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Title:

Optimization Approach to Data-Driven Air Traffic Flow Management

Accession Number:

01785687

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

An integer programming model for data-driven air traffic flow management that extends the state-of-the-art approach of Bertsimas and Patterson was developed. The major contribution of our model is that the structure of the route set is modified to improve the flexibility of rerouting operations. To improve the computational performance, we employed reformulation-linearization techniques to turn the model into a linear integer programming model, and we propose two sets of valid inequalities to speed up the computation process. The computational results indicated that the optimal strategies for flights can be efficiently obtained for large-scale instances.

Supplemental Notes:

Xudong Diao https://orcid.org/0000-0001-5953-3475 © National Academy of Sciences: Transportation Research Board 2021.

Language:

English

Authors:

Diao, Xudong

ORCID 0000-0001-5953-3475

Lu, Shan

ORCID 0000-0001-9357-9821

Pagination:

pp 398-404

Publication Date:

2022-3

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2676
Issue Number: 3
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (22)

Subject Areas:

Aviation; Operations and Traffic Management

Files:

TRIS, TRB, ATRI

Created Date:

Oct 24 2021 3:14PM