The path of least emissions may not always be the fastest way to drive somewhere. But according to new research from the University at Buffalo, it's possible for drivers to cut their tailpipe emissions without significantly slowing travel time.
In detailed, computer simulations of traffic in Upstate New York's Buffalo Niagara region, UB researchers Adel Sadek and Liya Guo found that green routing could reduce overall emissions of carbon monoxide by 27 percent for area drivers, while increasing the length of trips by an average of just 11 percent.
In many cases, simple changes yielded great gains.
Funneling cars along surface streets instead of freeways helped to limit fuel consumption, for instance. Intelligently targeting travelers was another strategy that worked: Rerouting just one fifth of drivers -- those who would benefit most from a new path -- reduced regional emissions by about 20 percent.
Sadek, a transportation systems expert, says one reason green routing is appealing is because it's a strategy that consumers and transportation agencies could start using today.
"We're not talking about replacing all vehicles with hybrid cars or transforming to a hydrogen-fuel economy -- that would take time to implement," said Sadek, an associate professor of civil, structural and environmental engineering. "But this idea, green routing, we could implement it now."
In the near future, GPS navigation systems and online maps could play an important role in promoting green routing, Sadek said. Specifically, these systems and programs could use transportation research to give drivers the option to choose an environmentally friendly route instead of the shortest route.
Sadek and Guo, a PhD candidate, presented their research on green routing at the 18th World Congress on Intelligent Transportation Systems in October.
In the UB study on green routing, the researchers tied together two computer models commonly known as "MOVES" and "TRANSIMS."
The Motor Vehicle Emission Simulator (MOVES), created by the Environmental Protection Agency, estimates emissions. The Transportation Analysis and Simulation System (TRANSIMS) simulates traffic in great detail, taking into account information including the location and pattern of signals; the grade of the road; and the trips people take at different times of day.
After incorporating Buffalo-specific data into TRANSIMS, Sadek and Guo ran a number of simulations, rerouting travelers in new ways each time.
After running the models numerous times, the researchers reached a "green-user equilibrium" -- a traffic pattern where all drivers are traveling along optimal routes. With the system in equilibrium, moving a commuter from one path to another would increase a user's overall emissions by creating more congestion or sparking another problem.
The simulations were part of a broader study Sadek is conducting on evaluating the likely environmental benefits of green routing in the region. His project is one of seven that the U.S. Department of Transportation has funded through a Broad Agency Announcement that aims to leverage intelligent transportation systems to reduce the environmental impact of transportation.
The University at Buffalo is a premier research-intensive public university, a flagship institution in the State University of New York system and its largest and most comprehensive campus. UB's more than 28,000 students pursue their academic interests through more than 300 undergraduate, graduate and professional degree programs. Founded in 1846, the University at Buffalo is a member of the Association of American Universities.
Sustainable Transportation is Focus of UB Professor's IBM Grant: http://www.buffalo.edu/news/12535
UB Transportation Project Could Help Region Manage Traffic During Bad Weather: http://www.buffalo.edu/news/12069
U.S. Department of Transportation Broad Agency Announcement on Intelligent Transportation Systems: http://www.its.dot.gov/aeris/baa_factsheet.htm
Charlotte Hsu | EurekAlert!
Further reports about: > Broad Institute > Buffalo > Emission > GPS data > Intelligente Stromzähler > TRANSIMS > Transportation > computer model > computer simulation > computer simulations of traffic > environmental impact of transportation > fuel consumption > hybrid car > hydrogen-fuel economy > intelligent transportation systems > navigation system > transportation agencies > transportation system
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