Results 81 to 90 of about 4,538 (210)
A Voxel-Based Optimal Path Planning Method for UAV Navigation in Smart Cities
Smart mobility has emerged as a sustainable solution to the challenges of traffic congestion and environmental pollution in cities. Within this concept, Urban Air Mobility (UAM) offers a promising approach to three-dimensional (3D) urban transportation ...
Min Jang, Dohee Kim, Jiyeong Lee
doaj +1 more source
Urban aerial mobility: Network structure, transportation benefits, and Sino-US comparison. [PDF]
Wang K, Li A, Qu X.
europepmc +1 more source
A Persistent Simulation Environment for Autonomous Systems [PDF]
The age of Autonomous Unmanned Aircraft Systems (AUAS) is creating new challenges for the accreditation and certification requiring new standards, policies and procedures that sanction whether a UAS is safe to fly.
Allen, B. Danette +4 more
core +1 more source
Analysis of Factors Influencing Public Acceptance of Air Taxis in South Korea
Air taxis, a core service within urban air mobility (UAM), have the potential to enhance user satisfaction and address societal challenges such as traffic congestion and environmental pollution.
Ansun Park, Seungmin Lee
doaj +1 more source
Urban air mobility operations, such as flying Uncrewed Aerial Vehicles (UAVs) and small passenger aircraft in and around cities, will be inherently susceptible to the turbulent wind conditions in urban environments.
D S Nithya +4 more
doaj +1 more source
Computational Study of NASA's Quadrotor Urban Air Taxi Concept [PDF]
High-fidelity computational fluid dynamics simulations have been carried out in order to analyze NASA's quadrotor urban air taxi concept for urban air mobility, also know as on-demand mobility applications. High-order accurate schemes, dual-time stepping,
Ventura Diaz, Patricia, Yoon, Seokkwan
core +1 more source
Can Urban Air Mobility become reality? Opportunities, challenges and selected research results
Urban Air Mobility (UAM) is a new air transportation system for passengers and cargo in urban environments, enabled by new technologies and integrated into multimodal transportation systems.
Asmer, Lukas +20 more
core
CFD-quality nowcasting for urban air mobility with a deep learning-based emulator
Urban air mobility (UAM) aircraft typically operate at altitudes of 1000–2000 feet over complex urban terrains, where airflow interactions with structures create dynamic conditions requiring precise, real-time meteorological forecasts.
Jinil Bae +5 more
doaj +1 more source
Modelling public attitude towards air taxis in Germany
Urban air mobility (UAM) holds great promise as an expansion of the transportation system in cities. Despite the progress in UAM technology, there remains significant uncertainty surrounding how the public will accept and react to these mobility services.
Hamid Mostofi +3 more
doaj +1 more source
Analysis of Factors Affecting the Adoption of Urban Air Mobility (UAM)
Hyo-Geun Ju, Jin-Woo Park
openaire +2 more sources

