Researchers at the Rutgers Center for Advanced Infrastructure and Transportation continue to conduct important work and take on new challenges in transportation during the ongoing COVID-19 Pandemic. Here are some of our recent highlights.
The Middlesex County - Mobility Living Laboratory is transforming 12 downtown city acres and the wider Middlesex County into a cutting-edge smart mobility testing ground, designed to create an "innovation economy" in the region that aligns with the state's goals.
Rutgers CAIT recently enhanced capability in large-scale structural-testing equipment that will enable full utilization of its existing laboratory infrastructure and expand its portfolio in transportation research by providing access to a capability that currently does not exist in any other university in NJ and the region.
This new research project will help to identify best practices to facilitate truck movements and minimize truck wait time at JFK International Airport for land-side cargo movements through a systems analysis of cargo movement and logistics.
A report from CAIT researcher Dr. Thomas Bennert, in collaboration with stakeholders from NJDOT, tests the performance of existing High Friction Surface Treatment installations at locations in New Jersey, as well as the viability of alternatives such as High Friction Chip Seal for areas showing signs of premature failure.
This course covers the examination of drainage problems, properties and effects of soil and subsurface water, and how to maintain, inspect, and install culverts among many other drainage issues.
This course is for municipal or county employees and those that work with them who are involved in the planning, inspecting and placing of asphalt pavements. The course will provide the information needed to properly plan and monitor a hot mix asphalt paving project.
The goal of this proposal is to develop and assess an innovative real-time proactive safety monitoring system based on the trajectory of road users (e.g., cars, pedestrians, and cyclists) collected by video cameras.
