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.

Innovative Research

Progress continues to be made on the Middlesex County-Mobility Living Laboratory (MC-MLL). Recently, some new partners announced their involvement in establishing the project. For example, Iteris announced that it had been selected by the Rutgers Center for Advanced Infrastructure and Transportation (CAIT) to support the design and implementation of the testing ground. Specifically, Iteris will provide its design and safety application expertise to design and implement an environment for smart mobility application testing to address several key challenges for local communities along key corridors, including congestion, safety, environmental, energy and community equity issues. Learn more here.

Another industry partner, Velodyne Lidar, has also been engaged on the project. Velodyne will use its latest lidar sensors to monitor traffic networks and public spaces, generating real-time data analytics and predictions to help improve traffic and crowd flow efficiency, advance sustainability and protect vulnerable road users. Learn more about their involvement here and stay tuned for updates on the project.

In the News

Dr. Sharon Di, an associate professor of civil engineering and engineering mechanics at Columbia University and a CAIT-affiliated researcher, led a study that developed highly accurate algorithms for detecting mild cognitive impairment and dementia in older drivers. Naturalistic driving data refer to data captured through in-vehicle recording devices or other technologies in the real-world setting. These data could be processed to measure driving exposure, space, and performance in great detail. The findings are published in the journal Geriatrics.

The findings were also reported on in Forbes, read more here.

Amid the recovery from COVID-19, New Jersey has the 7th highest unemployment rate in the country. CAIT-affiliated researcher and dean emeritus of the Edward J. Bloustein School of Planning and Public Policy at Rutgers, Dr. James W. Hughes, has been tracking NJ’s economic recovery from COVID-19 through his series of Fast Track Research Notes. He recently discussed how the pandemic and NJ’s economic recovery have contributed to the state’s unemployment rate.

Read what he said to here.

Seminars and Presentations

On Wednesday, May 19th, ITSNJ and the Institute of Transportation Engineers Met Section hosted part 2 of a webinar series on successful Connected and Automated Vehicle (CAV) initiatives that have been developing around the state. This included a presentation from CAIT researcher Dr. Peter Jin and partners from Middlesex County on the current planning, design, and instrumentation work being done as part of the MC-MLL. Dr. Jin also gave a similar presentation on June 1st to NJTPA as part of their Connected & Automated Vehicles: Planning for the Future symposium. He discussed the project as well as potential applications of CAV technology, infrastructure readiness for new technology, and more.