Zobrazeno 1 - 10 of 194 pro vyhledávání: '"Banavar Sridhar"'
1
Wind-optimal lateral trajectories for a multirotor aircraft in urban air mobility
Autor: Priyank Pradeep, Gano B. Chatterji, Todd A. Lauderdale, Kapil Sheth, Chok Fung Lai, Heinz Erzberger, Banavar Sridhar
Publikováno v: Frontiers in Aerospace Engineering. 1
The primary motivation for this paper is to quantify the operational benefits (energy consumption and flight duration) of flying wind-optimal lateral trajectories for short flights (less than 60 miles) anticipated in the urban environment. The optima
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8bdcaa6e45e56f8e5fa133293f435e06
https://doi.org/10.3389/fpace.2022.1064142
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3
Online Multiple-Aircraft Collision Avoidance Method
Autor: Banavar Sridhar, Yongming Liu, Peng Zhao, Weichang Wang, Lei Ying
Publikováno v: Journal of Guidance, Control, and Dynamics. 43:1456-1472
A new method for online multiple-aircraft collision avoidance using an autonomous dependent surveillance-broadcast system is proposed. The key objective is to take advantage of satellite-based navi...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f21194d31d17f566ceabddd39181508
https://doi.org/10.2514/1.g005161
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5
Airway network management using Braess’s Paradox
Autor: Qing Cai, Banavar Sridhar, Vu Duong, Sameer Alam, Chunyao Ma
Publikováno v: Transportation Research Part C: Emerging Technologies. 105:565-579
The ever increasing demand for air travel is likely to induce air traffic congestion which will elicit great economic losses. In the presence of limited airspace capacity as well as the saturated airway network, it is no longer practicable to mitigat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a22b7574100f90806dee9dde610605e1
https://doi.org/10.1016/j.trc.2019.06.014
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10
Applications of Machine Learning Techniques to Aviation Operations: Promises and Challenges
Autor: Banavar Sridhar
Publikováno v: 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT).
There is an increasing interest in applying methods based on Machine Learning Techniques (MLT) to problems in aviation operations. The current interest is based on developments in Cloud Computing, the availability of open software and the success of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f573840c51b0b093ef6f88fb76f5a79c
https://doi.org/10.1109/aida-at48540.2020.9049205
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