A Methodology for Shuttle Scheduling in Airports That Ensures Mitigating Arriving Passenger Congestion Under Uncertain Demand
Passenger congestion at the airport is a topic of significance in the field of air transportation in this day. In this study, a three-phased methodology, which warrants mitigating arriving passenger congestion at the airport by scheduling shuttle vehicles even under uncertain passenger demand, is proposed. In the first phase, monthly demands are forecast via an appropriate model from the family of noncausal methods. In the second phase, monthly forecasts are allocated throughout the whole day; then those forecasts are converted into uncertain parameters. In the last phase, a robust counterpart approach is employed to create a schedule for shuttle vehicles, which is absolutely immunized against uncertain demand. Istanbul Ataturk Airport is addressed for the case study. According to the simulation results, it is concluded that shuttle schedules, which are perfectly immunized against uncertainty in arriving passenger demand, are achieved by incurring reasonable increase in total operating cost.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19391390
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Supplemental Notes:
- Copyright © 2022, IEEE.
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Authors:
- Akincilar, Aykan
- Publication Date: 2022-4
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 105-114
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Serial:
- IEEE Intelligent Transportation Systems Magazine
- Volume: 14
- Issue Number: 2
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1939-1390
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645
Subject/Index Terms
- TRT Terms: Airport ground transportation; Airports; Demand; Operating costs; Passenger traffic; Scheduling; Shuttle buses; Shuttle service; Traffic congestion; Uncertainty
- Identifier Terms: Ataturk International Airport
- Subject Areas: Aviation; Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Terminals and Facilities;
Filing Info
- Accession Number: 01842132
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 11 2022 10:46AM