CIP Projects - C2SMARTER Home

Design of Resilient Smart Highway Systems with Data-Driven Monitoring from Networked Cameras

September 30, 2021January 11, 2024Nick Hudanich

This project aims to develop a systematic way to design smart highway systems with networked video monitoring and control resiliency against environment disruptions and sensor failures. The research team will investigate deep learning methods for extracting fine-grained local categorical traffic information from surveillance videos and novel graph neural network methods to correlate and propagate the local information through the highway network for global states estimation, such as vehicle tracking and reidentification or traffic prediction in an unobserved area.

Evaluating the Effectiveness of Computer Vision Systems Mounted on Shared Electric Kick Scooters to Reduce Sidewalk Riding

September 29, 2021August 10, 2023Elena Chung

Overview Remote repositioning (RR) technology allows a scooter or similar lightweight, slow-moving vehicle to be controlled by a human driver from a remote location. RR can resolve many mis-parking problems

Development and Evaluation of Collaborative Ramp Metering Control for Congested Urban Freeways

September 29, 2021August 10, 2023Elena Chung

Collaborative driving results are available for vehicle-level controls and mostly focused on architecture and human-in-the-loop approaches. We aim at a macroscopic and network-level approach to exploit the potential impact of collaborative driving.

Integration and Operation of an Advanced Weigh-in-Motion (A-WIM) System for Autonomous Enforcement of Overweight Trucks

September 29, 2021August 10, 2023Elena Chung

Trucks have been an integral part of the freight movement network in distributing goods and services to various communities; however, a percentage of these trucks are often overloaded beyond legal load limits. A more practical and efficient OW enforcement scheme would be needed to discourage the trucking industry from overloading their fleets.

Quantifying and Visualizing City Truck Route Network Efficiency Using a Virtual Testbed

September 29, 2021August 10, 2023Elena Chung

Cities like NYC and Seattle need to deal with significant growth of urban deliveries as a result of increasing e-commerce compounded by increased stay-at-home behavior due to COVID-19. We propose to develop a citywide model of truck network flows, one that relates changes to truck routes to changes in truck tours or to time-of-day congestion pricing policies.

Energy Harvesting for Self-Powered Sensors for Smart Transportation Infrastructures

August 25, 2021August 10, 2023Molly

This research aims to develop an innovative approach for energy harvesting from transportation infrastructures and demonstrate the feasibility of the approach through laboratory testing and field demonstration.