The Main Factors that Affect Pilot Attention and Decision Making During Landing Operation Leading to Runway Incursion
Semantic Scholar · Article (Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)) · 021109107e8df71400b7412c7d3b23160a81ecfd · Published 2019-11-01 · Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019) · 2 authors
Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019).
Abstract
A runway incursion is a problem which rare to happen but has a great impact while happening. According to the Federal Aviation Administration (FAA), there are three categories that caused runway incursion: Operational error, Pilot deviation, Vehicle/Pedestrian deviation. The major caused is pilot deviation as much as more than half than other factors. The factors that possibly contribute to the human factors needed to find out. This paper will explore several caused such as systems environmental factors which outlined the runway condition, task factors related to complexity pilots’ task, and human factors correlated with pilots’ cognitive ability that contributes to the pilot attention and decision making during landing. Human factors still become a big problem on the runway incursion even though there have been many preventive actions. Based on the literature reviews process, this paper found that system environmental factors and task factors affect human factors on runway incursion.
Authors
- Hastawati Chrisna Suroso
- C. E. Revadi
Keywords
- Computer Science
- Engineering
Citation
Hastawati Chrisna Suroso, C. E. Revadi (2019). The Main Factors that Affect Pilot Attention and Decision Making During Landing Operation Leading to Runway Incursion. Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019). Semantic Scholar ID 021109107e8df71400b7412c7d3b23160a81ecfd. https://doi.org/10.2991/icoemis-19.2019.14 ↗