University of Minnesota researchers have received a $1.2 million Cyber-Physical Systems (CPS) grant from the National Science Foundation to explore congestion management as part of “Smart Cities.”
The project, titled “Dynamic Methods of Traffic Control that Impact Quality of Life in Smart Cities,” is led by CTS Scholar Nikolaos Papanikolopoulos, a professor of computer science and engineering at the U of M. The team also includes CTS Scholars John Hourdos, Vassilios Morellas, and Ted Morris.
As part of the project, the research team plans to introduce a new hierarchical adaptive controls paradigm to urban network traffic control that will be able to adapt to the changing movement and interaction behaviors of vehicles, public transport modes, bicyclists, and pedestrians.
The paradigm will leverage several key ideas of cyber-physical systems (engineered systems that are built on the integration of computational algorithms and physical components) to rapidly and automatically pinpoint and respond to urban arterial congestion. The goal is to help improve travel time and reliability for all modes. It could also provide safety benefits—for example, the proposed system could deliver advanced warnings to drivers about congested areas, thereby allowing them to avoid these areas or to adapt their driving habits.
To learn more, visit the NSF grant award page.