Your Location：
Home >
Browse articles >
Eixão-UAM: LLM-assisted iterative design of a low-altitude urban air mobility corridor in Brasilia
Special Feature on Engineering and Technology for Low-Altitude Economy Infrastructure | Updated：2026-01-12

    • Eixão-UAM: LLM-assisted iterative design of a low-altitude urban air mobility corridor in Brasilia

      Enhanced Publication
    • Eixão-UAM：基于大语言模型迭代的巴西利亚低空城市空中交通走廊设计
    • “Reporting on the cutting-edge advancements in urban air mobility, this study introduces its research progress in the field of low-altitude airspace planning. Expert researchers established the Eixão-UAM system, which provides solutions to solve scalable, regulation-aware planning problems and lays a foundation for the construction of future low-altitude airspace systems.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 12, Pages: 2421-2439(2025)

    • DOI：10.1631/FITEE.2500541    

      CLC： TP31

    • Received：30 July 2025，

      Revised：2025-10-20，

      Published Online：01 December 2025，

      Published：2025-12

    Scan QR Code

  • Li WEIGANG, Juliano Adorno MAIA, Emilia STENZEL, et al. Eixão-UAM: LLM-assisted iterative design of a low-altitude urban air mobility corridor in Brasilia[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(12): 2421-2439. DOI： 10.1631/FITEE.2500541.

  •  
  •  

0

Views

5

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

FinSphere: a real-time stock analysis agent with instruction-tuned large language models and domain-specific tool integration
Robust global route planning for an autonomous underwater vehicle in a stochastic environment
A novel forwarding and routing mechanism design in SDN-based NDN architecture
Discovering optimal features using static analysis and a genetic search based method for Android malware detection
A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array radar

Related Author

Hongguang LI
Kaiyuan YAN
Yiqing SHEN
Jingshu ZHANG
Shijie HAN
Ronghao ZHENG
Senlin ZHANG
Meiqin LIU

Related Institution

Department of Computer Science, Johns Hopkins University
JF SmartInvest Holdings Ltd.
School of Information Management and Engineering, Shanghai University of Finance and Economics
Department of Industrial Engineering and Operations Research, Columbia University
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University
0