Improving the Fuel Economy of HDVs Using V2V Communication
Associate Professor of Mechanical Engineering and Associate Professor of Civil and Environmental Engineering, College of Engineering
A mathematical framework allows optimization of the speed profile and selection of the optimal gears for heavy-duty vehicles (HDVs) traveling on highways while varying parameters.
Improved the fuel economy of HDVs by exploiting vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity.
BUDGET YEAR: 2014-05-01
RESEARCH CATEGORY: CONNECTED & AUTOMATED TECHNOLOGY