Professor Ozbay awarded U.S. DOE ARPA-E Grant
The UMD research team (Professor Ozbay) Wins $4.5 Million U.S. DOE ARPA-E Grant
The University of Maryland was awarded a competitive grant from the U.S. Department of Energy's (DOE) Advanced Research Projects Agency - Energy (ARPA-E) to develop technology to deliver personalized, real-time travel information to users and incentivize energy-efficient travel. The funding includes $3.78 million from DOE and $700,000 in cash cost-sharing from various public and private sector partners. The interdisciplinary UMD research team, led by National Transportation Center at Maryland (NTC@Maryland) will use the funding to develop what is known as an Integrated, Personalized, Real-time Traveler Information and Incentive (iPretii) technology. Dr. Erkut Ozbay (Associate Professor of Economics and Director of Experimental Economics Lab at the University of Maryland) will conduct lab and field experiments to study the impact of different incentives on altering routes, departure times, and driving styles, or take mass transit or ride-sharing service.
"Traffic congestion carries both tangible and hidden costs for our region and the nation, including travel delay, energy use increase, and adverse environmental and economic impacts," said UMD Department of Civil and Environmental Engineering Professor and Chair, Dr. Charles W. Schwartz. "I am very proud that the technology put forth by UMD researchers and their partners will provide a real solution to traffic congestion and pave the way for novel energy sustainability initiatives."
iPretii will use traveler behavior data to stimulate the effects of traveler choices on energy use in the Washington-Baltimore area. UMD researchers will conduct behavioral studies to predict travelers' responses and identify incentives to encourage drivers to alter routes, departure times, and driving styles, or take mass transit or ride-sharing services.
The technology contains a System Model that simulates travel behavior and traffic dynamic in real time, and a Control Architecture that designs and delivers personalized information and incentives to users so their collective behavior adjustments will result in significant system level benefits. Incentives will include both monetary and non-monetary awards, such as competitions and recognition given across social media channels. "With the help of the controlled lab experiments, we can investigate the impact of different incentives on changing and sustaining the desired behavior," said Dr. Erkut Ozbay (Associate Professor of Economics and Director of Experimental Economics Lab at the University of Maryland).
Each year, more than 25 percent of energy consumed in the United States is used for transportation purposes. Recognizing this, NTC@Maryland conducts extensive research on the effectiveness of both active traffic management systems - such as high occupancy vehicle lanes, freeway ramp metering, and dynamic lane control - and demand management strategies - including ride sharing, dynamic transit service, telecommuting, and pricing.
"Even modest energy savings at the individual level, when extrapolated to the billions of daily trips in the United States, can significantly reduce energy use," Zhang said. "The key is to design effective and personalized incentives to encourage individuals to start taking these small, positive steps. If the technology we are developing reaches full market penetration, it could potentially reduce all-sector energy use in the United States by up to 8 percent."
The project team will develop iPretii within two years to quantify possible energy savings in the Baltimore-Washington region in a simulated environment. In that time, NTC@Maryland and its partners will also conduct field tests using instrumented vehicles to demonstrate iPretii readiness for real-world implementation.
NTC@Maryland, has received more than $14 million in federal funding through open competition since its launch in October 2013. The center received the ARPA-E grant through the Traveler Response Architecture using Novel Signaling for Network Efficiency in Transportation (TRANSNET) program, established to develop new network control architectures, coupled with incentive strategies, to encourage individuals to travel in more energy-efficient ways.