Air Mobility with VTOL UAVs: An Integrative Review of Architectures, Mission Profiles, Planning Algorithms, and Regulatory Frameworks

Air mobility has emerged as a key paradigm for enabling flexible and efficient aerial transportation and mission-oriented operations. Unmanned aerial vehicles (UAVs), commonly referred to as drones, and particularly platforms with vertical takeoff and landing (VTOL) capabilities, play a central role in the development of future air mobility systems. In this paper, a new conceptual framework linking six key dimensions: VTOL/eVTOL architectures, regulatory constraints, flight mission profiles, air mobility algorithms, infrastructure requirements, and social impacts, was proposed. The first four layers from the proposed framework that are usually surveyed separately, VTOL airframe architectures, mission profiles for single and multiple vehicles, the algorithms that turn a mission into executable flight, and the regulatory frameworks within which all of this must operate, were integrated and analyzed. Planning methods are classified by decision level, information availability, coordination structure, computational approach, and assurance level, with algorithmic guarantees interpreted in the context of their underlying assumptions. An illustrative phase-dependent energy model explores how hover fraction and cruise range influence comparisons among multirotor, lift-plus-cruise, and tilt-rotor configurations. To improve cross-study interpretation, the review also proposes task-dependent reporting domains and an evidence-level framework for assessing algorithmic results. The synthesis provides guidance for coupled platform and planning-method selection, while recognizing the limitations of its source-selection process and comparisons across heterogeneous evaluation conditions.

Authors

Institutions

Publication Details

Journal
Drones
Published
2026-11-09
DOI
https://doi.org/10.3390/drones10110840
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Air Mobility with VTOL UAVs: An Integrative Review of Architectures, Mission Profiles, Planning Algorithms, and Regulatory Frameworks

Răzvan Udroiu, Delia Elena Spridon, Adrian Marius Deaconu
Drones
Air Traffic Management and Optimization
article

Air Mobility with VTOL UAVs: An Integrative Review of Architectures, Mission Profiles, Planning Algorithms, and Regulatory Frameworks

Răzvan Udroiu, Delia Elena Spridon, Adrian Marius Deaconu
article en

Abstract

Air mobility has emerged as a key paradigm for enabling flexible and efficient aerial transportation and mission-oriented operations. Unmanned aerial vehicles (UAVs), commonly referred to as drones, and particularly platforms with vertical takeoff and landing (VTOL) capabilities, play a central role in the development of future air mobility systems. In this paper, a new conceptual framework linking six key dimensions: VTOL/eVTOL architectures, regulatory constraints, flight mission profiles, air mobility algorithms, infrastructure requirements, and social impacts, was proposed. The first four layers from the proposed framework that are usually surveyed separately, VTOL airframe architectures, mission profiles for single and multiple vehicles, the algorithms that turn a mission into executable flight, and the regulatory frameworks within which all of this must operate, were integrated and analyzed. Planning methods are classified by decision level, information availability, coordination structure, computational approach, and assurance level, with algorithmic guarantees interpreted in the context of their underlying assumptions. An illustrative phase-dependent energy model explores how hover fraction and cruise range influence comparisons among multirotor, lift-plus-cruise, and tilt-rotor configurations. To improve cross-study interpretation, the review also proposes task-dependent reporting domains and an evidence-level framework for assessing algorithmic results. The synthesis provides guidance for coupled platform and planning-method selection, while recognizing the limitations of its source-selection process and comparisons across heterogeneous evaluation conditions.

DronesVol. 10(11)
Transylvania University of Brașov (RO)
Air Traffic Management and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon