Real-time investigation of flight delays based on the internet of things data

Abdulwahab Aljubairy, Ali Shemshadi*, Quan Z. Sheng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

9 Citations (Scopus)

Abstract

Flight delay is a very important problem resulting in the wasting of billions of dollars each year. Other researchers have studied this problem using historical records of flights. With the emerging paradigm of Internet of things (IoT), it is now possible to analyze sensors data in real-time. We investigate flight delays using real-time data from the IoT. We crawl IoT data and collect the data from various resources including flights, weather and air quality sensors. Our goal is to improve our understanding of the roots and signs of flight delays in order to be able to classify a given flight based on the features from flights and other data sources. We extend the existing works by adding new data sources and considering new factors in the analysis of flight delay. Through the use of real-time data, our goal is to establish a novel service to predict delays in real-time.

Original languageEnglish
Title of host publicationAdvanced data mining and applications
Subtitle of host publication12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12–15, 2016, proceedings
EditorsJinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng
Place of PublicationCham
PublisherSpringer, Springer Nature
Pages788-800
Number of pages13
ISBN (Electronic)9783319495866
ISBN (Print)9783319495859
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event12th International Conference on Advanced Data Mining and Applications, ADMA 2016 - Gold Coast, Australia
Duration: 12 Dec 201615 Dec 2016

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume10086
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Advanced Data Mining and Applications, ADMA 2016
CountryAustralia
CityGold Coast
Period12/12/1615/12/16

Keywords

  • Data mining
  • Flight delay analysis
  • Internet of things
  • Machine learning
  • Prediction

Fingerprint Dive into the research topics of 'Real-time investigation of flight delays based on the internet of things data'. Together they form a unique fingerprint.

Cite this