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DTSTART;TZID=America/New_York:20230519T140000
DTEND;TZID=America/New_York:20230519T150000
DTSTAMP:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071438
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/
LOCATION:
CATEGORIES:Big Data & Planning for Smart Cities
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230331T130000
DTEND;TZID=America/New_York:20230331T140000
DTSTAMP:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071438
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:20260406T071439
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:20260406T071439
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:20260406T071439
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:20260406T071439
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:20260406T071439
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221111T130000
DTEND;TZID=America/New_York:20221111T140000
DTSTAMP:20260406T071439
CREATED:20221008T150913Z
LAST-MODIFIED:20221103T142233Z
UID:78093-1668171600-1668175200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Machine learning and Deep learning approaches in bridge degradation modeling and forecasting
DESCRIPTION:Instructor: Zhanhang Li\, Rutgers University\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Wednesday\, November 11\, 2022\, 1:00pm – 2:00pm\nDescription: This course will provide students with a foundational understanding of machine learning models and degradation processes. With the bridge degradation modeling case study\, students will learn about different types of neural networks\, their strengths\, and context of application. Case studies and live demos will be provided using Artificial Neural Network (ANN) (Multilayer Perceptron [MLP]) and Convolutional neural network (CNN) for bridge rebar degradation modeling.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-machine-learning-and-deep-learning-approaches-in-bridge-degradation-modeling-and-forecasting/
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:20221110T090000
DTEND;TZID=America/New_York:20221110T130000
DTSTAMP:20260406T071439
CREATED:20221021T131004Z
LAST-MODIFIED:20221023T132150Z
UID:78138-1668070800-1668085200@c2smart.engineering.nyu.edu
SUMMARY:Workshop: Defining Flood Risk Metrics to Place FloodNet Sensors in New York City
DESCRIPTION:Inland and coastal floods caused by severe weather events have always been a threat for New York City (NYC). Only last year\, Hurricane Ida brought massive precipitation to the city\, shattering historical records for single-hour rainfall. Hurricane Ida’s precipitation exceeded the stormwater network’s capacity\, ultimately flooding streets\, subways\, and homes\, and tragically taking the lives of 13 New Yorkers. \nThe NYU Disaster Risk Analysis Lab\, FloodNet Team\, and the NYC Mayor’s Office of Climate and Environmental Justice are working together to identify NYC’s areas with the highest flood risk to help NYC place FloodNet sensors. NYC FloodNet is a flood data collection program for real-time street-level flood information to city agencies\, residents\, emergency response teams\, and researchers. The city has already installed 29 FloodNet sensors and will install another 500 in priority areas citywide over the next five years. \nThis workshop will bring together multiple stakeholders to help the city prioritize the areas for deploying NYC FloodNet sensors. To prioritize these areas\, we invite emergency responders\, city officers\, researchers\, and disaster risk specialists to propose\, discuss\, and assess comprehensive risk metrics with a thorough consideration of equity for our communities. By combining multiple stakeholders’ perspectives\, we will create a wider picture of flood impacts on the city\, assigning a scale of importance to the different risk and equity metrics. The workshop will also be an opportunity to explore how FloodNet sensors can help support many other uses for flood risk management and mitigation to build a more resilient and equitable NYC. \nThis workshop is sponsored by the NYU Connected Cities with Smart Transportation (C2SMART) Center. \nWorkshop Schedule \n9:00 – 10:00 Presentations\n● Welcome\n● Overview of Flood Risk in New York City\n● Overview of FloodNet Initiative\n● Stormwater Resiliency Plan \n10:00 – 10:15 Icebreaker activity\nA brief activity for self introduction and familiarization among the participants. \n10:15 – 11:45 Brainstorming and moderated discussion on three main topics:\n● Quantitative risk assessment for floods in New York City\n● Equity and environmental justice\n● FloodNet data collection and usage \n11:50 – 12:30 Quantitative Exercise: Analytic Hierarchy Process (AHP)\nIndividual ranking exercise of available quantitative metrics to assess flood risk in New York City.
URL:https://c2smart.engineering.nyu.edu/event/workshop-defining-flood-risk-metrics-to-place-floodnet-sensors-in-new-york-city/
LOCATION:370 Jay Street\, Room 1201\, 370 Jay Street\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221109T130000
DTEND;TZID=America/New_York:20221109T140000
DTSTAMP:20260406T071439
CREATED:20221005T141334Z
LAST-MODIFIED:20221031T164807Z
UID:77915-1667998800-1668002400@c2smart.engineering.nyu.edu
SUMMARY:Simulation-Based Safety Evaluation Framework for Connected Vehicle Applications for Safety And Operational Measures
DESCRIPTION:Proper calibration process is key for traffic safety evaluations using simulation models. Allowing for a with and without comparison under controlled environment that is not directly testable in the field\, microsimulation-based approach has drawn considerable attention for the performance evaluation of emerging technologies\, including connected vehicle (CV) safety applications. Different from the traditional approaches to evaluate mobility impacts\, safety evaluations of such applications demand the simulation models to be well calibrated to match real-world safety conditions. This seminar will present a novel calibration framework which combines traffic conflict techniques and multi-objective stochastic optimization to calibrate the operational and safety measures simultaneously. The conflict distribution of different severity levels categorized by time-to-collision (TTC) is applied as the safety performance measure. Simultaneous perturbation stochastic approximation (SPSA) algorithm\, which can efficiently approximate the gradient of the multi-objective stochastic loss function\, is used for model parameters optimization that minimizes the total simulation error of both operational and safety performance measures. A case study will be demonstrated by calibrating a microscopic simulation model to evaluate CV safety applications as a part of the NYC Connected Vehicle Pilot Deployment Program. \nSpeaker: \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).
URL:https://c2smart.engineering.nyu.edu/event/simulation-based-safety-evaluation-framework-for-connected-vehicle-applications-for-safety-and-operational-measures/
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:20221104T130000
DTEND;TZID=America/New_York:20221104T140000
DTSTAMP:20260406T071439
CREATED:20221007T201730Z
LAST-MODIFIED:20221008T150913Z
UID:78091-1667566800-1667570400@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Everything you need to know about digital twins: Building a campus model
DESCRIPTION:Instructor: Talha Azfar\, Ph.D Candidate at UTEP\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Friday\, November 4\, 2022\, 1:00pm – 2:00pm\nDescription: Realistic digital geographical models of real-world locations are a necessary starting point for digital twin applications\, especially for simulation and visualization. This presentation will cover efficient and convenient procedures to create a 3D digital model of the UTEP campus along with the road network on the Unreal Engine project for CARLA\, a driving simulator. This can enable applications like computer vision\, traffic simulation\, and autonomous driving experimentation.  It can serve as a testbed for connected sensors and synchronized databases towards a complete digital twin.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-everything-you-need-to-know-about-digital-twins-building-a-campus-model/
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:20221102T160000
DTEND;TZID=America/New_York:20221102T170000
DTSTAMP:20260406T071439
CREATED:20221021T130927Z
LAST-MODIFIED:20221031T165604Z
UID:78135-1667404800-1667408400@c2smart.engineering.nyu.edu
SUMMARY:Deluge Data\, Data Deluge
DESCRIPTION:Virtual Sessions: October 19th\, 26th and November 2nd\, 2022\nIn person symposium @ Tandon School of Engineering\, NYU (Brooklyn Campus): November 4th\, 2022\nRegister for all sessions here\n\nThe FloodNet Consortium is pleased to host Deluge Data\, Data Deluge\, an online talk series and in-person symposium that brings critical perspectives from the humanities and arts into dialogue with engineering and data practitioners engaged in flood sensing. The online talks will be held over three weeks\, culminating in an in-person day-long symposium held at New York University’s Brooklyn campus in fall of 2022. \nClimate change in New York City means a future of flooding. With sea level rise and increasingly intense rainstorms\, flooding is expected to have an outsized influence on public health\, infrastructure\, and mobility in urban areas. One response to this growing challenge is improving the city’s data collection capacities through the construction of a city wide flood sensor network\, capable of providing real time\, hyperlocal flood data. In this symposium we consider flooding as a signal of a rapidly changing environment to ask\, what does it mean for flooding to become digitally sensed? We aim to explore the following questions: \n\nWhat does data do? What are the potentials and limitations of data-driven technologies and practices in climate change response\, adaptation and resilience? How does the way it is produced\, presented and shared shape how cities manage present day and coming environmental change?\nWhat role can data play to engage different publics with issues of flooding and climate emergency responsiveness? How are different publics already engaging with these technologies and data? How can data catalyze public engagement in new ways? How are data-driven technologies reshaping issues of equity and justice in flood response?\nHow can we bring critical perspectives from the humanities and arts into dialogue with engineering and data practitioners? This event aims to catalyze a dialogue between theory and practice\nWhat are principles and pathways for building public engagement with flood data?\n\nSponsors\nThis event is supported by the Alfred P. Sloan Foundation\, the Department of Integrated Design and Media\, New York University and the Advanced Science Research Center at the City University of New York. \n\n\n\nOrganizing Team\n\n\n\n\n\nTega Brain is an artist\, researcher and environmental engineer. She investigates implications of emerging computational technologies on how the environment is understood and imagined. She is an Industry Associate Professor in the department of Technology\, Culture and Society\, NYU Tandon School of Engineering. \n\n\n\n\n\n\n\nElizabeth Hénaff is a computational biologist and an artist investigating the way living beings interact with their environment\, with a focus on the ubiquitous and invisible microbial component of our environment. She is an Assistant Professor in the department of Technology\, Culture and Society\, NYU Tandon School of Engineering. \n\n\n\n\n\n\n\nKendra Krueger is an intersectional scientist\, educator\, artist and woman of color on many edges. She is the STEM Outreach and Education Manager at CUNY’s Advanced Science Research Center\, where she has also founded The Community Sensor Lab as a space for DIY community science and advocacy. \n\n\n\n\n\n\n\nHannah Eisler Burnett is an anthropologist who studies water and the people who live and work alongside its shifting boundaries. She is a Postdoctoral Fellow with the FloodNet Project in the department of Technology\, Culture and Society\, NYU Tandon School of Engineering.
URL:https://c2smart.engineering.nyu.edu/event/deluge-data-data-deluge/
LOCATION:370 Jay Street\, Room 825\, 370 Jay Street\, Room 1201\, New York City\, NY\, 11201\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221026T130000
DTEND;TZID=America/New_York:20221026T140000
DTSTAMP:20260406T071439
CREATED:20221007T201548Z
LAST-MODIFIED:20221008T150912Z
UID:78089-1666789200-1666792800@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Diving into open data - What is available and how to use them for transportation research
DESCRIPTION:Instructor: Hector Landes\, New York University\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Wednesday October 26\, 2022\, 1:00pm – 2:00pm\nDescription: This course will be a general introduction to how to use open data for transportation projects. It will start with a short lecture to introduce open-data sources and software to use for data engineering with a focus on demographic\, traffic\, economic\, and safety data. The second part will be a tutorial on how to retrieve data from these sources\, how to clean them\, manipulate them\, and finally visualize them. Finally\, this course will also cover how to troubleshoot during data pre-processing and how to overcome an error in either the code or the data. Hands-on exercises on how to use Excel\, Tableau\, Jupyter Notebook\, and QGIS to process the data will be presented.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-diving-into-open-data-what-is-available-and-how-to-use-them-for-transportation-research/
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:20221025T130000
DTEND;TZID=America/New_York:20221025T140000
DTSTAMP:20260406T071439
CREATED:20221005T141229Z
LAST-MODIFIED:20221014T123123Z
UID:77911-1666702800-1666706400@c2smart.engineering.nyu.edu
SUMMARY:Assisting Pedestrians with Vision Disabilities in Navigating Urban Streets – Lessons Learned from the NYC Connected Vehicle Pilot Mobile Accessible Pedestrian Signal System
DESCRIPTION:New York City is piloting connected vehicle (CV) technology to support the Vision Zero initiative and help eliminate injuries and fatalities caused by crashes. In Manhattan\, 73% of all crash fatalities involve pedestrians while this figure is only 14% nationwide. As a part of the USDOT CV Pilot Deployment Program\, two pedestrian oriented applications are deployed: 1) a generalized warning to vehicles of pedestrians in the roadway based on thermal imaging detection and 2) a Mobile Accessible Pedestrian Signal System (PED-SIG) application to assist pedestrians with vision disabilities. The PED-SIG application supports cellular communications to receive localized Signal Phase and Timing (SPaT) and MAP messages broadcast by the local Roadside Unit (RSU) to provides audio alerts and haptic prompts to assist pedestrians with vision disabilities in safely crossing streets at instrumented intersections. Volunteer participants with vision disabilities were recruited to participate in the field tests where Personal Information Devices (PIDs) were given to participants. This seminar will present how the pedestrian application was designed\, deployed and tested along with several valuable lessons learned throughout the deployment. \nSpeaker: \nDr. Jingqin (Jannie) Gao is currently working as a senior research associate at C2SMART University Transportation Center funded by the US Department of Transportation. She received her Ph.D. and M.S. in Transportation Planning and Engineering from New York University\, and her B.S. in Science and Technology of Optical Information from Tongji University. Her research interests lie in emerging technologies with emphasis on connected and automated vehicles\, accessible transportation\, big data and artificial intelligence solutions for transportation\, traffic simulation modeling\, and parking management. She was one of the lead researchers in evaluating the performance of the New York City Connected Vehicle Pilot Deploymentand and testing the mobile accessible pedestrian application. 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.
URL:https://c2smart.engineering.nyu.edu/event/assisting-pedestrians-with-vision-disabilities-in-navigating-urban-streets-lessons-learned-from-the-nyc-connected-vehicle-pilot-mobile-accessible-pedestrian-signal-system/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221019
DTEND;VALUE=DATE:20221022
DTSTAMP:20260406T071439
CREATED:20220922T182825Z
LAST-MODIFIED:20220922T182825Z
UID:77829-1666137600-1666396799@c2smart.engineering.nyu.edu
SUMMARY:Emerging Leaders in Transportation
DESCRIPTION:The Emerging Leaders in Transportation fellowship program aims to enhance the toolkit of early-career employees to make transportation more efficient\, effective and people-oriented. \nIn this competitive fellowship program\, participants will learn from top transportation and management professionals to enhance leadership skills\, communication techniques and policy work to bring innovative ideas into practice. \nThe 2022 program will take place on October 19\, 20 and 21 *in person* at New York University’s C2SMART Center\, and will include one off-site facility tour. \nThe agenda includes: \n\nLeadership sessions\, where emerging leaders will collaborate on long-term leadership goals and developing innovative projects and ideas within an organization\nA behind-the-scenes visit to a major transportation facility for hands-on learning about industry goals and challenges\nA networking reception with Emerging Leaders alumni\n\nDiscussion topics will include: leadership\, innovation\, communications\, building support for innovation\, and practical applications. Sessions will include talks from and with esteemed professionals and group discussions and exercises. Participants will develop plans to introduce innovative solutions or concepts within their workplaces. \nView 2019’s Emerging Leaders here\, and a program recap here.
URL:https://c2smart.engineering.nyu.edu/event/emerging-leaders-in-transportation/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
ORGANIZER;CN="Rudin Center for Transportation Policy and Management":MAILTO:rudin.center@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20221015
DTEND;VALUE=DATE:20221024
DTSTAMP:20260406T071439
CREATED:20220910T021710Z
LAST-MODIFIED:20220928T193427Z
UID:77455-1665792000-1666569599@c2smart.engineering.nyu.edu
SUMMARY:NYCDOT Smart Routing Hackathon
DESCRIPTION:Currently in NYC\, truckers and trucking companies are reliant on a static map to know where they should and should not go. When events like construction or a road accident require rerouting\, truck drivers are at a loss because existing navigation tools do not include truck route priorities\, elevation restrictions\, or turn restrictions\, truck tolls\, or other details specific to their needs. From Saturday\, October 15 through Sunday\, October 23\, C2SMART\, in partnership with NYCDOT\, will host a Hackathon to invite students to design a 3D visualizer which helps drivers understand where they are in their route\, and helps them navigate the complexities of the city. \nThe event is open to all graduate and undergraduate students in New York City. Folks in New York City are welcome to attend Opening Ceremonies in person through our partnership with Transportation Camp; all participants are welcome to participate virtually during the work period. Final submissions will be presented at 3:00pm on October 23\, followed by an hour of networking opportunities for students\, industry professionals\, and agencies. \nPrizes will be awarded to the top three submissions\, and the winner’s design may be adopted by NYCDOT — allowing the winner to directly impact transportation in New York City. \nRegister for TransportationCamp here. \nRegister for the closing ceremony Zoom here.
URL:https://c2smart.engineering.nyu.edu/event/nycdot-smart-routing-hackathon/
LOCATION:CUNY School of Law\, 2 Ct Square W\, Queens\, NY\, 11101\, United States
CATEGORIES:Big Data & Planning for Smart Cities,Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221012T170000
DTEND;TZID=America/New_York:20221012T180000
DTSTAMP:20260406T071439
CREATED:20220929T193114Z
LAST-MODIFIED:20221005T135127Z
UID:77904-1665594000-1665597600@c2smart.engineering.nyu.edu
SUMMARY:Where are they now? A catch-up with recent transportation engineering graduates as they start their new careers in industry\, government\, and academia
DESCRIPTION:From preparing for the final stretch of your degree to choosing your next steps after graduating\, navigating the job market and charting your career path can feel overwhelming. Join C2SMART alumni Diego Correa\, Di Yang\, and Srushti Rath\, as they talk about their journey in engineering and transportation and will answer questions from students about life after matriculation. \nSpeakers \nDr. Di Yang is a tenure track Assistant Professor in the Department of Transportation & Urban Infrastructure Studies at Morgan State University. His research focuses on developing novel statistical and data-driven methods at the intersection of transportation safety\, connected and autonomous vehicles\, human factors\, policy analysis\, and shared mobility. His research contributions have led to 27 publications in various journals and conferences\, featuring 11 first-author papers\, and recognized by the Institute of Transportation Engineers (ITE) Northeastern District Daniel B. Fambro Student Paper Award in 2021. He graduated with a Ph.D. in Transportation Engineering from New York University in 2022. \nDr. Srushti Rath is a research scientist at Amazon (in Amazon Transportation Services). She graduated from NYU Tandon School of Engineering in summer 2022 with a Ph.D. degree in Transportation Planning and Engineering. Her research was focused on developing data-driven decision support tools for large-scale strategic deployment of emerging mobility services. During her graduate studies at NYU\, she interned at Amazon working on freight recommender systems and at Uber Elevate focusing on air taxi infrastructure location optimization. Prior to joining NYU for her MS studies in 2018\, she worked as an assistant executive engineer in the housing and urban development department\, Government of Odisha (India)\, contributing toward the India’s flagship smart city program. She is the recipient of the S. David Ali Memorial scholarship awarded by the Women’s Transportation Seminar (WTS) Greater NY chapter for the year 2020. Her interest lies in leveraging operations research\, machine-learning\, and supply- demand modeling for designing sustainable\, data-driven\, and intelligent transportation solutions. \nDr. Diego Correa is an Associate Professor in the Department of Science and Technology at the University of Azuay\, and the General Director of Mobility of the City of Cuenca-Ecuador. His research focuses on emerging mobility services\, travel demand modeling\, and how big data\, technology\, and machine learning can address urban problems. Diego’s innovative approach to transport has been recognized by the Institute of Transportation Engineers ITE as the Dr. Louis J. Pignataro Memorial Transportation Education Awardee 2017\, by the Intelligent Transportation Society of America ITS-NJ as the Outstanding Graduate Student Awardee 2016\, by the National Operations Center of Excellence NOCoE\, as the TSMO Student Champion 2018\, by the Rudin Center for Transportation Policy and Management at NYU\, as an Emerging Leader in Transportation in 2018\, and lastly\, as part of the 2019 class of NYU’s Urban Doctoral Fellows.
URL:https://c2smart.engineering.nyu.edu/event/where-are-they-now-a-catch-up-with-recent-transportation-engineering-graduates-as-they-start-their-new-careers-in-industry-government-and-academia/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events,Virtual Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221007T130000
DTEND;TZID=America/New_York:20221007T140000
DTSTAMP:20260406T071439
CREATED:20220929T192445Z
LAST-MODIFIED:20220929T192445Z
UID:77900-1665147600-1665151200@c2smart.engineering.nyu.edu
SUMMARY:Improving Safety Through Connected Vehicle Technology – NYC Connected Vehicle Pilot System Performance
DESCRIPTION:In this event series\, C2SMART leverages its consortium of researchers and experts to share a vision of the future of mobility and transportation systems. They’ll share advances\, opportunities\, predictions\, research bottlenecks\, and what perspectives and skills are needed from researchers and the workforce of tomorrow towards tackling one area of today’s most pressing problems. \nSponsored by the U.S. Department of Transportation (USDOT)\, the Connected Vehicle Pilot Deployment (CVPD) Program which piloted the technology in three sites\, New York City (NYC)\, Wyoming\, and Tampa\, is a national effort to deploy\, test\, and operationalize cutting-edge in-vehicle\, mobile and roadside technologies and enable multiple connected vehicle (CV) safety and mobility applications. According to the National Highway Transportation Safety Administration (NHTSA)\, speeding was a factor in more than one in four deaths and human factors were the critical cause in about 94% of all crashes. The NYC CVPD has undertaken connected vehicle technology as another tool that could be used to help further the city’s Vision Zero goals. The experimental design included equipping 3\,000 vehicles with Aftermarket Safety Devices (ASD) for vehicle-to-vehicle (V2V)\, vehicle-to-infrastructure (V2I)\, and pedestrian applications. This seminar will present the data cleaning\, evaluation methodology\, performance measurement\, and safety evaluation results of the 12 CV safety applications that was conducted during the Phase 3 operational phase of the deployment. \nSpeaker \nDr. Di Yang is a tenure track Assistant Professor in the Department of Transportation & Urban Infrastructure Studies at Morgan State University. His research focuses on developing novel statistical and data-driven methods at the intersection of transportation safety\, connected and autonomous vehicles\, human factors\, policy analysis\, and shared mobility. His research contributions have led to 27 publications in various journals and conferences\, featuring 11 first-author papers\, and recognized by the Institute of Transportation Engineers (ITE) Northeastern District Daniel B. Fambro Student Paper Award in 2021.
URL:https://c2smart.engineering.nyu.edu/event/improving-safety-through-connected-vehicle-technology-nyc-connected-vehicle-pilot-system-performance/
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:20221006T170000
DTEND;TZID=America/New_York:20221006T190000
DTSTAMP:20260406T071439
CREATED:20220922T183131Z
LAST-MODIFIED:20221005T135744Z
UID:77832-1665075600-1665082800@c2smart.engineering.nyu.edu
SUMMARY:Verizon Panel Discussion and Networking Event
DESCRIPTION:Register now to meet Verizon’s technology leaders and learn about career opportunities and more\, including: \n\nThe exciting 5G technologies that Verizon’s currently working on\nHow the company stays at the forefront of innovation\nStaff career journeys for NYU alums\nWhy engineering students should consider Verizon as the premiere tech company to start their engineering careers\n\nThe panel discussion will be followed by the chance to talk to and network with Verizon’s Talent Acquisition Team. \nRegister to attend.
URL:https://c2smart.engineering.nyu.edu/event/verizon-panel-discussion-and-networking-event/
LOCATION:
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END:VCALENDAR