E-PILOTS: A SYSTEM TO PREDICT HARD LANDING DURING THE APPROACH PHASE OF COMMERCIAL FLIGHTS
Main Article Content
Abstract
By performing a go-around, more than half of all business aeroplane operation errors may have been avoided. Making a prompt choice to do a go-around manoeuvre may help to lower the overall accident rate in the aviation industry. In this paper, we define a cockpit-deployable equipment learning system to support flight staff decision-making for a go-around based on the forecast of a difficult touchdown event. In order to forecast challenging touchdowns, this work offers a hybrid approach that uses attributes that model the temporal dependencies of aircraft data as inputs to a semantic network. Based on a large dataset of 58177 commercial flights, the findings indicate that our technique has an average level of sensitivity and uniqueness at the go-around point of 85% and 74%, respectively. It follows that our strategy outperforms other approaches and can be deployed in the cockpit.
Downloads
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.