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Détails du magazine
Format
Magazine
eISSN
1407-6179
Première publication
20 Mar 2000
Période de publication
4 fois par an
Langues
Anglais

Chercher

Volume 21 (2020): Edition 1 (February 2020)

Détails du magazine
Format
Magazine
eISSN
1407-6179
Première publication
20 Mar 2000
Période de publication
4 fois par an
Langues
Anglais

Chercher

6 Articles
Accès libre

Behavior of Air Passenger Demand in a Liberalized Market

Publié en ligne: 27 Feb 2020
Pages: 1 - 14

Résumé

Abstract

This article analyzes the behavior of the demand of domestic and international air passengers in a context of liberalized air transport market and with a total deregulation of airfares (using as case study the Colombian air transport market), and where it is also contemplated the influence, on this demand, of several factors of diverse origin (economic, market / competition and geographic). And due to the complexity of the air transport system, the use of System Dynamics is considered appropriate as an analysis tool. The main results indicate a convergence (in the study period) to a stabilization status of the load factor, which suggests that the air operators were able to better understand the behavior of the demand and thereby better adjust their supply.

Mots clés

  • air passenger demand
  • airport
  • air transport
  • system dynamics
  • liberalization
  • Colombia
Accès libre

The Use of Multi-Sensor Video Surveillance System to Assess the Capacity of the Road Network

Publié en ligne: 27 Feb 2020
Pages: 15 - 31

Résumé

Abstract

Currently, in many cities around the world there is a significant increase in the number of vehicles, which leads to an aggravation of problems and contradictions in the road and transport system. This is especially true of traffic congestion, since the presence of the congestion leads to a number of negative consequences: an increase in travel time, additional fuel consumption and vehicle wear, stress and irritation of drivers and passengers, environmental poisoning and others. To solve the problem of congestion, it is necessary to have a reliable system for collecting information about the situation on the roads and a well-developed method for analyzing the collected information. The paper discusses the possibilities of collecting the required information using multi-touch video cameras and ways to improve them. A distinctive feature of this study is the registration of pedestrians crossing the road at the intersection. The aim of the work is to develop methods for collecting information using road sensor video surveillance systems in a traffic congestion and data processing using statistical methods such as: multiple regression analysis, cluster analysis, multidimensional scaling methods and others. The tasks were set: 1) to identify the most significant factors affecting the intensity of movement of vehicles at intersections in a congestion; 2) divide congestion into clusters with the identification of their characteristics; 3) to give a visual representation of multidimensional statistical information obtained with the help of multi-touch road video cameras.

Mots clés

  • traffic congestion
  • multi-touch video cameras
  • vehicle detection
  • pedestrians
  • factors
  • road situation analysis
Accès libre

Mobility Aware Network Selection in a Heterogeneous Wireless Environment

Publié en ligne: 27 Feb 2020
Pages: 32 - 46

Résumé

Abstract

Different Radio Access Technologies (RATs) coexist in the same area has encouraged the researchers to get profit from the available networks by selecting of the best RAT at each moment of the call session to satisfy the user requirements. In this paper, we address a real-world problem which is the frequent mobility of the users in heterogeneous networks. We present in this paper a framework that allows users to select the best networks for the whole call session especially form a mobility perspective. The framework consists of several steps, starting by the path prediction which is performed using a Markov model order 2. The second step is to make the network selection on the zones of each predicted path, while in the third step; we get the best RAT’s configuration for each predicted path. Finally, we use another function to select one of the best configurations to be used for all the possible used paths. The results show that our proposal performs very well by eliminating the unnecessary vertical handover while maintaining a good Quality of Service (QoS).

Mots clés

  • Radio Access Technologies
  • network selection
  • paths prediction
  • Markov model
  • vertical handover
  • QoS
  • call session
Accès libre

Exploring the Potential of Web Based Information of Business Popularity for Supporting Sustainable Traffic Management

Publié en ligne: 27 Feb 2020
Pages: 47 - 60

Résumé

Abstract

This paper explores the potential of using crowdsourcing tools, namely Google “Popular times” (GPT) as an alternative source of information to predict traffic-related impacts. Using linear regression models, we examined the relationships between GPT and traffic volumes, travel times, pollutant emissions and noise of different areas in different periods. Different data sets were collected: i) crowdsourcing information from Google Maps; ii) traffic dynamics with the use of a probe car equipped with a Global Navigation Satellite System data logger; and iii) traffic volumes. The emissions estimation was based on the Vehicle Specific Power methodology, while noise estimations were conducted with the use of “The Common Noise Assessment Methods in Europe” (CNOSSOS-EU) model. This study shows encouraging results, as it was possible to establish clear relationships between GPT and traffic and environmental performance.

Mots clés

  • ICT
  • Google Maps
  • Crowdsourcing
  • Noise
  • missions
  • Sustainable Transport
Accès libre

Performance Analysis of Resource Sharing During Downlink Multi-User Transmissions in CSMA/ECA Full Duplex WLANs

Publié en ligne: 27 Feb 2020
Pages: 61 - 68

Résumé

Abstract

Full Duplex (FD) wireless communications is considered to be the next big step for future Wireless Local Area Networks (WLANs). Old (IEEE 802.11ac) and new (IEEE 802.11ax) WLAN features are expected to co-exist with FD operation. Some of these features include Downlink Multi-User (DL MU) transmissions at the physical layer while at the Medium Access Control (MAC) layer techniques such as the Transmission Opportunity (TXOP) sharing mechanism facilitates these multiuser transmissions. The traditional Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol is inadequate to support full duplex communications efficiently. A very promising adaptation of CSMA/CA and a powerful candidate as the basic channel access method for future WLANs is the Carrier Sense Multiple Access with Enhanced Collision Avoidance (CSMA/ECA). In this paper, we provide an analytical model to assess the performance of resource sharing techniques in full duplex WLANs operating with the CSMA/ECA protocol. Our analysis is based on Markov chains to obtain an estimate of the achievable throughput of the Quality of Service Access Point (QAP) during DL MU transmissions.

Mots clés

  • Full Duplex Wireless Local Area Networks
  • Downlink Multi-User
  • Transmission Opportunity sharing
  • Carrier Sense Multiple Access/Enhanced Collision Avoidance
Accès libre

Blue Growth Potential in South Baltic Sea Region

Publié en ligne: 27 Feb 2020
Pages: 69 - 83

Résumé

Abstract

The Baltic Sea Region (BSR) stands for a flagship maritime region in Europe with dominating SME sector. Nevertheless, compared with other European regions, the cooperation and promotion activities of companies that belong to the Blue Economy in South Baltic Sea Region (SBSR) are not sufficient. As a response to this, the EU-project INTERMARE South Baltic aims to support the maritime economy in the SBSR by the creation of a network of companies and stakeholders.

In line with the project, this study aims to analyse the future potential of the maritime economy and to identify trends that impact the sustainable development of the blue sector in SBSR. Based on primary data from a SBSR wide survey, descriptive statistical analysis is applied and Compound Annual Growth Rate is used as an indicator. The findings reveal need for actions regarding the sub-sectors Transport, Offshore oil & gas, Aquaculture, Fishery, Mineral resources and Biotechnology.

Mots clés

  • Maritime Economy
  • Blue Growth
  • Sustainable Development
  • SMEs
  • Internationalisation
  • Predictive Analysis
6 Articles
Accès libre

Behavior of Air Passenger Demand in a Liberalized Market

Publié en ligne: 27 Feb 2020
Pages: 1 - 14

Résumé

Abstract

This article analyzes the behavior of the demand of domestic and international air passengers in a context of liberalized air transport market and with a total deregulation of airfares (using as case study the Colombian air transport market), and where it is also contemplated the influence, on this demand, of several factors of diverse origin (economic, market / competition and geographic). And due to the complexity of the air transport system, the use of System Dynamics is considered appropriate as an analysis tool. The main results indicate a convergence (in the study period) to a stabilization status of the load factor, which suggests that the air operators were able to better understand the behavior of the demand and thereby better adjust their supply.

Mots clés

  • air passenger demand
  • airport
  • air transport
  • system dynamics
  • liberalization
  • Colombia
Accès libre

The Use of Multi-Sensor Video Surveillance System to Assess the Capacity of the Road Network

Publié en ligne: 27 Feb 2020
Pages: 15 - 31

Résumé

Abstract

Currently, in many cities around the world there is a significant increase in the number of vehicles, which leads to an aggravation of problems and contradictions in the road and transport system. This is especially true of traffic congestion, since the presence of the congestion leads to a number of negative consequences: an increase in travel time, additional fuel consumption and vehicle wear, stress and irritation of drivers and passengers, environmental poisoning and others. To solve the problem of congestion, it is necessary to have a reliable system for collecting information about the situation on the roads and a well-developed method for analyzing the collected information. The paper discusses the possibilities of collecting the required information using multi-touch video cameras and ways to improve them. A distinctive feature of this study is the registration of pedestrians crossing the road at the intersection. The aim of the work is to develop methods for collecting information using road sensor video surveillance systems in a traffic congestion and data processing using statistical methods such as: multiple regression analysis, cluster analysis, multidimensional scaling methods and others. The tasks were set: 1) to identify the most significant factors affecting the intensity of movement of vehicles at intersections in a congestion; 2) divide congestion into clusters with the identification of their characteristics; 3) to give a visual representation of multidimensional statistical information obtained with the help of multi-touch road video cameras.

Mots clés

  • traffic congestion
  • multi-touch video cameras
  • vehicle detection
  • pedestrians
  • factors
  • road situation analysis
Accès libre

Mobility Aware Network Selection in a Heterogeneous Wireless Environment

Publié en ligne: 27 Feb 2020
Pages: 32 - 46

Résumé

Abstract

Different Radio Access Technologies (RATs) coexist in the same area has encouraged the researchers to get profit from the available networks by selecting of the best RAT at each moment of the call session to satisfy the user requirements. In this paper, we address a real-world problem which is the frequent mobility of the users in heterogeneous networks. We present in this paper a framework that allows users to select the best networks for the whole call session especially form a mobility perspective. The framework consists of several steps, starting by the path prediction which is performed using a Markov model order 2. The second step is to make the network selection on the zones of each predicted path, while in the third step; we get the best RAT’s configuration for each predicted path. Finally, we use another function to select one of the best configurations to be used for all the possible used paths. The results show that our proposal performs very well by eliminating the unnecessary vertical handover while maintaining a good Quality of Service (QoS).

Mots clés

  • Radio Access Technologies
  • network selection
  • paths prediction
  • Markov model
  • vertical handover
  • QoS
  • call session
Accès libre

Exploring the Potential of Web Based Information of Business Popularity for Supporting Sustainable Traffic Management

Publié en ligne: 27 Feb 2020
Pages: 47 - 60

Résumé

Abstract

This paper explores the potential of using crowdsourcing tools, namely Google “Popular times” (GPT) as an alternative source of information to predict traffic-related impacts. Using linear regression models, we examined the relationships between GPT and traffic volumes, travel times, pollutant emissions and noise of different areas in different periods. Different data sets were collected: i) crowdsourcing information from Google Maps; ii) traffic dynamics with the use of a probe car equipped with a Global Navigation Satellite System data logger; and iii) traffic volumes. The emissions estimation was based on the Vehicle Specific Power methodology, while noise estimations were conducted with the use of “The Common Noise Assessment Methods in Europe” (CNOSSOS-EU) model. This study shows encouraging results, as it was possible to establish clear relationships between GPT and traffic and environmental performance.

Mots clés

  • ICT
  • Google Maps
  • Crowdsourcing
  • Noise
  • missions
  • Sustainable Transport
Accès libre

Performance Analysis of Resource Sharing During Downlink Multi-User Transmissions in CSMA/ECA Full Duplex WLANs

Publié en ligne: 27 Feb 2020
Pages: 61 - 68

Résumé

Abstract

Full Duplex (FD) wireless communications is considered to be the next big step for future Wireless Local Area Networks (WLANs). Old (IEEE 802.11ac) and new (IEEE 802.11ax) WLAN features are expected to co-exist with FD operation. Some of these features include Downlink Multi-User (DL MU) transmissions at the physical layer while at the Medium Access Control (MAC) layer techniques such as the Transmission Opportunity (TXOP) sharing mechanism facilitates these multiuser transmissions. The traditional Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol is inadequate to support full duplex communications efficiently. A very promising adaptation of CSMA/CA and a powerful candidate as the basic channel access method for future WLANs is the Carrier Sense Multiple Access with Enhanced Collision Avoidance (CSMA/ECA). In this paper, we provide an analytical model to assess the performance of resource sharing techniques in full duplex WLANs operating with the CSMA/ECA protocol. Our analysis is based on Markov chains to obtain an estimate of the achievable throughput of the Quality of Service Access Point (QAP) during DL MU transmissions.

Mots clés

  • Full Duplex Wireless Local Area Networks
  • Downlink Multi-User
  • Transmission Opportunity sharing
  • Carrier Sense Multiple Access/Enhanced Collision Avoidance
Accès libre

Blue Growth Potential in South Baltic Sea Region

Publié en ligne: 27 Feb 2020
Pages: 69 - 83

Résumé

Abstract

The Baltic Sea Region (BSR) stands for a flagship maritime region in Europe with dominating SME sector. Nevertheless, compared with other European regions, the cooperation and promotion activities of companies that belong to the Blue Economy in South Baltic Sea Region (SBSR) are not sufficient. As a response to this, the EU-project INTERMARE South Baltic aims to support the maritime economy in the SBSR by the creation of a network of companies and stakeholders.

In line with the project, this study aims to analyse the future potential of the maritime economy and to identify trends that impact the sustainable development of the blue sector in SBSR. Based on primary data from a SBSR wide survey, descriptive statistical analysis is applied and Compound Annual Growth Rate is used as an indicator. The findings reveal need for actions regarding the sub-sectors Transport, Offshore oil & gas, Aquaculture, Fishery, Mineral resources and Biotechnology.

Mots clés

  • Maritime Economy
  • Blue Growth
  • Sustainable Development
  • SMEs
  • Internationalisation
  • Predictive Analysis

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