Technology
Is UAM Better Together? The Potential and Promise of Ridesharing
NASA and Purdue University Associates Unveil PANVEL
While no one knows yet exactly how much an urban air mobility (UAM) eEVTOL air taxi ride will cost per mile, chances are the initial trips won’t be cheap. And, not cheap doesn’t bode well for rapid adoption by the traveling public. But… if a cohort of passengers want to travel from the same origin-destination…
Want to Upgrade Your Urban Air Mobility Fleet’s Cost-efficiency?
A trio of German researchers show you how to optimize your operational and configurational fleet decisions
Michael Husemann, a senior expert global footprint with battery manufacturer PowerCo, Ansgar Kirste,director of product management for Robert Bosch, and Elke Stumpf, a journalist have done what others have not done to date. The trio devised a model UAM optimization model to better evaluate fleet operations in order to make smart strategic choices about vehicle…
Take Charge! Putting the e in eVTOL
A team of British researchers devise a new method to assess battery power capabilities
In their research paper, “Novel battery power capability assessment for improved eVTOL aircraft landing,” researchers Ollie Hatherall, Anup Barai, Mona Faraji Niri, and James Marco from the Energy Innovation Centre, WMG, University of Warwick, Coventry, United Kingdom and Zeyuan Wang from Vertical Aerospace Group Ltd in Bristol, United Kingdom sought to find innovative ways to develop a power testing capability testing framework. They sought…
For UAM to Do Good, First Design Your VTOLs Right
NASA explains what you need to know about designing VTOL aircraft used for the public good
Early planning, beginning in the design phase of aircraft development is key to having a finished project that meets public service operators’ needs.
New at NASA: A Chief Artificial Intelligence Officer
The American space agency consolidates its AI operations under one organization
Equally important is helping NASA’s roughly 18,000 employees understand they are ultimately responsible what the AI produces.