Airport Visibility Prediction System to Improve Aviation Safety
- DOI
- 10.2991/978-94-6463-092-3_18How to use a DOI?
- Keywords
- Backpropagation; Visibility; predicting; system
- Abstract
Security and safety are the most important things in the world of transportation, especially in aviation or air transportation. Safety and security matters are affected by factors such as visibility, wind direction, wind speed, temperature, dew point and barometric pressure. The most important of these factors is visibility. In world aviation, visibility is stated if the distance is more than 5 km. If the visibility is less than 5 km, the flight will be delayed until the visibility is declared safe. Therefore, in this study a system was built to ensure visibility for flight safety and security. The data in this study were taken from the Aviation Meteorology Center of the Meteorology, Climatology and Geophysics Agency, from Juanda International Airport of Surabaya. The visibility system built has an accuracy value of 93.22% or an RMSE value of 0.06776. In this system, the most appropriate number of parameters is determined, namely: the best learning rate is 0.001, the hidden layer unit is 24, and the number of iterations is 10,000 iterations.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lady Silk Moonlight AU - Bambang Bagus Harianto AU - Ahmad Musadek AU - Meita Maharani Sukma AU - Teguh Arifianto PY - 2023 DA - 2023/02/21 TI - Airport Visibility Prediction System to Improve Aviation Safety BT - Proceedings of the International Conference on Advance Transportation, Engineering, and Applied Science (ICATEAS 2022) PB - Atlantis Press SP - 199 EP - 210 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-092-3_18 DO - 10.2991/978-94-6463-092-3_18 ID - Moonlight2023 ER -