Introduction to Cybersecurity and Its Application in Transportation
We will briefly discuss the history of security analysis of modern automobiles and the need for cybersecurity including typical threats and potential solutions.
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Get started with Blockchain: Distributed ledgers for real use cases, using Hyperledger Fabric
This session will give an overview on enterprise grade distributed ledgers, answering the questions on how they work, and when to use them.
Cooperative Perception of Smart Roadside Unit with Edge AI for Driving Assistance
Wei and Chenxi will discuss the development and impact of the smart roadside unit, along with a Mobile Unit for Traffic Sensing (MUST) employed for data analysis and for reliable, efficient communication with surrounding vehicles.
Performance Measurement from the New York City Connected Vehicle Pilot
Virtual 6 MetroTech Center, Brooklyn, NY, United StatesThe NYC CV Pilot has deployed over 450 roadside units and 3,000 aftermarket safety devices in vehicles running 13 vehicle-to-vehicle and vehicle-to-infrastructure applications focused on safety. The webinar will provide an overview of the performance evaluation of the deployed CV applications in NYC’s urban canyon environment. The webinar will also cover NYC’s plans for the next phase of the project after completion of the CV Pilot’s Phase III operations.
Context Driven Analytics and AI for Infrastructure and Facility Management
C2SMART Center Viz Lab 6 Metrotech Center, Room 460, Brooklyn
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
Improving Contraflow Left-Turn Lane Design at Signalized Intersections to Decrease Traffic
Virtual 6 MetroTech Center, Brooklyn, NY, United States
Virtual Event
Contraflow left-turn lanes (CLL) are designed for increasing left-turn capacity and have been increasingly implemented at signalized intersections. Professor Yi Qi will introduce this innovative intersection design and the signal
Proactive Road Safety Management Techniques
Virtual 6 MetroTech Center, Brooklyn, NY, United States
Virtual Event
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
State-of-the-Field: New Fiber Optic Structural Health Monitoring (SHM) Technologies and Recent Case Studies
Virtual Event
SMS provides specialized, fiber-optic structural health monitoring (SHM) systems for bridges and tunnels and world-wide has worked with many agencies and engineering firms. Terry Tamutus, Founder and CEO of SMS,
USDOT Artificial Intelligence Video Forum
Virtual Event
The U.S. Department of Transportation (USDOT) will be offering a preview of the latest innovative research in artificial intelligence (AI) in transportation from University Transportation Centers (UTCs) across the country. The webinar will feature the research of 11 UTCs, each of which has produced a short video showcasing their USDOT-funded AI research and its potential impact on society. Videos will address issues of national importance such as distracted driving, pedestrian safety, traffic mitigation, and much more. The video presentation segment is approximately one hour, with Q&A afterwards.
Hands-On Tutorials for Amazon Web Services (AWS)
Instructor: Yubin Shen, Research EngineerHands-on exercise: YesBeginner level: No prior experience required.Schedule: February 25, 2022 | 2:00 PM – 3:00 PM ET This course will go through the most popular Amazon Web Services (AWS)
Build Your First Interactive Data Dashboard Using Dash Plotly
Instructor: Murat Barlas, New York UniversityHands-on exercise: YesLevel: No prior experience required, but knowledge of Python is preferred.Schedule: March 4, 2022 | 2:00 PM – 3:00 PM ET This course is for students who
Lane Changing of Autonomous Vehicles in Mixed Traffic Environments: A Reinforcement Learning Approach
Virtual Event
The emergence of connected and autonomous vehicles (CAVs) presents increased opportunities to mitigate traffic congestion, improve safety and reduce accidents. Professor Zhong-Ping Jiang, and researchers Leilei Cui and Sayan Chakraborty are applying innovative reinforcement learning control methods to one challenging aspect of CAV control: lane changing in mixed traffic. The team takes a novel approach by reducing the trajectory planning and tracking problem down to the minimization of a cost function that depends on a target way-point in the lane a CAV is targeting.