University Transportation Center partners at Rowan University are creating an effective and specialized approach to the Last Mile Challenge for the City of Camden, NJ, to improve transportation accessibility, public health, education, and employment opportunities for city residents.
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.