Imagine a daily journey that is organized rather than chaotic. Connected and automated vehicles could provide this relief by adapting to the driving conditions without the driver having to say too much or nothing at all. If the car in front of you gets faster, your car accelerates, and if the car in front of you stops, your car will stop as well.
At the University of Delaware, Andreas Malikopoulos develops the control theory algorithms that enable this technology of the future. In two recent articles, Malikopoulos, recently named Terri Connor Kelly and John Kelly Career Development Professor of Mechanical Engineering, describes innovations in connected and automated vehicle technology that pioneered two of the university's laboratories, the UD Scaled Smart City (UDSSC) , Test and Driving Simulator System
"We are developing solutions that will enable the future of energy-efficient mobility systems," said Malikopoulos. "We hope that our technologies will help people get to their destination faster and safer while saving fuel."
Make traffic lights obsolete
One day, cars might be talking traffic patterns. Malikopoulos and Boston University staff have recently developed a solution to control and minimize energy use in networked and automated vehicles crossing an urban intersection without traffic signals. They then used software to simulate their results and found that their framework enabled connected and automated vehicles to save momentum and fuel while improving travel time. The results were published in the journal Automatica
Save fuel and avoid speeding
Imagine that your car automatically slows down when the top speed increases from 65 to 45 mph. Malikopoulos and staff at the University of Virginia formulated a solution that allows for optimal acceleration and deceleration in a speed reduction zone to avoid rear-end collisions. Simulations also indicate that connected vehicles consume 1
Malikopoulos received financial support for this work from two US Department of Energy programs – the Smart Mobility Initiative and the Advanced Research Projects Agency – the Energy NEXTCAR Program. 19659003] Malikopoulos is the principal investigator of a three-year project funded by the Advanced Research Projects Agency for Energy (ARPA-E) on its NEXT-Generation Power Technologies for Networked and Automated Road Vehicles (NEXTCAR) to improve the efficiency of an Audi A3 e tron by at least 20 percent. The partners of this project are the University of Michigan, Boston University, the Bosch Corporation and the Oak Ridge National Laboratory.
University of Delaware . .