Auction-Based Slot Allocation for Traffic Demand Management at Hartsfield Atlanta International Airport: A Case Study

Author(s):  
Loan Le ◽  
George Donohue ◽  
Chun-Hung Chen
Author(s):  
Stephens, M. S ◽  
Ayo Agunbiade O.T

Airport Capacity generally refers to the ability of an airport to handle a given volume of traffic (demand) and should be assess to ensure they are adequate for lay down Standards. This study was based on the assessment of Airside Capacity Utilization at an International Airport; the Runway is the focus of this study. Capacities are very important and this dictates the level of patronage made by airlines at the Airport. Murtala Mohammed International Airport (MMIA) as a case study was examined; the domestic and international traffic flow well assessed on a daily basis, over a period of sixteen (16) years, to determine the traffic intensity of the airport was obtained from Federal Aviation Authority of Nigeria (FAAN) and Nigerian Airspace Management Agencies (NAMA). This experimental research involved the estimation of the traffic flow, installed capacity of the Runway, the intensity of traffic on hourly, daily, monthly bases. The model adopted for the research was Queue Theory. Findings show that the domestic wing generates more traffic flow than international wing of the Runway. The through put at the Runways shows that the runway is adequately utilized to accommodate existing traffic, expansion in the form of construction will not be necessary.  


2018 ◽  
Vol 181 ◽  
pp. 02006
Author(s):  
Sony Sulaksono Wibowo ◽  
Siti Raudhatul Fadilah

Queuing analysis on check-in counter in airport is required to accommodate the passenger processing facilities, such as check-in service. The purpose of this paper is to evaluate the performance of a queuing system at check-in facilities in 2nd passenger terminal Lombok Praya International Airport in 2016 and 2036. This analysis is done by determining parameters of the queues at every check-in counter through simulations on Viswalk. Before running the simulation, the model of airport terminal must be created first. Queuing simulation starts with the traffic demand forecasting of domestic departure passenger for the next 20 years. To determine the optimal number of check-in counters, an iteration of various number is performed. Check-in services time data were adopted from previous study which became an input of the simulation using two different scenarios. The expected output are the queuing parameter and the distribution of passenger service time at each check-in counter.


WARTA ARDHIA ◽  
2017 ◽  
Vol 41 (1) ◽  
pp. 11
Author(s):  
Fadrinsyah Anwar

Traffic demand is an important factor in planning the airport capacity and facility. Forecasting future traffic demand becomes a necessity in determining the amount of capacity or dimension of airport facilities. There are factors that have to be considered in predicting the traffic demand. This study aimed to examine the relationship between the demand for air traffic and the airport capacity, and discuss the relationship between the variables that affect traffic demand and the variables that affect the increase in the capacity of the airport. This study uses probabilistic causality approach. The results of case study in Soekarno-Hatta International Airport show that, in general, the increase in the probability of the traffic demand variables can affect the increase in the probability of airport capacity variables. The probability value of the airport capacity variables which significantly increased are runway, apron and curbside. Keywords: Demand, airport capasity, causality, probabilistic network. Permintaan trafik merupakan faktor penting dalam merencanakan kebutuhan kapasitas dan fasilitas di bandara. Peramalan permintaan trafik di masa yang akan datang menjadi suatu kebutuhan dalam menentukan besaran atau dimensi fasilitas bandara. Banyak faktor yang perlu dipertimbangkan dalam memprediksi permintaan trafik. Penelitian ini bertujuan untuk mengkaji hubungan antara permintaan trafik angkutan udara dengan kapasitas bandara, dan membahas hubungan antara variabel-variabel yang mempengaruhi permintaan trafik dan variabel-variabel yang mempengaruhi peningkatan kapasitas bandara. Penelitian ini menggunakan pendekatan kausalitas probabilistik. Hasil analisis pada studi kasus Bandara Soekarno-Hatta, diperoleh bahwa secara umum peningkatan probabilitas pada variabel permintaan trafik dapat mempengaruhi peningkatan probabilitas pada variabel kapasitas bandara. Nilai probabilitas variabel kapasitas yang meningkat secara signifikan adalah landas pacu, apron dan curbside. Kata kunci: Permintaan, kapasitas bandara, kausalitas, jaringan probabilistik.


GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 206-212
Author(s):  
Dr. D. Shoba ◽  
Dr. G. Suganthi

Employees and employers are facing issues in work life balance. It has become a difficult domain now, because the work needs have increased due to an increase in work pressure and complexities in handling the technology. As there are drastic changes in the rules and regulations in the work scenario of the aviation industry, it makes work life balance of employees difficult and set more hurdles. Hence there are many distractions and imbalances in the life of women employees in the aviation industry working across all levels. This work pressure is creating high level of hurdles in maintaining a harmonious job and family life, especially for female aviation employees. Data is collected from 50 female crew members working at Cochin International Airport. The objective of this study is to analyze the work life balance of working females of Cochin International Airport and its influence on their personal and specialized lives. The result of the study shows that the management should frame certain policies which will help employees to have the balance among their personal and expert lives.


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