[ad_1]
Imagine an orderly, rather than chaotic, daily journey. Connected and automated vehicles could provide this relief by adapting to driving conditions with little or no driver intervention. When the car in front of you accelerates, your car accelerates and when the car in front of you stops, your car stops too.
At the University of Delaware, Andreas Malikopoulos uses control theory to develop algorithms that will enable this technology of the future. Malikopoulos, recently named Terri Connor Kelly and John Kelly Professor of Career Development, describes the innovations in connected and automated vehicle technology developed in two university labs, the University of New York. UD Scaled Smart City (UDSSC). test bench and driving simulator.
"We are developing solutions that could enable the future of energy-efficient mobility systems," Malikopoulos said. "We hope our technologies will help people reach their destinations faster and safer while saving gas at the same time."
Make traffic lights obsolete
One day, cars could talk to each other to coordinate traffic patterns. Malikopoulos and collaborators at Boston University have recently developed a solution to control and minimize energy consumption in connected and automated vehicles crossing an urban intersection devoid of traffic lights. They then used software to simulate their results and found that their infrastructure allowed connected and automated vehicles to maintain their speed and fuel while improving travel time. The results were published in the journal Automatica.
Save fuel and avoid speeding tickets
Imagine that when the speed limit goes from 65 to 45 mph, your car automatically slows down. Malikopoulos and his colleagues at the University of Virginia have formulated a solution for optimal acceleration and deceleration in a speed reduction zone, thus avoiding rear-end collisions. In addition, the simulations suggest that connected vehicles consume 19 to 22 percent less fuel and arrive at their destination 26 to 30 percent faster than human-powered vehicles. The results of this research effort were published in IEEE Transactions on Intelligent Transportation Systems.
Malikopoulos has received funding for this work from two programs of the US Department of Energy – the Smart Mobility Initiative and the Advanced Research Projects Agency – the NEXTCAR Energy Program.
Malikopoulos is the principal investigator of a three-year project funded by the Agency for Advanced Energy Research Projects (ARPA-E) as part of its NEXTCAR program (Energy Technologies). next-generation energy for connected and automated road vehicles) aimed at improving energy efficiency. Audi A3 e-tron of at least 20 percent. Partners in this project are the University of Michigan, Boston University, Bosch Corporation, and Oak Ridge National Laboratory.
Source:
University of Delaware. .
Source link
