Connected Cities for Smart Mobility toward Accessible and Resilient Transportation
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
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
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
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,
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.
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)
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
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.
The ITE Met Section is hosting a Virtual Career Fair event on Wednesday, March 30th at 12pm to 2pm. There will be a dozen tables open for speed networking, plus 10+ companies and organizations.
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.
As a follow-up learning of the previous learning hub course, “How to Build a Toy Computer Vision (CV) Model,” this course will introduce relatively more advanced object detection and tracking
In the State-of-the-Field 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,