to the system before the change. In this case\, often the only option available is to generate new data using choice experiments. In the first part of this seminar\, Dr. Daina will present pioneering work adopting these techniques to model electric vehicles driver’s charging choices under smart charging. While in the near term e-mobility is and will be dominated by human drivers\, on demand e-mobility services delivered by fleets of autonomous vehicles are on the horizon. Therefore\, in the second part of this talk\, he will present recent work on reinforcement learning approaches to smart charging management of shared autonomous electric vehicle fleets. \nDr. Nicolò Daina is a Research Scientist in the Department of Civil Engineering and Engineering Mechanics and a Research Scholar at the Center on Global Energy Policy at Columbia University. Using data science approaches\, econometric techniques and experimentation Dr. Daina seeks to characterize and model the behavior of users of integrated transportation and energy systems. By developing realistic behavioral models and embedding them in systems’ simulation and optimization\, Dr. Daina’s research aims to harness the flexibility and the cooperation of end users in both planning and operations of integrated transportation and energy systems as they transition to net-zero. Dr. Daina obtained his PhD in Transport from Imperial College London in 2014. Following his PhD\, he worked at Imperial College London’s Department of Civil and Environmental Engineering first as a postdoctoral research associate then as a research fellow. Before moving to Columbia University\, Dr. Daina was appointed as a faculty (Chancellor’s Fellow and Lecturer in Transport Policy) at the University of Strathclyde\, Glasgow in the United Kingdom. Dr. Daina is currently an Honorary Lecturer in the School of Government and Public Policy of the University of Strathclyde. He is also a member of the US’ Transportation Research Board’s Standing Committee on Alternative Fuels and Technologies.
URL:https://c2smart.engineering.nyu.edu/event/smart-electric-vehicle-charging-modeling-drivers-choices-and-autonomous-vehicles-strategies/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221118T130000
DTEND;TZID=America/New_York:20221118T140000
DTSTAMP:20260406T085224
CREATED:20221007T202022Z
LAST-MODIFIED:20221111T225842Z
UID:78095-1668776400-1668780000@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: How to develop a survey using Qualtrics: A step-by-step guide
DESCRIPTION:Instructor: Hella Alnajjar\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday\, November 18\, 2022\, 1:00pm – 2:00pm\nDescription: This course is for students who want to learn how to conduct\, distribute\, and analyze a survey-based study using Qualtrics\, a powerful online survey tool\, for research purposes. The lesson will include hands-on exercises on how to create sets of questions of various types\, import data\, set up a display or skip logic for a question\, and how to effectively visualize\, export and analyze the data collected.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-how-to-develop-a-survey-using-qualtrics-a-step-by-step-guide/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221116T160000
DTEND;TZID=America/New_York:20221116T170000
DTSTAMP:20260406T085224
CREATED:20221005T141434Z
LAST-MODIFIED:20221111T225455Z
UID:77918-1668614400-1668618000@c2smart.engineering.nyu.edu
SUMMARY:Connected Vehicle Applications: Lessons Learned and Future Research & Deployment Roundtable
DESCRIPTION:The USDOT Connected Vehicle (CV) Pilot Program sought to test vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications to improve tranportation systems\, mobility\, and safety with real-world deployments in New York City\, Tampa\, and Wyoming. \nThis roundtable discussion will focus on these recently completed connected vehicle pilots and the lessons learned. Our panelists will feature practitioners\, decision-makers\, and researchers involved in CV deployments and leading the way for their wide-scale adoption. \nThis roundtable caps off C2SMART’s State of the Field: Connected Vehicle Applictions series\, and there will be a synthesis of prior presentations and a discussion on future directions and applications for research\, testing\, and deployment. \nWe look forward to your participation! \nPanelists: \n \nSisinnio Concas serves as Program Director at the Center for Urban Transportation Research (CUTR) and Research Associate Professor the University of South Florida (USF) College of Engineering. Dr. Concas has over 20 years of experience as a transportation economist conducting economic impact and benefit-cost analyses for public transportation\, airport and roadway projects. Dr. Concas leads CUTR’s Autonomous & Connected Mobility Evaluation (ACME) Program. ACME focuses on producing quick-response solutions to better inform practitioners and policy maker in selecting and prioritizing cost-feasible innovative transportation alternatives. He has performed numerous research projects for the U.S. Federal Transit Administration\, Federal Highway Administration\, the Florida Department of Transportation\, state and local transportation authorities. Dr. Concas leads the Performance Measurement Evaluation and Support of the Tampa CV Pilot Deployment. \n \nDr. Mohamad Talas is the Deputy Director of ITS System Engineering\, New York City Department of Transportation. He brings long standing career experience in traffic engineering and continue with over 27 years in Traffic Engineering and Operation experience in New York City Department of Transportation. He currently serves as the Director for the NYC Department of Transportation ITS project Management\, Research and Development where he supervises the Intelligent Transportation System projects and initiatives in New York City. These projects include the development and implementation of the New York City Traffic Computerization System at the Traffic Management Center modernizing and operating over 12\,000 signals and the currently deployed Active Traffic Management System in in Manhattan(Midtown In Motion) and NYC Connected Vehicle Pilot Deployment. He has earned his PhD in Transportation Planning and Engineering at NYU -Poly University\, Master degrees in Transportation\, Planning and Engineering and a Masters in Electrical Engineering from Fairleigh Dickinson University. \n \nBilly Chupp is a data analyst and engineer at the U.S. Department of Transportation’s Volpe Transportation Systems Center in Cambridge\, Massachusetts. Mr. Chupp supports a wide range of projects at the Volpe Center including cloud database and analysis system development and management for DOT’s Chief Data Officer\, artificial intelligence and machine learning development initiatives for DOT’s ITS Joint Program Office\, and air quality modeling and data analysis projects for the Federal Highway Administration. Mr. Chupp most recently served as the technical lead on Volpe’s independent safety evaluation effort for the three connected vehicle pilot programs in New York City\, Tampa\, and Wyoming\, and continues to support the ITS JPO on data documentation and strategy efforts within the connected vehicle space and beyond. \n \nDr. Karl Wunderlich holds a joint appointment at Noblis in Washington\, DC.\, serving as both is the Director of the Surface Transportation Division and the Director of the Noblis Autonomous Systems Research Center. He is a key contributor to both research and development projects and technology deployment programs sponsored by the US Department of Transportation (USDOT) and the Federal Highway Administration (FHWA). Dr. Wunderlich is an expert in the use of simulation techniques to evaluate the potential impact of emerging technologies to improve traveler mobility or system productivity – including vehicle connectivity\, autonomy\, and blockchain. He is a published author and patent-holder in orchestrated autonomy\, which leverages blockchain to create efficient and collision-free path planning among heterogenous\, unfamiliar\, and autonomous machines. Dr. Wunderlich holds a Ph.D. in Operations Research from the University of Michigan. \nDr. Kaan Ozbay is a Professor at New York University’s Tandon School of Engineering\, and Director of C2SMART Center\, a Tier 1 USDOT University Transportation Center. Dr. Ozbay served as Principal Investigator (PI) of the NYU/C2SMART team as part of the NYCDOT-led New York City Connected Vehicle Pilot\, under USDOT’s Connected Vehicle Pilot Program. He joined NYU’s Department of Civil and Urban Engineering and Center for Urban Science and Progress (CUSP) in August 2013\, and 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). \nModerated by: \nJingqin (Jannie) Gao completed her Ph.D. in Transportation Planning and Engineering at NYU Tandon\, where she works with C2SMART Director Kaan Ozbay. She studied Science and Technology of Optical Information and received her B.S. from Tongji University in China and her M.S in Transportation Planning and Engineering from New York University. Her research interests lie in offline and real-time simulation modeling\, big data and machine learning approach for transportation\, and transportation economics. She also worked for the New York City Department of Transportation on modeling and data analysis to support the agency’s internal planning\, technical review processes and coordinated with external agencies on regional projects since 2012. Jingqin is the former president of NYU’s joint Institute of Transportation Engineers (ITE) and The Intelligent Transportation Society of America (ITS) Student Chapter during 2018-2019\, through which she organized various company visits\, tech talks\, women in transportation events and the 2019 ITE Northeastern District Traffic Bowl.
URL:https://c2smart.engineering.nyu.edu/event/connected-vehicle-applications-lessons-learned-and-future-research-deployment-roundtable/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Connected & Autonomous Mobility,Webinars
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
END:VCALENDAR