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X-ORIGINAL-URL:https://c2smart.engineering.nyu.edu
X-WR-CALDESC:Events for C2SMART Home
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DTSTART;TZID=America/New_York:20230901T130000
DTEND;TZID=America/New_York:20230901T140000
DTSTAMP:20260501T224348
CREATED:20230829T190602Z
LAST-MODIFIED:20230829T190602Z
UID:80497-1693573200-1693576800@c2smart.engineering.nyu.edu
SUMMARY:Highlights of Lane-Free Automated Vehicle Traffic with Nudging
DESCRIPTION:A novel paradigm (named TrafficFluid) for vehicular traffic in the era of connected and automated vehicles (CAVs) was recently proposed\, which is based on two combined principles. The first principle is lane-free traffic\, which renders the driving task for CAVs smoother and safer\, as risky lane-changing manoeuvres become obsolete; increases the capacity of the roadway due to increased road occupancy; and mitigates congestion-triggering vehicle\nmanoeuvres. Also\, lane-free CAV traffic implies that incremental road widening (narrowing) leads to corresponding incremental increase (decrease) of capacity\, and this opens the way for real-time internal boundary control on highways and arterials to flexibly share the total (both directions) road width and capacity among the two traffic directions in dependence of the bi-directional traffic conditions\, so as to maximize the total system efficiency. The second principle is vehicle nudging\, whereby vehicles may be influencing other vehicles in front of them; this allows for traffic flow to be freed from the anisotropy restriction\, which stems from the fact that human driving is influenced only by downstream vehicles. Nudging leads to improved traffic flow capacity and stability. \nAfter presenting the TrafficFluid motivation and general features\, some highlights of related work will be outlined\, such as: Nonlinear feedback control of CAV in lane-free traffic with nudging; Optimal path planning for individual vehicles and vehicle groups; Emerging macroscopic traffic flow modeling; Internal boundary control; Driving on large-scale lane-free roundabouts (Place Charles de Gaulle in Paris). See www.trafficfluid.tuc.gr
URL:https://c2smart.engineering.nyu.edu/event/highlights-of-lane-free-automated-vehicle-traffic-with-nudging/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230907T120000
DTEND;TZID=America/New_York:20230907T130000
DTSTAMP:20260501T224348
CREATED:20230810T200745Z
LAST-MODIFIED:20250514T173423Z
UID:79990-1694088000-1694091600@c2smart.engineering.nyu.edu
SUMMARY:NY Statewide Behavioral Impact Decision Support Tool with Replica
DESCRIPTION:One of the enduring challenges in statewide transportation planning is that consistent population travel data remains scarce. This is changing with the availability of large-scale ICT data. A one-year project was initiated to develop a behavioral impact decision support tool based on NY statewide synthetic population data provided by Replica Inc. First\, a NY statewide model choice model is developed to deterministically fit heterogeneous coefficients for trips along each census block-group OD pair\, called group-level agent-based mixed (GLAM) logit. Considerations were made for four population segments\, six trip modes\, and twelve attributes. Second\, a decision support tool for statewide mobility service region design was proposed. The tool is based on an assortment optimization problem with agent-specific coefficients and linear constraints\, which can be efficiently solved through linear or quadratic programming (depending on variant). The decision support tool is applied to optimize service regions with one of the three objectives: (1) maximizing the total revenue; (2) maximizing the total change of consumer surplus; (3) minimizing the disparity between communities. \nPresented by Xiyuan Ren; PHD Candidate\, NYU; Joseph Chow\, Associate Professor\, NYU
URL:https://c2smart.engineering.nyu.edu/event/ny-statewide-behavioral-equity-impact-decision-support-tool-with-replica/
CATEGORIES:Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230914T143000
DTEND;TZID=America/New_York:20230914T153000
DTSTAMP:20260501T224348
CREATED:20230912T185833Z
LAST-MODIFIED:20230912T185833Z
UID:80569-1694701800-1694705400@c2smart.engineering.nyu.edu
SUMMARY:ECE Seminar: Boundary Stabilization of Polynomial Reaction Diffusion Equations
DESCRIPTION:We show how to stabilize a polynomial reaction diffusion system using boundary control\, integration by parts\, completing the square and an infinite dimensional extension of Al’brekht’s method. \nPresented by Alfred J. Krener.
URL:https://c2smart.engineering.nyu.edu/event/ece-seminar-boundary-stabilization-of-polynomial-reaction-diffusion-equations/
LOCATION:370 Jay Street\, Room 1013\, 370 Jay Street\, Brooklyn
CATEGORIES:Student Events
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230914T170000
DTEND;TZID=America/New_York:20230914T180000
DTSTAMP:20260501T224348
CREATED:20230830T201528Z
LAST-MODIFIED:20230830T201528Z
UID:80522-1694710800-1694714400@c2smart.engineering.nyu.edu
SUMMARY:Transportation & Urban Systems Fall 2023 Welcome Event
DESCRIPTION:C2SMARTER welcomes new and returning transportation students to the Fall 2023 academic year with a kick-off event. Learn about C2SMARTER\, meet the faculty\, and see the space. Come learn more about: \n\nMonthly research presentations taught by consortium members and industry partners\nPotential research opportunities\nTransportation courses offered this semester:\n\nForecasting Urban Travel Demand \nTraffic Operations & Control \nManagement of Transit Maintenance and Operations\nUrban Transportation & Logistics Systems\n\n\n\n 
URL:https://c2smart.engineering.nyu.edu/event/transportation-urban-systems-fall-2023-welcome-event/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230919T180000
DTEND;TZID=America/New_York:20230919T190000
DTSTAMP:20260501T224348
CREATED:20230915T184050Z
LAST-MODIFIED:20230918T160501Z
UID:80637-1695146400-1695150000@c2smart.engineering.nyu.edu
SUMMARY:Civil Engineering Clubs Welcome Party
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/asce-event/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230920T150000
DTEND;TZID=America/New_York:20230920T160000
DTSTAMP:20260501T224348
CREATED:20230915T170307Z
LAST-MODIFIED:20230915T183831Z
UID:80632-1695222000-1695225600@c2smart.engineering.nyu.edu
SUMMARY:Seminar: Applications of data analytics in Smart Cities: Spatio-temporal crime prediction; and Epidemic forecasting based on mobility patterns
DESCRIPTION:The steadily increasing urbanization is causing significant economic and social transformations in urban areas\, posing several challenges and raising new issues in city development\, public policy\, and resource management. However\, leveraged by a pervasive and large-scale diffusion of sensing networks in modern cities\, huge volumes of geo-referenced urban data are collected every day. Such ever-increasing volumes of urban-related data offers the opportunity to apply data analytics methodologies to discover useful descriptive and predictive models\, which can support city managers in tackling the major issues that cities face\, including\, e.g.\, urban mobility\, air pollution\, virus diffusion\, traffic flows\, crime forecasts\, etc. \nThis talk introduces how data analysis and machine learning techniques can be exploited to design and develop data-driven models as valuable support to inspire and implement smart city applications and services. Then\, it presents two real-case studies showing how data analysis methodologies can provide innovative solutions to deal with smart city issues. The first one is an approach for spatio-temporal crime forecasting\, based on multi-density clustering and auto-regressive models\, to automatically detect crime hotspots in urban areas and to reliably forecast crime trends in each hotspot. The experimental evaluation has been performed on Chicago crime data\, showing good accuracy in spatial and temporal crime forecasting over rolling time horizons. \nThe second one is an approach to discover predictive epidemic models from mobility and infection data. In particular\, the algorithm first discovers mobility hotspots and patterns. Then\, it detects how urban mobility affects the diffusion of epidemic hotspots\, by extracting a regression model for each hotspot. The experimental evaluation has been performed on mobility and COVID-19 data collected in the city of Chicago\, to assess the effectiveness of the approach in a real-world scenario. \nPresented by Eugenio Cesario\, Associate Professor\, University of Calabria \nEugenio Cesario is an Associate Professor of Computer Engineering at University of Calabria (Italy). His research interests fall in the broad areas of Data Analytics and Parallel/Distributed Data Mining\, and include Urban Computing\, Smart Cities\, Crime Data Mining\, Energy-aware Cloud Computing\, Cloud\Grid services architectures\, Knowledge Discovery applications. He is a member of the Scientific Board of the Ph.D. in ICT of the University of Calabria. He is also member of the Scalable Computing and Cloud Laboratory (DIMES-UNICAL) and co-founder of DtoK Lab s.r.l.\, a spin-off of University of Calabria.
URL:https://c2smart.engineering.nyu.edu/event/seminar-applications-of-data-analytics-in-smart-cities-spatio-temporal-crime-prediction-and-epidemic-forecasting-based-on-mobility-patterns/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T090000
DTEND;TZID=America/New_York:20230922T100000
DTSTAMP:20260501T224348
CREATED:20230825T160841Z
LAST-MODIFIED:20230825T161157Z
UID:80387-1695373200-1695376800@c2smart.engineering.nyu.edu
SUMMARY:Oliver Wyman Forum\, NYC Climate Week
DESCRIPTION:C2SMARTER Director Dr. Kaan Ozbay will be serving as a panelist at the Oliver Wyman Forum during NYC Climate Week. \nAbout the Oliver Wyman foundation: \nThe Oliver Wyman Forum is Oliver Wyman’s global think tank developing solutions for public and private leaders on social issues\, climate change\, and sustainability. Our mobility program has been working for the past ten months on developing a model-based solution to support cities comply with the 1.5oC global warming target by 2030. Our model allows us to project to what extent cities should promote modal shares\, mobility uses\, or powertrains taking into consideration a set of realistic constraints like city-individual energy sourcing\, socio-economic factors and infrastructure maturity. We have worked on an initial set of 12 cities globally (including New York) to project an individual\, quantified path towards sustainable mobility.
URL:https://c2smart.engineering.nyu.edu/event/oliver-wyman-forum-nyc-climate-week/
LOCATION:1166 Avenue of the Americas\, NYC\, NY
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T093000
DTEND;TZID=America/New_York:20230922T110000
DTSTAMP:20260501T224348
CREATED:20230912T190235Z
LAST-MODIFIED:20230912T190235Z
UID:80573-1695375000-1695380400@c2smart.engineering.nyu.edu
SUMMARY:Reconnecting Communities: Creating More Equitable Outcomes in Transportation Projects
DESCRIPTION:Presented by the NYU Rudin Center for Transportation and AECOMThe Infrastructure Investment and Jobs Act (IIJA) represents an unprecedented investment in our country’s transportation system. As part of this investment\, the Biden Administration is seeking not only to build more roads and bridges\, but to address the harmful impacts of past transportation projects\, which have disproportionately fallen on low income communities and communities of color. For neighborhoods around the country that remain divided or isolated by transportation infrastructure\, this investment is a once-in-a-generation opportunity for reconnection. This panel discussion\, co-hosted by AECOM\, will address: How might we best reconnect communities? What does reconnection involve\, and how can we ensure future projects mitigate any further disruption and displacement? Join us for a discussion of ongoing developments and how agencies and stakeholders can best seize this opportunity to create more equitable outcomes. Panelists: Ritchie Torres\, United States Representative (NY-15) Meera Joshi\, New York City Deputy Mayor for Operations Tom Prendergast\, Executive Vice President & New York Metro Chief Executive\, AECOM Moderator: Sarah Kaufman\, Director\, NYU Rudin Center for Transportation.
URL:https://c2smart.engineering.nyu.edu/event/reconnecting-communities-creating-more-equitable-outcomes-in-transportation-projects/
LOCATION:NYU Wagner\, 295 Lafayette Street
CATEGORIES:Equity & Accessibility
ORGANIZER;CN="Rudin Center for Transportation Policy and Management":MAILTO:rudin.center@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T113000
DTEND;TZID=America/New_York:20230922T123000
DTSTAMP:20260501T224348
CREATED:20230912T184858Z
LAST-MODIFIED:20230912T185245Z
UID:80560-1695382200-1695385800@c2smart.engineering.nyu.edu
SUMMARY:Reducing US Transit Costs: An Empirical Review and Comparative Case Study of Portland\, Manchester Rail Systems
DESCRIPTION:Presented by Chetan Sharma and Prof. Joseph Chow
URL:https://c2smart.engineering.nyu.edu/event/reducing-us-transit-costs-an-empirical-review-and-comparative-case-study-of-portland-manchester-rail-systems/
CATEGORIES:Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230928T120000
DTEND;TZID=America/New_York:20230928T130000
DTSTAMP:20260501T224348
CREATED:20230912T185155Z
LAST-MODIFIED:20230912T192021Z
UID:80564-1695902400-1695906000@c2smart.engineering.nyu.edu
SUMMARY:Developing a Framework to Optimize Floodnet Sensor Deployments Around NYC for Equitable and Impact-Based Hyper-Local Street-Level Flood Monitoring and Data Collection
DESCRIPTION:Urban floods can lead to significant damages\, and accurately measuring flood extents and depths is vital for effective management. Traditional flood measurement methods can be costly and may not provide detailed mapping. Recent advancements in affordable flood-monitoring sensors offer real-time measurements\, but there’s a challenge in prioritizing where to place them\, especially when considering equity and the needs of various stakeholders. This research introduced a framework that uses expert input to determine potential uses for these sensors and metrics to decide where to deploy them. The method was tested in New York City and was found to be more effective than basic prioritization methods\, ensuring stakeholder needs and equity concerns were met. This framework can help local governments prioritize sensor locations for better flood management\, promoting resilient and equitable cities. Future studies can adapt and test this approach in different urban settings. \nPresented by NYU’s Riccardo Negri and Prof. Luis Ceferino
URL:https://c2smart.engineering.nyu.edu/event/developing-a-framework-to-optimize-floodnet-sensor-deployments-around-nyc-for-equitable-and-impact-based-hyper-local-street-level-flood-monitoring-and-data-collection/
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