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Shao Xuan Seah and Sutthiphong Srigrarom
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ...
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Lorenzo Frezza, Paolo Marzioli, Fabio Santoni and Fabrizio Piergentili
The usage of aeronautical radio-frequency navigational aids can support the future stratospheric aviation as back-up positioning systems. Although GNSS has been extensively redundant in the last years of space operations, radio NavAids can still be suppo...
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Mohammad Lavasani, Md Sakoat Hossan, Hamidreza Asgari, Xia Jin
Pág. 2330 - 2343
Revealed preference (RP) and stated preference (SP) data have been widely used in transportation studies to understand user's preferences regarding various travel decisions. This paper focuses on investigating the modeling techniques to address various i...
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Shanjiang Zhu, Gege Jiang, Hong K. Lo
Pág. 664 - 678
Empirical studies showed that travel time reliability, usually measured by travel time variance, is strongly correlated with travel time itself. Travel time is highly volatile when the demand approaches or exceeds the capacity. Travel time variability is...
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Ariawan Djoko Rachmanto,Hernawati Hernawati
Pág. 133 - 138
Menjadi penerbang adalah merupakan cita-cita banyak orang, tetapi banyak kendala yang harus dihadapi yang utama adalah perlu biaya yang besar untuk menjadi seorang pilot. Dikarenakan pendidikan pilot perlu menggunakan peralatan yang mahal seperti praktek...
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Teepe, R. Vor, A. Beese, F. Ludwig, B.
Pág. 357 - 365
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Bertaccini, A.; Vorácková, Z.; Vibio, M.; Fránová, J.; N
Pág. 317 - 324
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