This study computes linear regression models to predict taxi in and out times at Barcelona-El Prat Airport using R software. Taxi time results are given for each stand as a function of the hour of the day. Also, it is analysed how many variables are influencing the time with their relevancy degree. The study has been carried out using airports daily operational data for the months of June, July and August 2013.Peer ReviewedPostprint (author's final draft
Accurate prediction of taxi-out time is significant precondition for improving the operationality of...
The current paper stresses the high priority of accurate taxi time calculation and suitable pre-depa...
Accurate taxi time prediction is required for enabling efficient runway scheduling that can increase...
This study computes linear regression models to predict taxi in and out times at Barcelon...
This document contains a study about taxitime analysis in Barcelona-El Prat airport using ADS-B data...
This research aims at providing methods in analyzing and estimating the taxi times of aircraft at ai...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
Airports are vital for global connectivity. However, the increasing volume of air travel has present...
All major airport operators face a similar challenge, namely ensuring maximum throughput and maintai...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
Taxi time predictions are used by air traffic controllers to optimally release aircraft from the gat...
Taxiing remains a major bottleneck at many airports. Recently, several approaches to allocating effi...
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively...
Predicting the taxi-out times of departures accurately is important for improving airport efficiency...
Accurate prediction of taxi-out time is significant precondition for improving the operationality of...
Accurate prediction of taxi-out time is significant precondition for improving the operationality of...
The current paper stresses the high priority of accurate taxi time calculation and suitable pre-depa...
Accurate taxi time prediction is required for enabling efficient runway scheduling that can increase...
This study computes linear regression models to predict taxi in and out times at Barcelon...
This document contains a study about taxitime analysis in Barcelona-El Prat airport using ADS-B data...
This research aims at providing methods in analyzing and estimating the taxi times of aircraft at ai...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
Airports are vital for global connectivity. However, the increasing volume of air travel has present...
All major airport operators face a similar challenge, namely ensuring maximum throughput and maintai...
The predicted growth in air transportation and the ambitious goal of the European Commission to have...
Taxi time predictions are used by air traffic controllers to optimally release aircraft from the gat...
Taxiing remains a major bottleneck at many airports. Recently, several approaches to allocating effi...
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively...
Predicting the taxi-out times of departures accurately is important for improving airport efficiency...
Accurate prediction of taxi-out time is significant precondition for improving the operationality of...
Accurate prediction of taxi-out time is significant precondition for improving the operationality of...
The current paper stresses the high priority of accurate taxi time calculation and suitable pre-depa...
Accurate taxi time prediction is required for enabling efficient runway scheduling that can increase...