ABSTRACT

Flight delays are a significant problem for society as they evenly impair airlines, transport companies, air traffic controllers, facility managers, and passengers. Studying prior flight data is an essential activity for every player involved in the air transportation system. Besides, developing accurate prediction models for flight delays is a crucial component of the decision-making process. Prescribing actions to solve on-going delays is an even challenging task due to the air transportation system complexity. In this regard, this paper presents a thorough literature review of data science techniques used for investigating flight delays. This work proposes a taxonomy and compiles the initiatives used to address the flight delay studies. It also offers a systematic literature review that describes the trends of the field and methods to analyse the applicability of newly proposed methods.

摘要

航班延误对社会来说是一个重大问题，因为它们会均匀地损害航空公司、运输公司、空中交通管制员、设施管理人员和乘客的利益。研究先前的飞行数据对于参与航空运输系统的每个参与者来说都是一项必不可少的活动。此外，为航班延误开发准确的预测模型是决策过程的重要组成部分。由于航空运输系统的复杂性，制定解决持续延误的措施甚至是一项具有挑战性的任务。在这方面，本文对用于调查航班延误的数据科学技术进行了全面的文献综述。这项工作提出了一个分类法并汇编了用于解决航班延误研究的举措。