Abstract Vehicular emissions have many impacts on human health and travel behaviour. A lot of evidence on the health effects of vehicular emissions is available but very few studies have looked at the impacts on travel behaviour. The current study attempts to fill this research gap by analysing the factors that influence pedestrian travel behaviour concerning vehicle emissions based on travellers’ perceptions in the Indian context. For this, a stated preference questionnaire survey was conducted and a factor-based regression followed by a mediation analysis was used to analyse the responses. Results showed that a person’s perceived impacts about vehicular emissions had a greater impact on their travel behaviour. Public concern and environmental attitude lead to direct changes in travel behaviour whereas vehicle technology and negligent attitude had significant indirect effects. The present study findings are useful to the urban planning policymakers in reducing the impact of vehicular emissions on pedestrians by implementing strategies that lessen human exposure to transport emissions.
{"title":"Travellers’ Perception About Vehicular Emissions’ and its Impact on Pedestrian Travel Behaviour","authors":"Md Zabiulla, B. Kadali","doi":"10.2478/ttj-2022-0019","DOIUrl":"https://doi.org/10.2478/ttj-2022-0019","url":null,"abstract":"Abstract Vehicular emissions have many impacts on human health and travel behaviour. A lot of evidence on the health effects of vehicular emissions is available but very few studies have looked at the impacts on travel behaviour. The current study attempts to fill this research gap by analysing the factors that influence pedestrian travel behaviour concerning vehicle emissions based on travellers’ perceptions in the Indian context. For this, a stated preference questionnaire survey was conducted and a factor-based regression followed by a mediation analysis was used to analyse the responses. Results showed that a person’s perceived impacts about vehicular emissions had a greater impact on their travel behaviour. Public concern and environmental attitude lead to direct changes in travel behaviour whereas vehicle technology and negligent attitude had significant indirect effects. The present study findings are useful to the urban planning policymakers in reducing the impact of vehicular emissions on pedestrians by implementing strategies that lessen human exposure to transport emissions.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"1 1","pages":"227 - 240"},"PeriodicalIF":1.4,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89659656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Grakovski, Aleksandr Krivchenkov, Boriss Misnevs
Abstract The research is related to machine learning and deep learning (ML/DL) methods for clustering and classification that are compatible with anomaly detection (network attacks detection) in digital forensics. Research is conducted in the field of selecting subsets of features of a dataset useful for constructing a good predictor (classifier). In this study, a new feature selection method for a classifier based on the Analytical Hierarchy Process (AHP) method is presented and tested. The proposed step-by-step algorithm for the iterative selection of these features makes it possible to obtain the minimum required list of features that are associated with attack events and can be used to detect them. For the classification, Artificial Neural Network (ANN) method is used. The accuracy of attack detection by the proposed method has been verified in numerical experiments.
{"title":"Feature Selection Method for Ml/Dl Classification of Network Attacks in Digital Forensics","authors":"A. Grakovski, Aleksandr Krivchenkov, Boriss Misnevs","doi":"10.2478/ttj-2022-0011","DOIUrl":"https://doi.org/10.2478/ttj-2022-0011","url":null,"abstract":"Abstract The research is related to machine learning and deep learning (ML/DL) methods for clustering and classification that are compatible with anomaly detection (network attacks detection) in digital forensics. Research is conducted in the field of selecting subsets of features of a dataset useful for constructing a good predictor (classifier). In this study, a new feature selection method for a classifier based on the Analytical Hierarchy Process (AHP) method is presented and tested. The proposed step-by-step algorithm for the iterative selection of these features makes it possible to obtain the minimum required list of features that are associated with attack events and can be used to detect them. For the classification, Artificial Neural Network (ANN) method is used. The accuracy of attack detection by the proposed method has been verified in numerical experiments.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"17 1","pages":"131 - 141"},"PeriodicalIF":1.4,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72937273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The forecasting of future airline passenger demand is critical task for airline management. The objective of the present study was to develop an adaptive neuro-fuzzy inference system (ANFIS) for predicting Australia’s domestic airline passenger demand. The ANFIS model was trained, tested, and validated in the study. Sugeno fuzzy rules were used in the ANFIS structure and Gaussian membership function, and linear membership functions were also developed. The hybrid learning algorithm and the subtractive clustering partition method were used to generate the optimum ANFIS models. The results found that the mean absolute percentage error (MAPE) for the overall data set of the ANFIS model was 3.25% demonstrating that the ANFIS model has high predictive capabilities. The ANFIS model could be used in other domestic air travel markets.
{"title":"Predicting Australia’s Domestic Airline Passenger Demand using an Anfis Approach","authors":"P. Srisaeng, Glenn Baxter","doi":"10.2478/ttj-2022-0013","DOIUrl":"https://doi.org/10.2478/ttj-2022-0013","url":null,"abstract":"Abstract The forecasting of future airline passenger demand is critical task for airline management. The objective of the present study was to develop an adaptive neuro-fuzzy inference system (ANFIS) for predicting Australia’s domestic airline passenger demand. The ANFIS model was trained, tested, and validated in the study. Sugeno fuzzy rules were used in the ANFIS structure and Gaussian membership function, and linear membership functions were also developed. The hybrid learning algorithm and the subtractive clustering partition method were used to generate the optimum ANFIS models. The results found that the mean absolute percentage error (MAPE) for the overall data set of the ANFIS model was 3.25% demonstrating that the ANFIS model has high predictive capabilities. The ANFIS model could be used in other domestic air travel markets.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"101 1","pages":"151 - 159"},"PeriodicalIF":1.4,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73940933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This paper reports the undermined potential of broad range of (Information and communication technologies) ICTs that remained effective yet unnoticed in different flood-phases to exchange traffic, travel, and evacuation related information. The objective was to identify convenient ICTs that people found operational in life cycle of a flood. For the purpose, ICTs were tested in relation to 18 different variables based on personal capabilities, demographic, and vehicle-based information etc. Samples of 105 and 102 subjects were recruited from flood-prone communities of developing and developed case-studies respectively, through random sampling and analyzed through Multinomial Logistic Regression. Those categories of independent variables that showed p-value ≥ 0.05 were considered to model the results. The main findings showed that in developed countries TV, mobile phone subscriptions and international news channels were prominent source of information whilst in developing countries multiple messengers, Facebook and contributory websites were impactful for information dissemination. The results are useful for academia, engineers, and policy makers and for future work same variables can be tested for different disaster affected communities.
{"title":"Mapping Undermined Role of Information and Communication Technologies in Floods","authors":"Izza Anwer, M. Yousuf","doi":"10.2478/ttj-2022-0015","DOIUrl":"https://doi.org/10.2478/ttj-2022-0015","url":null,"abstract":"Abstract This paper reports the undermined potential of broad range of (Information and communication technologies) ICTs that remained effective yet unnoticed in different flood-phases to exchange traffic, travel, and evacuation related information. The objective was to identify convenient ICTs that people found operational in life cycle of a flood. For the purpose, ICTs were tested in relation to 18 different variables based on personal capabilities, demographic, and vehicle-based information etc. Samples of 105 and 102 subjects were recruited from flood-prone communities of developing and developed case-studies respectively, through random sampling and analyzed through Multinomial Logistic Regression. Those categories of independent variables that showed p-value ≥ 0.05 were considered to model the results. The main findings showed that in developed countries TV, mobile phone subscriptions and international news channels were prominent source of information whilst in developing countries multiple messengers, Facebook and contributory websites were impactful for information dissemination. The results are useful for academia, engineers, and policy makers and for future work same variables can be tested for different disaster affected communities.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"68 1","pages":"168 - 179"},"PeriodicalIF":1.4,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74981331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Mazyliuk, O. Sitovskyi, O. Prentkovskis, V. Dembitskyi, I. Murovanyi, Y. Bulik
Abstract There were examined the problems of passage of the regulated parts of a road. There were investigated the changes of a traffic movement intensity in Lutsk (Ukraine) during the spread of Covid-19 pandemic. The graphic dependences of the drivers’ actions estimation while passing the traffic lights objects on a chosen movement route at the beginning of quarantine measures, during the least movement intensity and at the increasing of movement intensity, were obtained. A method of increasing of a possibility of the traffic lights objects nonstop passage was offered.
{"title":"Research of an Influence of a Traffic Flow Movement Intensity Change on the Possibility of Nonstop Passage of the Traffic Lights Objects","authors":"P. Mazyliuk, O. Sitovskyi, O. Prentkovskis, V. Dembitskyi, I. Murovanyi, Y. Bulik","doi":"10.2478/ttj-2022-0012","DOIUrl":"https://doi.org/10.2478/ttj-2022-0012","url":null,"abstract":"Abstract There were examined the problems of passage of the regulated parts of a road. There were investigated the changes of a traffic movement intensity in Lutsk (Ukraine) during the spread of Covid-19 pandemic. The graphic dependences of the drivers’ actions estimation while passing the traffic lights objects on a chosen movement route at the beginning of quarantine measures, during the least movement intensity and at the increasing of movement intensity, were obtained. A method of increasing of a possibility of the traffic lights objects nonstop passage was offered.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"s3-37 1","pages":"142 - 150"},"PeriodicalIF":1.4,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90827937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aldona Podgórniak-Krzykacz, Justyna Przywojska, Justyna Trippner-Hrabi
Abstract This article proposes a multilevel bike-sharing assessment framework based on the concept of public value. This approach makes it possible to combine customer satisfaction with the transport service system with determinants of demand for bicycle services in the form of value. The framework aims to evaluate the parameters of public bike systems (PBS) that determine user value, and that co-create user value, system value, and social and ecological value, to identify the characteristics of the bicycle that need improvement in order to meet users’ needs and optimize quality. The framework uses empirical verification through satisfaction surveys of PBS users in Lodz, Poland. The results of the study were subjected to factor analysis, which revealed four groups of factors that satisfy public bike users: (1) impact on the health, environment, mobility and traffic in the city, (2) reliability, and comfort, (3) intramodality, (4) price and technical availability.
{"title":"A Public Value-Based, Multilevel Evaluation Framework to Examine Public Bike-Sharing Systems. Implications for Cities’ Sustainable Transport Policies","authors":"Aldona Podgórniak-Krzykacz, Justyna Przywojska, Justyna Trippner-Hrabi","doi":"10.2478/ttj-2022-0016","DOIUrl":"https://doi.org/10.2478/ttj-2022-0016","url":null,"abstract":"Abstract This article proposes a multilevel bike-sharing assessment framework based on the concept of public value. This approach makes it possible to combine customer satisfaction with the transport service system with determinants of demand for bicycle services in the form of value. The framework aims to evaluate the parameters of public bike systems (PBS) that determine user value, and that co-create user value, system value, and social and ecological value, to identify the characteristics of the bicycle that need improvement in order to meet users’ needs and optimize quality. The framework uses empirical verification through satisfaction surveys of PBS users in Lodz, Poland. The results of the study were subjected to factor analysis, which revealed four groups of factors that satisfy public bike users: (1) impact on the health, environment, mobility and traffic in the city, (2) reliability, and comfort, (3) intramodality, (4) price and technical availability.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"35 1","pages":"180 - 194"},"PeriodicalIF":1.4,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90243197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This research put forward an efficacious real-time deep learning-based technique to automate the process of monitoring the social distancing in transportation systems (e.g., bus stops, railway stations, airport terminals, etc.) and other public spaces with the purpose to mitigate the impact of coronavirus pandemic. The proposed technique makes use of the YOLOv3 model to segregate humans from the background of each image of a surveillance video and the linear Kalman filter for tracking the humans’ motion even in case in which another object or person overlaps the trajectory of the person under analysis. The performance of the model in human detection is extremely high as demonstrated by the accuracy of the model that reaches values higher than 95%. The detection algorithm can be applied for alerting people to keep a safe distance from each other when they are in crowded places or in groups.
{"title":"Social Distance Evaluation in Transportation Systems and Other Public Spaces using Deep Learning","authors":"M. Guerrieri, G. Parla","doi":"10.2478/ttj-2022-0014","DOIUrl":"https://doi.org/10.2478/ttj-2022-0014","url":null,"abstract":"Abstract This research put forward an efficacious real-time deep learning-based technique to automate the process of monitoring the social distancing in transportation systems (e.g., bus stops, railway stations, airport terminals, etc.) and other public spaces with the purpose to mitigate the impact of coronavirus pandemic. The proposed technique makes use of the YOLOv3 model to segregate humans from the background of each image of a surveillance video and the linear Kalman filter for tracking the humans’ motion even in case in which another object or person overlaps the trajectory of the person under analysis. The performance of the model in human detection is extremely high as demonstrated by the accuracy of the model that reaches values higher than 95%. The detection algorithm can be applied for alerting people to keep a safe distance from each other when they are in crowded places or in groups.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"173 1","pages":"160 - 167"},"PeriodicalIF":1.4,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78542641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Viviana Mero Cheme, Martin Herrera Martinez, Rayner Durango, V. S. Padilla
Abstract Guayaquil is one of the most congested cities on the American continent. Several users cannot access on-time transport service according to the demand requested at bus stops. This work presents a simulation of the Wi-Fi technology to determine the number of users present at a bus stop. The objective is to know an estimation of them in different time intervals throughout the day, which could be useful for several actions, e.g., to set up a better distribution of transportation schedules or to place the bus stops in more demanding sites by users. The methodology included simulation scenarios for user counting at the bus stops. The results depicted that Wi-Fi technology performed suitable even in high-level attenuation scenarios.
{"title":"Occupancy Estimation at Bus Stops Through Wi-Fi Connectivity Assessment – A Study in Guayaquil City","authors":"Viviana Mero Cheme, Martin Herrera Martinez, Rayner Durango, V. S. Padilla","doi":"10.2478/ttj-2022-0009","DOIUrl":"https://doi.org/10.2478/ttj-2022-0009","url":null,"abstract":"Abstract Guayaquil is one of the most congested cities on the American continent. Several users cannot access on-time transport service according to the demand requested at bus stops. This work presents a simulation of the Wi-Fi technology to determine the number of users present at a bus stop. The objective is to know an estimation of them in different time intervals throughout the day, which could be useful for several actions, e.g., to set up a better distribution of transportation schedules or to place the bus stops in more demanding sites by users. The methodology included simulation scenarios for user counting at the bus stops. The results depicted that Wi-Fi technology performed suitable even in high-level attenuation scenarios.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"74 1","pages":"93 - 101"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80487473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Prior to commencing the voyage planning procedure, the entire navigation area on the forthcoming passage should be divided into several sections, depending on various factors, such as traffic density, restricted depths, availability of ship reporting systems, hydrometeorological conditions, high risk navigation areas in order to outline measures to ensure the safety of ship’s navigation. In addition, these factors have direct impact on the ship’s speed during the voyage. On the other hand, slow steaming can reduce fuel consumption on the same section of the route by 10-15%. Reducing the ship’s speed can significantly minimize its operating costs. However, when choosing economically feasible ship’s speed it should be kept in mind that reducing the speed can lead to a significant decrease in the number of voyages per year and, consequently, to the reduction of annual freight income. Therefore, a practically important and relevant problem is the necessity to find the speed of ship operation, which will provide a balance between economical fuel consumption and profits from ship operation. The classic approach to optimizing the speed mode of ships is based on the cubic dependence of fuel consumption on speed. Therefore, depending on the distance between ports, the duration of the voyage and the conditions for the time of arrival of the ship to the port, in the modern publications were proposed approaches to the optimization of the speed mode, based on the additional income or time-charter equivalent.
{"title":"Efficiency of Ship Operation in Transportation of Oversized and Heavy Cargo by Optimizing the Speed Mode Considering the Impact of Weather Conditions","authors":"S. Onyshchenko, O. Melnyk","doi":"10.2478/ttj-2022-0007","DOIUrl":"https://doi.org/10.2478/ttj-2022-0007","url":null,"abstract":"Abstract Prior to commencing the voyage planning procedure, the entire navigation area on the forthcoming passage should be divided into several sections, depending on various factors, such as traffic density, restricted depths, availability of ship reporting systems, hydrometeorological conditions, high risk navigation areas in order to outline measures to ensure the safety of ship’s navigation. In addition, these factors have direct impact on the ship’s speed during the voyage. On the other hand, slow steaming can reduce fuel consumption on the same section of the route by 10-15%. Reducing the ship’s speed can significantly minimize its operating costs. However, when choosing economically feasible ship’s speed it should be kept in mind that reducing the speed can lead to a significant decrease in the number of voyages per year and, consequently, to the reduction of annual freight income. Therefore, a practically important and relevant problem is the necessity to find the speed of ship operation, which will provide a balance between economical fuel consumption and profits from ship operation. The classic approach to optimizing the speed mode of ships is based on the cubic dependence of fuel consumption on speed. Therefore, depending on the distance between ports, the duration of the voyage and the conditions for the time of arrival of the ship to the port, in the modern publications were proposed approaches to the optimization of the speed mode, based on the additional income or time-charter equivalent.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"92 1","pages":"73 - 80"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84040957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The demands on virtual communication have increased noticeably during the COVID-19 pandemic lockdown. As an essential part of virtual communication, VoIP should be promoted to achieve the desired level of performance. One critical area investigated in VoIP is the bandwidth utilization (BWU) of the VoIP over IPv6 networks. Enhancing BWU will impact call capacity and quality; it increases call capacity and boosts call quality. Unfortunately, a considerable amount of bandwidth is wasted when running VoIP over IPv6 networks. This is due to the large size of the IPv6 header and the small size of the speech frame. This paper proposes a new method to handle the inefficient BWU when running VoIP over IPv6 networks. The proposed method combines multiplexing multiple VoIP packets in one IPv6 header and using the superfluous fields to carry a portion of the speech frame. Therefore, the proposed is called packet multiplexing and carrier fields (PMCF). Investigation of the PCMF method has been done using four metrics to measure the promotion in BWU, namely calls capacity, header size, bandwidth saving, and speech frame shortening metrics. With the four metrics, the PMCF method has outperformed the comparable methods. For instance, the call capacity has been promoted by up to 269% compared to the typical IPv6 method in the tested scenarios. Therefore, the PMCF method is a feasible solution to facilitate the BWU of VoIP when running VoIP over IPv6 networks.
新冠肺炎疫情防控期间，虚拟通信需求明显增加。作为虚拟通信的重要组成部分，VoIP应得到推广，以达到预期的性能水平。VoIP研究的一个关键领域是IPv6网络上VoIP的带宽利用率(BWU)。加强BWU会影响通话容量和质素;增加通话容量，提高通话质量。不幸的是，在IPv6网络上运行VoIP时，浪费了相当多的带宽。这是由于IPv6报头的大小和小的语音帧的大小。本文提出了一种新的方法来解决IPv6网络上运行VoIP时低效率的BWU问题。该方法将多个VoIP数据包在一个IPv6报头中进行多路复用，并使用多余的字段来携带部分语音帧。因此，该方案被称为PMCF (packet multiplexing and carrier fields)。采用呼叫容量、报头大小、带宽节省和语音帧缩短四个指标来衡量BWU中的提升，对PCMF方法进行了研究。在这四个指标上，PMCF方法优于其他可比较的方法。例如，在测试场景中，与典型的IPv6方式相比，通话容量提升了269%。因此，在IPv6网络上运行VoIP时，PMCF方法是实现VoIP BWU的可行方案。
{"title":"A New Method to Boost VoIP Performance Over IPv6 Networks","authors":"Mosleh M Abualhaj, Sumaya N. Al-Khatib","doi":"10.2478/ttj-2022-0006","DOIUrl":"https://doi.org/10.2478/ttj-2022-0006","url":null,"abstract":"Abstract The demands on virtual communication have increased noticeably during the COVID-19 pandemic lockdown. As an essential part of virtual communication, VoIP should be promoted to achieve the desired level of performance. One critical area investigated in VoIP is the bandwidth utilization (BWU) of the VoIP over IPv6 networks. Enhancing BWU will impact call capacity and quality; it increases call capacity and boosts call quality. Unfortunately, a considerable amount of bandwidth is wasted when running VoIP over IPv6 networks. This is due to the large size of the IPv6 header and the small size of the speech frame. This paper proposes a new method to handle the inefficient BWU when running VoIP over IPv6 networks. The proposed method combines multiplexing multiple VoIP packets in one IPv6 header and using the superfluous fields to carry a portion of the speech frame. Therefore, the proposed is called packet multiplexing and carrier fields (PMCF). Investigation of the PCMF method has been done using four metrics to measure the promotion in BWU, namely calls capacity, header size, bandwidth saving, and speech frame shortening metrics. With the four metrics, the PMCF method has outperformed the comparable methods. For instance, the call capacity has been promoted by up to 269% compared to the typical IPv6 method in the tested scenarios. Therefore, the PMCF method is a feasible solution to facilitate the BWU of VoIP when running VoIP over IPv6 networks.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"25 1","pages":"62 - 72"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78365702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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