This proposal will develop machine-learning algorithms using real-time vehicle, pedestrian, and infrastructure data to improve our understanding of how people drive on highways and urban roads. These models will help monitor and support the transportation systems to accommodate both human-driven and automated vehicles.
This study will assess the performance of MERV 13 and MERV 8+Ag filters as a means to minimize the transmission of COVID-19 in the transit environment. The results will help agencies decide if it is worth the additional financial cost and any potential increased maintenance associated with upgrading their filters.
The primary goal of this proposal is to develop a pilot, proof-of-concept study in collaboration with the MTA to explore the use of Artificial Intelligence (AI) for analyzing infrastructure big data to predict track degradation and future condition.
Amid restrictions from the COVID-19 pandemic affecting the region, researchers at the Rutgers Center for Advanced Infrastructure and Transportation have still been able to conduct important work and take on new challenges in transportation—highlighted by recent media coverage and virtual events.
The NJ Transit Board of Directors recently approved an approximately $250 million contract with George Harms Construction for the initial construction phase of the Raritan River Bridge Replacement project. A study by CAIT-affiliated researchers helped to gauge the economic impact of the Raritan River Bridge project.
The 110-year-old Portal North Bridge carries approximately 450 trains and 200,000 passengers on an average day, and is in need of repair. CAIT helped to secure new funding from FRA that will allow NJ Transit and other stakeholders to advance these vital infrastructure projects.
New Jersey Governor Phil Murphy recently announced the formation of a statewide council of leaders from various industry, community, and faith-based groups and institutions across New Jersey to work together and advise on the state’s restart and recovery from the COVID-19 pandemic.
CAIT has been busy in recent months with projects ranging from building virtual reality modules for workforce training to using drones in innovative ways for highway interchange asset inspection. Check out the latest edition of Transportation Today, our print newsletter, for these stories and much more.
A recent paper from Rutgers CAIT validated the Paratransit Skills Assessment and found it can predict an individual's ability to use paratransit services with greater than 96% accuracy.
