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Title:

Nonstationary Markov Chain Framework for Optimizing Dedicated Check-in Service

Accession Number:

01365399

Record Type:

Component

Abstract:

The arrivals of passengers at airport check-in counters represent a random process with variable arrival rates over time. Since the arrivals generally tend to occur at higher rates close to the beginning and end of the scheduled check-in, it is worth determining when additional counter(s) should be opened or closed. This problem becomes more complicated for large airlines at busy airports where they manage the check-in process for multiple flights. A model is developed here for optimizing the number of check-in counters as well as their opening and closing times. The check-in process is modeled as a nonstationary Markov chain and a parallel genetic algorithm with an integrated fourth order Runge-Kutta method is developed to optimize the check-in service. The authors minimize the airline’s cost while providing the desired level of service.

Monograph Accession #:

01362476

Report/Paper Numbers:

12-3902

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Markovic, Nikola
Drobnjak, Zeljko
Schonfeld, Paul

Pagination:

17p

Publication Date:

2012

Conference:

Transportation Research Board 91st Annual Meeting

Location: Washington DC, United States
Date: 2012-1-22 to 2012-1-26
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Aviation; Operations and Traffic Management; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2012 Paper #12-3902

Files:

TRIS, TRB

Created Date:

Feb 8 2012 5:20PM