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by Staff Writers Newark DE (SPX) Oct 29, 2018
Imagine a daily commute that's orderly instead of chaotic. Connected and automated vehicles could provide that relief by adjusting to driving conditions with little to no input from drivers. When the car in front of you speeds up, yours would accelerate, and when the car in front of you screeches to a halt, your car would stop, too. At the University of Delaware, Andreas Malikopoulos uses control theory to develop algorithms that will enable this technology of the future. In two recently published papers, Malikopoulos, who was recently named the Terri Connor Kelly and John Kelly Career Development Professor of Mechanical Engineering, describes innovations in connected and automated vehicle technology pioneered in two laboratories at the University, the UD Scaled Smart City (UDSSC) testbed and a driving simulator facility. "We are developing solutions that could enable the future of energy efficient mobility systems," said Malikopoulos. "We hope that our technologies will help people reach their destinations more quickly and safely while conserving fuel at the same time."
Making traffic lights obsolete Then they used software to simulate their results and found that their framework allowed connected and automated vehicles to conserve momentum and fuel while also improving travel time. The results were published in the journal Automatica.
Saving fuel and avoiding speeding tickets What's more, simulations suggest that the connected vehicles use 19 to 22 percent less fuel and get to their destinations 26 to 30 percent faster than human-driven 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 U.S. Department of Energy programs - the Smart Mobility Initiative and the Advanced Research Projects Agency - Energy's NEXTCAR program. Malikopoulos is the principal investigator of a three-year project funded by the Advanced Research Projects Agency for Energy (ARPA-E) through its NEXT-Generation Energy Technologies for Connected and Automated On-Road Vehicles (NEXTCAR) program 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, Bosch Corporation, and Oak Ridge National Laboratory.
Daimler seals ride-hailing deal with China's Geely Frankfurt Am Main (AFP) Oct 24, 2018 Mercedes-Benz parent company Daimler said Wednesday it had signed a joint venture with Chinese carmaker Geely to offer a high-end car-hailing service in the country. Based in Hangzhou, "the joint venture will provide ride-hailing mobility services in several Chinese cities using premium vehicles including but not limited to Mercedes-Benz vehicles" and Geely electric cars, the group said in a statement. "Financial terms and the investment plans of the joint venture have not been disclosed at this ... read more
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