Imagine a daily commute that is ordered instead of chaotic. Connected and automated vehicles can provide this relief by adjusting…
Imagine a daily commute that is ordered instead of chaotic. Connected and automated vehicles can provide this relief by adjusting to driving conditions with little or no input from drivers. As the car in front of you increases, your speed will accelerate, and when the car stops in front of you, your car will stop too.
At Delaware University, Andreas Malikopoulos uses control theory to develop algorithms that enable future technologies. In two recently published papers, Malikopoulos, recently named Terri Connor Kelly and John Kelly Career Development Professor in Mechanical Engineering, describes automotive and automotive industry innovations pioneering within two university laboratories, UDSSC (UD Scaled Smart City) test bed and a driving simulator facility.
“We develop solutions that can enable the future of energy efficient motion systems,” says Malikopoulos. “We hope our technology will help people reach their destinations faster and safer while saving fuel at the same time.”
Making traffic lights outdated
Someday cars can talk to each other to coordinate traffic patterns. Malikopoulos and Boston University employees have recently developed a solution to control and minimize energy consumption in connected and automated vehicles passing a city cut without traffic signals. Then, they used software to simulate their results and found that their frames allow connected and automated vehicles to conserve speed and fuel while improving travel time. The results were published in the magazine Automatica.
Save fuel and avoid speed tickets
Keep in mind that when the speed limit goes from 65 to 45 mph, your car automatically lowers. Malikopoulos and Cooperative of the University of Virginia formulated a solution that provides optimal acceleration and deceleration in a speed reduction zone, avoiding collisions behind the end. In addition, simulations indicate that the connected cars use 1
9-22 percent less fuel and go to their destinations 26 to 30 percent faster than human vehicles. The results of this research effort were published in IEEE Transactions on Intelligent Transportation Systems.
Malikopoulos has been funded for this work by two US Department of Energy Programs – Smart Mobility Initiative and Advanced Research Projects Agency – Energy NEXTCAR. 19659003] Malikopoulos is the lead researcher of a three-year project funded by the Advanced Research Projects Agency for Energy (ARPA-E) through the NEXT-Generation Energy Technologies (NEXTCAR) Program for the Improvement of Audi A3 e- faith by at least 20 percent. Partners of this project are the University of Michigan, Boston University, Bosch Corporation and Oak Ridge National Laboratory.
University of Delaware . .