Urban air mobility (UAM) is a transformative mode of air transportation system technology
that is targeted to carry passengers and goods in and around urban areas using electric …

With the rapid development of novel vehicle technologies, air taxis are becoming a new
transport servicing model to achieve better urban air mobility (UAM) systems. The UAM …

Airport shuttle service is regarded as one of the most promising use cases for the early
deployment of Urban Air Mobility (UAM). This study introduces an integrated modeling …

As urban populations continue to grow and road traffic congestion worsens, traditional
ground logistics has become less efficient. This has led to longer logistics times and …

A well-organized path can assist unmanned aerial vehicles (UAVs) in performing tasks
efficiently. The artificial fish swarm algorithm (AFSA) is a widely used intelligent optimization …

The integration of electric and flying vehicle (EnFV) systems has ushered in a new era of
transportation, offering promising solutions for reducing carbon emissions and improving …

Carbon emissions estimation of design schemes during the early design stage enables
thorough consideration of environmental issues from the source, which holds critical …

The hovering flight of a quadrotor Unmanned Aerial Vehicle (UAV) refers to maintaining the
aircraft in a fixed position in the air, without lateral, vertical, or rotational movements, using …

Unmanned aerial vehicles (UAVs) play pivotal roles in various applications, from
surveillance to delivery services. Efficient path planning for UAVs in dynamic environments …

The paper researches a utilization of the Salp Swarm Algorithm (SSA), a bio-mimetic
optimization technique, to improve path planning in Unmanned Ground Vehicles (UGVs) …