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Building a Decision Support Tool for Optimal & Equitable Distribution of EV Charging Stations in NYC

Virtual 6 MetroTech Center, Brooklyn, NY, United States

Researchers led by Professor Yury Dvorkin, NYU Tandon, and Professor Burçin Ünel, Energy Policy Director at the Institute for Policy Integrity at NYU School of Law, will update on their research so far, seeking input from primary stakeholders to understand the technological gaps that prevents widespread expansion of EV charging infrastructure and to encourage their continued participation in this research to drive practically feasible and ethical research outcomes.

Forensic Analysis of Vehicular Malfunctions Using On-Board Data

370 Jay Street, Room 825 370 Jay Street, Room 1201, New York City, NY, United States

This event explores forensic analysis and recording of vehicle dynamic performance tests and investigations. To accomplish these tests and investigations, researchers developed forensically accurate and reliable test monitoring and recording instruments. Because the tests were usually sequential and interactive between the vehicle operator and the particular exemplar vehicle, those instruments have to allow for real time graphical readouts and displays of parameters from both vehicle data networks and from instrumentation data networks.

Context Driven Analytics and AI for Infrastructure and Facility Management

C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn
Hybrid Hybrid Event

Engineers and managers involved in facility/infrastructure operations need situational awareness and accurate assessment of as-is conditions when making daily decisions and developing short- and long-term plans. Currently, however, the situational

Ramp metering: Control Strategies and New Insights

Virtual Event Virtual Event

Dynamic flow networks are a class of useful models for a variety of engineering systems including transportation systems, production lines and communication networks. This session will introduce its basic concepts, mathematical modeling and control strategies. The application will be illustrated with ramp metering, a typical strategy for freeway management.

NYCDOT Smart Routing Hackathon

CUNY School of Law 2 Ct Square W, Queens, NY, United States
Virtual Event Hybrid Event

Traffic accidents are among the leading causes of death for people aged 5–35 worldwide, causing transport externalities and thus unsustainability. At the same time, the introduction of almost fully connected and automated vehicles (CAVs) (levels 3–4 of SAE) is already a reality. Although CAVs go in the direction of smart mobility, their sustainability is still questionable because their deployment in open traffic introduces unexplored risks. The seminar will present how virtual reality and simulation are being used as a tool to replace naturalistic observations in the real-world and their pros and cons, in three different research projects on CAVs safety among which is a European Research Council Grant.

Optimal dispatching of electric vehicles for providing charging on- demand service leveraging charging-on-the-move technology

Virtual Event Virtual Event

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 + .

Learning from big and small data for transportation planning and resilience analysis

C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn
Virtual Event Hybrid Event

COVID 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.

Deep Neural Networks for Choice Analysis

C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn
Virtual Event Hybrid Event

This presentation introduces a deep choice framework that synergizes DNNs and DCMs to model individual travel decision.

Summer Webinar Series

Virtual Event Virtual Event

Presented by the Transportation Research Board (TRB) subcommittee AEP30(2) Route Choice and Spatio-Temporal Behavior Speaker: Professor Marcela A. Munizaga, Universidad de Chile.