Airside Capacity Utilization in a Nigerian Airport: A Case Study of Murtala Muhammed International Airport

2019 ◽  
Vol 5 (3) ◽  
pp. 1-8
Author(s):  
Stephens, M. S ◽  
Ayo Agunbiade O.T
Keyword(s):  
Traffic Flow ◽  
Capacity Utilization ◽  
Daily Basis ◽  
Traffic Intensity ◽  
Traffic Demand ◽  
International Airport ◽  
Airport Capacity ◽  
Queue Theory ◽  
Installed Capacity

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.  

scholarly journals Kajian Kausalitas Permintaan Trafik Terhadap Kapasitas Bandara Berdasarkan Persepsi Pengelola Bandara (Studi Kasus: Bandara Internasional Soekarno-Hatta)

WARTA ARDHIA ◽  
2017 ◽  
Vol 41 (1) ◽  
pp. 11
Author(s):  
Fadrinsyah Anwar
Keyword(s):  
Air Traffic ◽  
Traffic Demand ◽  
Probabilistic Causality ◽  
International Airport ◽  
Probabilistic Network ◽  
Airport Capacity ◽  
The Relationship

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.

scholarly journals Queuing analysis using Viswalk for check-in counter: Case study of Lombok Praya International Airport

2018 ◽  
Vol 181 ◽  
pp. 02006
Author(s):  
Sony Sulaksono Wibowo ◽  
Siti Raudhatul Fadilah
Keyword(s):  
Service Time ◽  
Demand Forecasting ◽  
Optimal Number ◽  
Queuing System ◽  
Time Data ◽  
Traffic Demand ◽  
Queuing Analysis ◽  
International Airport ◽  
Airport Terminal

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.

A General Traveler Agent Behaviour Model for Traffic Flow Simulation

2011 ◽  
Vol 467-469 ◽  
pp. 1156-1159 ◽  
Author(s):  
Ling Huang ◽  
Jian Ping Wu
Keyword(s):  
Traffic Flow ◽  
Flow Simulation ◽  
Travel Behaviour ◽  
Optimization Method ◽  
Complex Problem ◽  
Demand Model ◽  
Traffic Demand ◽  
Utility Optimization ◽  
Traffic Flow Simulation

The modeling of traveler’s daily travel behaviour is a complex problem. We propose a general activity-based traveler agent behaviour model for microscopic traffic flow simulation, inspired by the ideas of activity-based traffic demand model, hierarchical structure in behaviours, agent approach and subjective utility optimization method. In the case study, the general model was applied to an unsignalized intersection mixed traffic flow simulation model, and the validation results were promising.

scholarly journals The impact of seasonality on efficient airport capacity utilization

Pomorstvo ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 215-223
Author(s):  
Ana Grbčić ◽  
Svjetlana Hess ◽  
Mirano Hess ◽  
Tomislav Krljan
Keyword(s):  
Service Quality ◽  
Queuing Theory ◽  
Waiting Times ◽  
Capacity Utilization ◽  
International Airport ◽  
Airport Capacity ◽  
Additional Costs ◽  
High Season ◽  
The Impact ◽  
Further Development

The major cause of under-capacity or overcapacity at smaller airports is seasonality. Such airports are finding it difficult to determine the capacity to meet the demand and adequately handle passengers in both high and low season. If the capacity is not optimally defined, excessive congestions and waiting times occur, resulting in lower service quality. Airports greatly benefit from capacity utilization analysis in terms of more accurate planning, designing, and adjusting capacity to the current demand in order to encourage further development as well as to reduce additional costs. Using queuing theory, this paper aims to answer the following question: is the passenger capacity at Rijeka International Airport (Croatia) optimally determined to meet the demand promptly, both in high and low season, without causing excessive congestions and waiting times. The results obtained indicate the occurrence of overcapacity since high season demand can be well served, even with reduced capacity used in the low season when demand is significantly lower.

scholarly journals Creating Infrastructure for Urban Mobility: Case Study of Skopje

2018 ◽  
Vol 30 (4) ◽  
pp. 429-443
Author(s):  
Daniela Koltovska Nečoska ◽  
Edouard Ivanjko ◽  
Daniel Pavleski
Keyword(s):  
Traffic Flow ◽  
Vehicle Emissions ◽  
Transport Infrastructure ◽  
Use Case ◽  
Urban Mobility ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Traffic Demand ◽  
Depth Analysis

In this paper, a methodology for creating and testing new proposed transport infrastructure is presented. It is based on microscopic traffic simulation of current and forecasted traffic demand and in-depth analysis of traffic flow. The most congested boulevard in Skopje has been chosen as a use case. Real-world traffic flow data was collected and used in the calibration and validation of a microscopic simulation model. Three possible configurations of new urban mobility infrastructure have been proposed and best one chosen using appropriately defined criteria. The proposed configurations were evaluated from the aspect of traffic performances, suitability for forecasted future traffic demand, and vehicle emissions. The obtained results prove the effectiveness of the presented methodology in reducing delays and vehicle emissions and significantly improving the level of service of the chosen use case.

Traffic Flow Management Impact on Delay and Fuel Consumption: an Atlanta Case Study

2012 ◽  
Vol 20 (3) ◽  
pp. 203-224 ◽  
Author(s):  
Shon R. Grabbe ◽  
Banavar Sridhar ◽  
Avijit Mukherjee ◽  
Alexander Morando
Keyword(s):  
Fuel Consumption ◽  
Traffic Flow ◽  
Flow Management ◽  
Traffic Flow Management
Sign in / Sign up

Export Citation Format

Share Document