From increased pollution to increased stress, traffic congestion can be
the bane of urban existence. Researchers in the School of Engineering
are working on ways to better manage traffic without building more
roads.
Professor Charles Standridge and Assistant Professor Shabbir Choudhuri
have been awarded funding from the Michigan-Ohio University
Transportation Center for work on relieving urban congestion through
near-real time route selection. This work involves the development of
computer models as well as the analysis of data collected continuously
by the intelligent transportation system in the Detroit area.
“When we don’t have the money or the space to build more highways, we
have to figure out how to use what we have better,” Standridge said.
Standridge and Choudhuri are working with engineering students to
analyze data collected from road sensors to develop algorithms to help
deal with congestion. Using those algorithms, drivers will someday be
directed to different alternate routes as roads become congested.
“We’ll be able to use some of these algorithms to develop ways to update
display signs to show alternative routes to help you get around the
congestion,” Standridge said. “Now, we have signs that tell you there’s
an accident, but they don’t tell you what to do.”
Using Grand Rapids as an example, if there’s a crash on Fuller Street,
drivers may be redirected to Leonard. Once Leonard becomes congested,
drivers may then be redirected to Michigan.
The Michigan-Ohio University Transportation Center was formed in 2006
when the U.S. Department of Transportation awarded $2 million its
creation. The center combines the resources of Grand Valley State
University, Wayne State University, University of Toledo, and Bowling
Green State University, and lead partner University of Detroit-Mercy to
address transportation issues critical to the area. The center receives
funding from the Federal Highway Administration and the Michigan
Department of Transportation.
Researchers Fight Road Gridlock
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