Crown Consulting Inc., with team lead Burns Engineering, has been awarded a grant by the National Safe Skies Alliance to develop urban air mobility (UAM) airport/vertiport security requirements.
The State of Ohio can expect more than $13 billion in economic activity over the next 25 years if it takes targeted steps now to support the growth of an advanced autonomous aircraft (AAM) sector, according to a new report by Crown Consulting Inc.
Crown Consulting, Inc. (Crown) has been awarded a NASA Small Business Innovation Research (SBIR) contract to develop a platform for informing community decision-making about designing advanced air mobility (AAM) systems.
Crown Consulting Inc. (Crown) has been selected by Harris Miller Miller & Hanson Inc. (HMMH) to support a $29 million, eight-year NASA contract to collect data that could enable supersonic flight over land, significantly reducing travel time.
The U.S. Air Force Agility Prime Small Business Technology Transfer (STTR) Program has awarded Crown Consulting Inc. (Crown), in partnership with Quantitative Scientific Solutions LLC (QS-2) and North Carolina State University, a contract for “Model-Based Systems Engineering with Machine Learning for Test Case Generation.”
Crown Consulting Inc. was named a top 2020 Washington, D.C. workplace by the Washington Post, receiving high marks for policies that make workers feel happy and fulfilled.
Ohio’s Department of Transportation has enlisted Crown to study the impact of advanced autonomous aircraft technologies on the state’s economy.
Crown Consulting Inc. has been selected to assist with an LMI-led team tasked by NASA to conduct an automated air cargo market survey under the Data Analysis and Technical Support Services contract.
Crown Consulting Inc. has teamed with industry partners to conduct a sequence of human factors experiments to define user standards for remote tower systems for air traffic control.
Crown aerospace engineer Mohamad Refai received NASA’s Exceptional Public Achievement Medal for his contribution as the software lead for the detect and avoid (DAA) modeling and simulation team supporting the agency’s Unmanned Aircraft Systems Integration in the National Airspace System (UAS Integration in the NAS) Project.