A. Moldabekova, R. Philipp, Hans-Eggert Reimers, Bauyrzhan Alikozhayev
Abstract The logistics performance has a crucial role in the industrial and economic development of countries. This study aims to underline implications for policy makers in improving the logistics performance of countries in terms of Industry 4.0. For this purpose, the effect of digitalisation on logistics performance is analysed by using correlation and multiple regression analysis. The empirical study builds upon dimensions and indicators of the Digital Economy and Society Index (DESI) and Logistics Performance Index (LPI) of the World Bank. The results indicate that governmental policies should target to deliver sound framework conditions for the generation of human capital (here: ICT specialists), sustainable usage of internet services (e.g. professional social networks, online sales, etc.), integration of digital technologies (e.g. Big Data, Cloud computing, etc.), as well as digital connectivity (here: fixed broadband and 4G coverage) in order facilitate improvement of logistics performance.
{"title":"Digital Technologies for Improving Logistics Performance of Countries","authors":"A. Moldabekova, R. Philipp, Hans-Eggert Reimers, Bauyrzhan Alikozhayev","doi":"10.2478/ttj-2021-0016","DOIUrl":"https://doi.org/10.2478/ttj-2021-0016","url":null,"abstract":"Abstract The logistics performance has a crucial role in the industrial and economic development of countries. This study aims to underline implications for policy makers in improving the logistics performance of countries in terms of Industry 4.0. For this purpose, the effect of digitalisation on logistics performance is analysed by using correlation and multiple regression analysis. The empirical study builds upon dimensions and indicators of the Digital Economy and Society Index (DESI) and Logistics Performance Index (LPI) of the World Bank. The results indicate that governmental policies should target to deliver sound framework conditions for the generation of human capital (here: ICT specialists), sustainable usage of internet services (e.g. professional social networks, online sales, etc.), integration of digital technologies (e.g. Big Data, Cloud computing, etc.), as well as digital connectivity (here: fixed broadband and 4G coverage) in order facilitate improvement of logistics performance.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"39 1","pages":"207 - 216"},"PeriodicalIF":1.4,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73908887","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 paper describes a mixed reality environment for testing highly automated vehicle functions. The proposed Scenario-inthe-Loop test system connects real-time computer simulation with real elements being applicable at automotive proving ground. The paper outlines necessary hardware and software requirements and proposes basic system architecture. The limitation and bottleneck of the system are also identified: latency of the wireless communication constraints the accuracy of the test system. However, the presented framework can contribute to efficient development, testing and validation of automated cars. The Scenario-In-The-Loop architecture has also been justified by real-world demonstration using an experimental 5G New Radio network technology.
{"title":"System Architecture for Scenario-In-The-Loop Automotive Testing","authors":"Balázs Varga, T. Tettamanti, Z. Szalay","doi":"10.2478/ttj-2021-0011","DOIUrl":"https://doi.org/10.2478/ttj-2021-0011","url":null,"abstract":"Abstract The paper describes a mixed reality environment for testing highly automated vehicle functions. The proposed Scenario-inthe-Loop test system connects real-time computer simulation with real elements being applicable at automotive proving ground. The paper outlines necessary hardware and software requirements and proposes basic system architecture. The limitation and bottleneck of the system are also identified: latency of the wireless communication constraints the accuracy of the test system. However, the presented framework can contribute to efficient development, testing and validation of automated cars. The Scenario-In-The-Loop architecture has also been justified by real-world demonstration using an experimental 5G New Radio network technology.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"16 1","pages":"141 - 151"},"PeriodicalIF":1.4,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82880100","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 Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. In this review, the ITS-based solutions for traffic management and control have been categorized as traffic data collection solutions, traffic management solutions, congestion avoidance solutions, and travel time prediction solutions. The solutions have been presented along with their underlying technologies, advantages, and drawbacks. First, important solutions for collecting traffic-related data and road conditions are discussed. Next, ITS solutions for the effective management of traffic are presented. Third, key strategies based on machine learning and computational intelligence for avoiding congestion are outlined. Fourth, important solutions for accurately predicting travel time are presented. Finally, avenues for future work in these areas are discussed.
{"title":"Intelligent Traffic Management: A Review of Challenges, Solutions, and Future Perspectives","authors":"Roopa Ravish, S. R. Swamy","doi":"10.2478/ttj-2021-0013","DOIUrl":"https://doi.org/10.2478/ttj-2021-0013","url":null,"abstract":"Abstract Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. In this review, the ITS-based solutions for traffic management and control have been categorized as traffic data collection solutions, traffic management solutions, congestion avoidance solutions, and travel time prediction solutions. The solutions have been presented along with their underlying technologies, advantages, and drawbacks. First, important solutions for collecting traffic-related data and road conditions are discussed. Next, ITS solutions for the effective management of traffic are presented. Third, key strategies based on machine learning and computational intelligence for avoiding congestion are outlined. Fourth, important solutions for accurately predicting travel time are presented. Finally, avenues for future work in these areas are discussed.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"9 1","pages":"163 - 182"},"PeriodicalIF":1.4,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84685619","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}
V. Aristov, G. Gaigals, G. Supols, E. Lobanovs, Vents Riekstins, V. Zujs
Abstract Increasing requirements in the field of security, in particular in the transport sector, the rescue work, the inviolability of private property and others urged to research work in the field of radar monitoring people, vehicles or other objects in the environment that not allow make so using the most popular and available technology for production and analysis of video images. These conditions of poor visibility, or even lack thereof, are darkness, bad weather, smoke, dust, wall (roof) buildings and the vehicle body. Existing instruments and special equipment occupy a certain niche in this area, mainly for counter-terrorism operations. However, such equipment is not readily available and extremely high price. In the paper presented research is development of the group’s existing radar technology in the field of location through opaque obstacles.
{"title":"Ultra-Wideband Pulse Radar with Discrete Stroboscopic Receiver for Detection of Small Targets Behind Dielectric Obstacles","authors":"V. Aristov, G. Gaigals, G. Supols, E. Lobanovs, Vents Riekstins, V. Zujs","doi":"10.2478/ttj-2021-0015","DOIUrl":"https://doi.org/10.2478/ttj-2021-0015","url":null,"abstract":"Abstract Increasing requirements in the field of security, in particular in the transport sector, the rescue work, the inviolability of private property and others urged to research work in the field of radar monitoring people, vehicles or other objects in the environment that not allow make so using the most popular and available technology for production and analysis of video images. These conditions of poor visibility, or even lack thereof, are darkness, bad weather, smoke, dust, wall (roof) buildings and the vehicle body. Existing instruments and special equipment occupy a certain niche in this area, mainly for counter-terrorism operations. However, such equipment is not readily available and extremely high price. In the paper presented research is development of the group’s existing radar technology in the field of location through opaque obstacles.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"68 1","pages":"196 - 206"},"PeriodicalIF":1.4,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76523240","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}
M. Guerrieri, R. Mauro, Andrea Pompigna, Natalia Isaenko
Abstract Several European road operators and authorities joined the C-Roads Platform with the aim of harmonising the deployment activities of cooperative intelligent transport systems (C-ITS). C-ITS research is preliminary to future automated-driving vehicles. The current conventional highways were designed on traditional criteria and models specifically developed for traffic flows of manually guided vehicles. Thus, this article describes some new criteria for designing and monitoring road infrastructures on the basis of performance features of autonomous (or self-driving) vehicles. The new criteria have been adopted to perform an accurate conformity control of the A22 Brenner motorway, included in the C-Roads Platform, and also to ascertain whether in future it may be travelled by automated vehicles in safety conditions. Always in accordance with the technical and scientific insights required by the C-Roads Platform, a traffic model has been implemented to estimate how the A22 capacity increases compared to current values, by taking various percentages of automated or manual vehicles into consideration. The results given by theoretical models indicate that the highway will be able to be travelled by automated vehicles in safety conditions. On the other hand, the lane capacity is due to increase up to 2.5 times more than the current capacities, experimentally determined through traffic data collected from 4 highway sections by means of Drake’s flow model.
{"title":"Road Design Criteria and Capacity Estimation Based on Autonomous Vehicles Performances. First Results from the European C-Roads Platform and A22 Motorway","authors":"M. Guerrieri, R. Mauro, Andrea Pompigna, Natalia Isaenko","doi":"10.2478/ttj-2021-0018","DOIUrl":"https://doi.org/10.2478/ttj-2021-0018","url":null,"abstract":"Abstract Several European road operators and authorities joined the C-Roads Platform with the aim of harmonising the deployment activities of cooperative intelligent transport systems (C-ITS). C-ITS research is preliminary to future automated-driving vehicles. The current conventional highways were designed on traditional criteria and models specifically developed for traffic flows of manually guided vehicles. Thus, this article describes some new criteria for designing and monitoring road infrastructures on the basis of performance features of autonomous (or self-driving) vehicles. The new criteria have been adopted to perform an accurate conformity control of the A22 Brenner motorway, included in the C-Roads Platform, and also to ascertain whether in future it may be travelled by automated vehicles in safety conditions. Always in accordance with the technical and scientific insights required by the C-Roads Platform, a traffic model has been implemented to estimate how the A22 capacity increases compared to current values, by taking various percentages of automated or manual vehicles into consideration. The results given by theoretical models indicate that the highway will be able to be travelled by automated vehicles in safety conditions. On the other hand, the lane capacity is due to increase up to 2.5 times more than the current capacities, experimentally determined through traffic data collected from 4 highway sections by means of Drake’s flow model.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"38 1","pages":"230 - 243"},"PeriodicalIF":1.4,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76864463","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 A sustainable transportation system is possible only through an efficient evaluation of transportation network performance. The efficiency of the transport network structure is analyzed in terms of its connectivity, accessibility, network development, and spatial pattern. This study primarily aims to propose a methodology for modeling the accessibility based on the structural parameters of the urban road network. Accessibility depends on the arrangement of the urban road network structure. The influence of the structural parameters on the accessibility is modeled using Multiple Linear Regression (MLR) analysis. The study attempts to introduce two methods of Artificial Intelligence (AI) namely Artificial Neural Networks (ANN) and Adaptive network-based neuro-fuzzy inference system (ANFIS) in modeling the urban road network accessibility. The study also focuses on comparing the results obtained from MLR, ANN and ANFIS modeling techniques in predicting the accessibility. The results of the study present that the structural parameters of the road network have a considerable impact on accessibility. ANFIS method has shown the best performance in modeling the road network accessibility with a MAPE value of 0.287%. The present study adopted Geographical Information Systems (GIS) to quantify, extract and analyze different features of the urban transportation network structure. The combination of GIS, ANN, and ANFIS help in improved decision-making. The results of the study may be used by transportation planning authorities to implement better planning practices in order to improve accessibility.
{"title":"GIS-Based Urban Road Network Accessibility Modeling Using MLR, ANN and ANFIS Methods","authors":"K. Sahitya, C. Prasad","doi":"10.2478/ttj-2021-0002","DOIUrl":"https://doi.org/10.2478/ttj-2021-0002","url":null,"abstract":"Abstract A sustainable transportation system is possible only through an efficient evaluation of transportation network performance. The efficiency of the transport network structure is analyzed in terms of its connectivity, accessibility, network development, and spatial pattern. This study primarily aims to propose a methodology for modeling the accessibility based on the structural parameters of the urban road network. Accessibility depends on the arrangement of the urban road network structure. The influence of the structural parameters on the accessibility is modeled using Multiple Linear Regression (MLR) analysis. The study attempts to introduce two methods of Artificial Intelligence (AI) namely Artificial Neural Networks (ANN) and Adaptive network-based neuro-fuzzy inference system (ANFIS) in modeling the urban road network accessibility. The study also focuses on comparing the results obtained from MLR, ANN and ANFIS modeling techniques in predicting the accessibility. The results of the study present that the structural parameters of the road network have a considerable impact on accessibility. ANFIS method has shown the best performance in modeling the road network accessibility with a MAPE value of 0.287%. The present study adopted Geographical Information Systems (GIS) to quantify, extract and analyze different features of the urban transportation network structure. The combination of GIS, ANN, and ANFIS help in improved decision-making. The results of the study may be used by transportation planning authorities to implement better planning practices in order to improve accessibility.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"27 1","pages":"15 - 28"},"PeriodicalIF":1.4,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78168480","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}
Nikoletta Ntasiou, G. Adamos, Eftihia G. Nathanail
Abstract The ever-increasing use of private vehicles makes Advanced Driver Assistance Systems (ADAS) more necessary as they improve users’ convenience, safety and travel time. Although these systems offer significant advantages, they call into question the traditional role of users, making the psychology of drivers towards these technologies a necessary factor for their adoption. The purpose of this paper is to investigate the effects of psychological factors on the use of one of the most widely used ADAS, the Global Navigation Satellite Systems (GNSS). Towards this direction, a literature review was conducted to identify the factors that influence drivers’ behavior and the psychology of drivers towards new technologies. Furthermore, a questionnaire survey was organized in Greece, based on the Theory of Planned Behavior, including additional variables, which were identified in the literature, such as technophilia, trust in technology and endorsement. From the data collected, models predicting the behavior of drivers were developed through structural equation modelling, concerning the use of navigation systems in both urban and interurban networks. The findings of the research reveal that the intention to use a navigation system is determined by various factors such as behavioral beliefs about its usage, normative beliefs and technophilia. The actual use of a navigation system depends to some extent on this intention.
{"title":"Exploring the Effects of Psychological Factors on the Use of Navigation Systems While Driving","authors":"Nikoletta Ntasiou, G. Adamos, Eftihia G. Nathanail","doi":"10.2478/ttj-2021-0009","DOIUrl":"https://doi.org/10.2478/ttj-2021-0009","url":null,"abstract":"Abstract The ever-increasing use of private vehicles makes Advanced Driver Assistance Systems (ADAS) more necessary as they improve users’ convenience, safety and travel time. Although these systems offer significant advantages, they call into question the traditional role of users, making the psychology of drivers towards these technologies a necessary factor for their adoption. The purpose of this paper is to investigate the effects of psychological factors on the use of one of the most widely used ADAS, the Global Navigation Satellite Systems (GNSS). Towards this direction, a literature review was conducted to identify the factors that influence drivers’ behavior and the psychology of drivers towards new technologies. Furthermore, a questionnaire survey was organized in Greece, based on the Theory of Planned Behavior, including additional variables, which were identified in the literature, such as technophilia, trust in technology and endorsement. From the data collected, models predicting the behavior of drivers were developed through structural equation modelling, concerning the use of navigation systems in both urban and interurban networks. The findings of the research reveal that the intention to use a navigation system is determined by various factors such as behavioral beliefs about its usage, normative beliefs and technophilia. The actual use of a navigation system depends to some extent on this intention.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"39 1","pages":"109 - 115"},"PeriodicalIF":1.4,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91058768","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 Since the implementation of Emission Control Areas (ECA) in 2015, investment decisions related to abatement technologies represent a crucial task in the maritime industry. Currently, the focus in the maritime sector is on Sulphur reductions due to SECA regulations and the legislative of Global Sulphur Cap that started in 2020. A special challenge appears in maritime fleet management where sets of ships have to be considered, representing portfolios of assets that have to be equipped with a variety of different options of abatement technologies. Modern portfolio theory has been applied to various economic decisions to achieve an optimal allocation of resources among different investment opportunities. The research investigates and discusses the application of the Markowitz´ optimization in the context of SECA regulations for maritime fleets. The optimal investment portfolios are taking into account the three most important compliance options based on the use of low Sulphur fuel, the use of LNG fuel and the use of HFO with a scrubber. The theoretical results are empirically validated by a case of a shipping line operating 10 vessels.
{"title":"Sustainable Maritime Fleet Management in the Context of Global Sulphur Cap 2020","authors":"S. Atari","doi":"10.2478/ttj-2021-0005","DOIUrl":"https://doi.org/10.2478/ttj-2021-0005","url":null,"abstract":"Abstract Since the implementation of Emission Control Areas (ECA) in 2015, investment decisions related to abatement technologies represent a crucial task in the maritime industry. Currently, the focus in the maritime sector is on Sulphur reductions due to SECA regulations and the legislative of Global Sulphur Cap that started in 2020. A special challenge appears in maritime fleet management where sets of ships have to be considered, representing portfolios of assets that have to be equipped with a variety of different options of abatement technologies. Modern portfolio theory has been applied to various economic decisions to achieve an optimal allocation of resources among different investment opportunities. The research investigates and discusses the application of the Markowitz´ optimization in the context of SECA regulations for maritime fleets. The optimal investment portfolios are taking into account the three most important compliance options based on the use of low Sulphur fuel, the use of LNG fuel and the use of HFO with a scrubber. The theoretical results are empirically validated by a case of a shipping line operating 10 vessels.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"100 1","pages":"53 - 66"},"PeriodicalIF":1.4,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87414846","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 operating condition of bus transit system has not been efficient in most cities of Iran, and many management methods such as regular bus scheduling, assigning exclusive bus lanes, etc., which are necessary for increasing the efficiency of this system, were not regarded enough. Thus, achieving a method for locating the bus stops and optimizing the number of such stops based on a non-homogeneous spatial and temporal distribution of passengers as well as the local traffic patterns are important to be investigated. As such, the present study aims to investigate the modeling of a bus transit system corridor according to the non-homogeneous spatial and temporal distribution of passengers throughout the route aiming at optimization of the number of attracted passengers to the bus. For this purpose, the 8-km route from Vali-e-asr roundabout to Gas roundabout in the city of Rasht in the north of Iran is selected for modeling. Hammersley sampling method, as well as two heuristic optimization techniques, including a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, are used for generating a non-uniform population and solving the optimization model. Therefore, the results of this analysis are compared to the optimization results by using the probabilistic analysis without considering the reference uncertainty. Finally, the PSO is selected as the superior algorithm for modeling and locating the bus stops due to its results in less travel time, and the validity of robust optimization model is shown due to its higher accuracy and adaptation to the real-world environment. Overall, although the optimization results based on indeterminate analysis in comparison to determinate analysis brought about more average travel time, more population sets were covered by the new introduced stops during 18 active hours of the bus transit system.
{"title":"Robust Optimization of Bus Stop Placement Based on Dynamic Demand Using Meta Heuristic Approaches: A Case Study in a Developing Country","authors":"M. Ghasedi, M. Ghorbanzadeh, I. Bargegol","doi":"10.2478/ttj-2021-0004","DOIUrl":"https://doi.org/10.2478/ttj-2021-0004","url":null,"abstract":"Abstract The operating condition of bus transit system has not been efficient in most cities of Iran, and many management methods such as regular bus scheduling, assigning exclusive bus lanes, etc., which are necessary for increasing the efficiency of this system, were not regarded enough. Thus, achieving a method for locating the bus stops and optimizing the number of such stops based on a non-homogeneous spatial and temporal distribution of passengers as well as the local traffic patterns are important to be investigated. As such, the present study aims to investigate the modeling of a bus transit system corridor according to the non-homogeneous spatial and temporal distribution of passengers throughout the route aiming at optimization of the number of attracted passengers to the bus. For this purpose, the 8-km route from Vali-e-asr roundabout to Gas roundabout in the city of Rasht in the north of Iran is selected for modeling. Hammersley sampling method, as well as two heuristic optimization techniques, including a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, are used for generating a non-uniform population and solving the optimization model. Therefore, the results of this analysis are compared to the optimization results by using the probabilistic analysis without considering the reference uncertainty. Finally, the PSO is selected as the superior algorithm for modeling and locating the bus stops due to its results in less travel time, and the validity of robust optimization model is shown due to its higher accuracy and adaptation to the real-world environment. Overall, although the optimization results based on indeterminate analysis in comparison to determinate analysis brought about more average travel time, more population sets were covered by the new introduced stops during 18 active hours of the bus transit system.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"42 1","pages":"39 - 52"},"PeriodicalIF":1.4,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87197093","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 Using a qualitative instrumental case study research design, this study examines the strategies and carbon reduction measures implemented by Sydney Airport to achieve their goal of being a carbon neutral airport by 2025. The study period was from 2013 to 2019. The qualitative data was analyzed using document analysis. Sydney Airport has implemented a wide range of carbon reduction measures that underpin its strategy to become a carbon neutral airport. Sydney Airport’s annual emissions intensity per passenger declined in each year examined in study. Sydney Airport has participated in the Airports Council International Airport Carbon Accreditation Program since 2014 and currently holds Accreditation Level 3: Optimization. Sydney Airport’s goal is to be awarded Accreditation Level 3+: Carbon Neutrality by 2025. Sydney Airport has a carbon offsets agreement in place with a not-for-profit organization.
{"title":"Achieving Carbon Neutral Airport Operations By 2025: The Case of Sydney Airport, Australia","authors":"Glenn Baxter","doi":"10.2478/ttj-2021-0001","DOIUrl":"https://doi.org/10.2478/ttj-2021-0001","url":null,"abstract":"Abstract Using a qualitative instrumental case study research design, this study examines the strategies and carbon reduction measures implemented by Sydney Airport to achieve their goal of being a carbon neutral airport by 2025. The study period was from 2013 to 2019. The qualitative data was analyzed using document analysis. Sydney Airport has implemented a wide range of carbon reduction measures that underpin its strategy to become a carbon neutral airport. Sydney Airport’s annual emissions intensity per passenger declined in each year examined in study. Sydney Airport has participated in the Airports Council International Airport Carbon Accreditation Program since 2014 and currently holds Accreditation Level 3: Optimization. Sydney Airport’s goal is to be awarded Accreditation Level 3+: Carbon Neutrality by 2025. Sydney Airport has a carbon offsets agreement in place with a not-for-profit organization.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"1 1","pages":"1 - 14"},"PeriodicalIF":1.4,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90639704","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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