An Optimization Model for Assessing Flight Technical Delay

Wong, Jennifer T.; Li, Sui-Ling; Gillingwater, David

doi:10.1080/03081060290033212

Cited by 12 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fundamentally air flight delay occurs due to the lack of supply of air transport modes or facilities that meets demand of air travel. For instance, Wong et al (2002) suggested that lack of runway capacity is the main cause of flight delay. Dillingham (2005) supported that increased demand of aircrafts in the national airspace system is another main cause of air flight delay.…”

Section: Previous Analysismentioning

confidence: 98%

Detecting periodic patterns of arrival delay

Abdel-Aty

Lee

Bai

et al. 2007

Journal of Air Transport Management

View full text Add to dashboard Cite

Section: Previous Analysismentioning

confidence: 98%

Detecting periodic patterns of arrival delay

Abdel-Aty

Lee

Bai

et al. 2007

Journal of Air Transport Management

View full text Add to dashboard Cite

“…Reynolds-Feighan and Button (1999) focused on assessment of the capacity and congestion levels at European airports. Wong et al (2002) introduced an optimization model for assessing flight technical delay. Traffic may be especially affected when transportation networks are interrupted, which causes delays and makes passengers anxious about their arrival time.…”

Section: Introductionmentioning

confidence: 99%

Simulation based Predictive analysis of Indian Airport transportation system using Computational intelligence techniques

Rajarajeswari,

Kumari,

Lakshmi

et al. 2023

J. Aerosp. Technol. Manag.

View full text Add to dashboard Cite

Normally, flight delays and cancellations have significant impact on airlines operations and passenger's satisfaction. Flight delays reduce the performance of airline operations and make significant effect on airports on time performance. Previously statistical models have been used for flight delays analysis. This study was applied in Indian aviation industry and it has given statistical analysis of domestic airlines. In this research paper, we have applied Machine Learning models with the help of computational intelligence techniques for predicting airport transport management system. We have also applied computational intelligence techniques such as Particle Swarm Optimization (PSO) and Ant Colonization Optimization (ACO) to optimize the prediction model for delay period time and calculating the most optimal dependability. We have made comprehensive analysis of Data Efficiency Model for different airlines with various approaches as well as comparative analysis of accuracy for predicting airport model by using various machine learning models. In this study we have presented invaluable insights for the analysis of flight delay models.

show abstract

“…Flight delay is a global problem that concerns industrial experts for years, and much research has been done through different approaches [1] [2] [3]. Bayesian Network (BN), a machine learning method based on graph theory and probability theory, is an effective tool used to model and estimate unstable complex problems with plenty records [4].…”

Section: Introductionmentioning

confidence: 99%

A Remixed Bayesian Network Based Algorithm for Flight Delay Estimating

Liu¹,

Wu²

2013

Int. J. of Pure and Appl. Math.

View full text Add to dashboard Cite

A new Bayesian Network algorithm is proposed in this paper. When seeking more accurate results, this new algorithm, Negotiating Method with Competition and Redundancy (NMCR), has bigger scale in structure than other network models we proposed. Time needed for network training and speed in testing show that NMCR works well in estimating of arrival flight delay, especially in flight chains mainly operated in China.

show abstract

An Optimization Model for Assessing Flight Technical Delay

Cited by 12 publications

References 11 publications

Detecting periodic patterns of arrival delay

Detecting periodic patterns of arrival delay

Simulation based Predictive analysis of Indian Airport transportation system using Computational intelligence techniques

A Remixed Bayesian Network Based Algorithm for Flight Delay Estimating

Contact Info

Product

Resources

About