Evidence map›Paper›PMID 39431131›Full record

ArticleFundamental research2024

The role of intelligent technology in the development of urban air mobility systems: A technical perspective.

Yang Liu, Cheng Lyu, Fan Bai, Omkar Parishwad, Ying Li

Abstract read
In one paragraph

Article in Fundamental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yang LiuDepartment of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg SE-41296, Sweden.
Cheng LyuChair of Transportation Systems Engineering, Technical University of Munich, Munich 80333, Germany.
Fan BaiSchool of Information Engineering, Chang'an University, Xi'an 710010, China.
Omkar ParishwadDepartment of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg SE-41296, Sweden.
Ying LiSchool of Information Engineering, Chang'an University, Xi'an 710010, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban Air Mobility (UAM) is an emerging transportation system that aims at revolutionizing urban mobility through the deployment of small electric vertical takeoff and landing (eVTOL) aircraft. The development of UAM is largely driven by advances in Intelligent Technology (IT). This review article provides an overview of the UAM system and discusses the application of IT in UAM. Major challenges facing UAM are also identified, and an outlook on the future of this promising transportation system is presented. Our main conclusions suggest that IT is a fundamental driver of UAM, enabling a range of applications such as air traffic management and autonomous drone control. However, the UAM system is facing a number of challenges, including eVTOL technology, system integration issues, and noise pollution. Despite these challenges, the future of UAM appears promising; as a disruptive transportation mode, UAM is expected to play an important role in addressing the growing demand of urban transportation in the coming decades.

Indexed as

Air traffic developmentArtificial intelligenceDisruptive transportation modeIntelligent technologyUrban air mobility

Identifiers

PMID39431131
PMCPMC11489498

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.