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Predicting Taxi-Out Time at Congested Airports with Optimization-Based Support Vector Regression Methods
Joint Authors
Zhang, Yaping
Luo, Xiao
Lian, Guan
Desai, Jitamitra
Xing, Zhiwei
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Accurate prediction of taxi-out time is significant precondition for improving the operationality of the departure process at an airport, as well as reducing the long taxi-out time, congestion, and excessive emission of greenhouse gases.
Unfortunately, several of the traditional methods of predicting taxi-out time perform unsatisfactorily at congested airports.
This paper describes and tests three of those conventional methods which include Generalized Linear Model, Softmax Regression Model, and Artificial Neural Network method and two improved Support Vector Regression (SVR) approaches based on swarm intelligence algorithm optimization, which include Particle Swarm Optimization (PSO) and Firefly Algorithm.
In order to improve the global searching ability of Firefly Algorithm, adaptive step factor and Lévy flight are implemented simultaneously when updating the location function.
Six factors are analysed, of which delay is identified as one significant factor in congested airports.
Through a series of specific dynamic analyses, a case study of Beijing International Airport (PEK) is tested with historical data.
The performance measures show that the proposed two SVR approaches, especially the Improved Firefly Algorithm (IFA) optimization-based SVR method, not only perform as the best modelling measures and accuracy rate compared with the representative forecast models, but also can achieve a better predictive performance when dealing with abnormal taxi-out time states.
American Psychological Association (APA)
Lian, Guan& Zhang, Yaping& Desai, Jitamitra& Xing, Zhiwei& Luo, Xiao. 2018. Predicting Taxi-Out Time at Congested Airports with Optimization-Based Support Vector Regression Methods. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208914
Modern Language Association (MLA)
Lian, Guan…[et al.]. Predicting Taxi-Out Time at Congested Airports with Optimization-Based Support Vector Regression Methods. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1208914
American Medical Association (AMA)
Lian, Guan& Zhang, Yaping& Desai, Jitamitra& Xing, Zhiwei& Luo, Xiao. Predicting Taxi-Out Time at Congested Airports with Optimization-Based Support Vector Regression Methods. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1208914
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208914