Predicting taxi-out time at congested airports with optimization-based support vector regression methods
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 predictin...
Saved in:
Main Authors: | Lian, Guan, Zhang, Yaping, Desai, Jitamitra, Xing, Zhiwei, Luo, Xiao |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/85019 http://hdl.handle.net/10220/45093 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Hidden Logistic Linear Regression for Support Vector Machine based phone verification
by: Li, B., et al.
Published: (2013) -
Feature selection for support vector regression using probabilistic prediction
by: Yang, J.-B., et al.
Published: (2014) -
Feature selection using probabilistic prediction of support vector regression
by: Yang, J.-B., et al.
Published: (2014) -
HVAC control using support vector regression models
by: XI XUECHENG
Published: (2010) -
Support vector regression based on grid-search method for short-term wind power forecasting
by: Zhang, Hong, et al.
Published: (2018)