Pub Date : 2018-06-01DOI: 10.7708/ijtte.2018.8(3).07
Glenn Baxter, P. Srisaeng, G. Wild
Airports play a vital role in the global air transport industry facilitating the interchange between the air and surface transport modes. The growth in passenger and air cargo traffic has resulted in increased energy requirements that airports need to satisfy. Airports are extremely energy intensive. To mitigate the environmental impact from energy consumption, airports have introduced a wide range of energy saving measures. Using a longitudinal case study research design, this study examines Osaka’s Kansai International Airport sustainable energy management, energy sources, energy consumption and the methods and technologies that have been implemented to mitigate the environmental impact of energy at the airport. The study period was from 2002 until 2015. The qualitative data was examined by document analysis. Electricity, natural gas, hydrogen and wind power are the airports principal energy sources. Despite the growth in passengers and aircraft movements, the airport has been able to reduce its energy consumption. Energy-saving initiatives including the use of hydrogen, solar, and wind power, fixed electrical ground power for aircraft, widespread use of LED lighting, more efficient use of air conditioning systems and ceiling fans, and the use of low emission vehicles.
{"title":"SUSTAINABLE AIRPORT ENERGY MANAGEMENT: THE CASE OF KANSAI INTERNATIONAL AIRPORT","authors":"Glenn Baxter, P. Srisaeng, G. Wild","doi":"10.7708/ijtte.2018.8(3).07","DOIUrl":"https://doi.org/10.7708/ijtte.2018.8(3).07","url":null,"abstract":"Airports play a vital role in the global air transport industry facilitating the interchange between the air and surface transport modes. The growth in passenger and air cargo traffic has resulted in increased energy requirements that airports need to satisfy. Airports are extremely energy intensive. To mitigate the environmental impact from energy consumption, airports have introduced a wide range of energy saving measures. Using a longitudinal case study research design, this study examines Osaka’s Kansai International Airport sustainable energy management, energy sources, energy consumption and the methods and technologies that have been implemented to mitigate the environmental impact of energy at the airport. The study period was from 2002 until 2015. The qualitative data was examined by document analysis. Electricity, natural gas, hydrogen and wind power are the airports principal energy sources. Despite the growth in passengers and aircraft movements, the airport has been able to reduce its energy consumption. Energy-saving initiatives including the use of hydrogen, solar, and wind power, fixed electrical ground power for aircraft, widespread use of LED lighting, more efficient use of air conditioning systems and ceiling fans, and the use of low emission vehicles.","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115741162","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}
Pub Date : 2018-06-01DOI: 10.7708/ijtte.2018.8(3).05
{"title":"EVALUATION OF DELAY CHARACTERISTICS AT SIGNALIZED INTERSECTIONS FOR IMPROVEMENT IN LEVEL OF SERVICE","authors":"","doi":"10.7708/ijtte.2018.8(3).05","DOIUrl":"https://doi.org/10.7708/ijtte.2018.8(3).05","url":null,"abstract":"","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128800752","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}
Pub Date : 2018-06-01DOI: 10.7708/ijtte.2018.8(3).08
{"title":"WEB SURVEY DATA AND COMMUTER MODE CHOICE ANALYSIS USING ARTIFICIAL NEURAL NETWORK","authors":"","doi":"10.7708/ijtte.2018.8(3).08","DOIUrl":"https://doi.org/10.7708/ijtte.2018.8(3).08","url":null,"abstract":"","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123181519","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}
Pub Date : 2018-06-01DOI: 10.7708/ijtte.2018.8(3).10
{"title":"FORKLIFT TRUCK SELECTION USING TOPSIS METHOD","authors":"","doi":"10.7708/ijtte.2018.8(3).10","DOIUrl":"https://doi.org/10.7708/ijtte.2018.8(3).10","url":null,"abstract":"","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126522166","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}
Pub Date : 2018-06-01DOI: 10.7708/ijtte.2018.8(3).03
Ivana Rumora, O. Jukic, M. Filic, R. Filjar
The adverse and rapidly changing weather conditions during a Mediterranean cyclone (medicane) pose a serious threat to maritime navigation in general. Additionally, failure in correction for GNSS signal tropospheric delay was supposed to significantly degrade the quality of GNSS-based position estimation. Here we present the study results aimed at determination of GPS positioning performance quality and GPS tropospheric error based on experimental observation during the November 2017 medicane. We found identifiable degradation of GPS positioning performance due to medicane-caused tropospheric delay, and propose corrective actions aimed at maintaining GPS positioning performance resilience for several classes of GNSS maritime applications.
{"title":"A STUDY OF GPS POSITIONING ERROR ASSOCIATED WITH TROPOSPHERIC DELAY DURING NUMA MEDITERRANEAN CYCLONE","authors":"Ivana Rumora, O. Jukic, M. Filic, R. Filjar","doi":"10.7708/ijtte.2018.8(3).03","DOIUrl":"https://doi.org/10.7708/ijtte.2018.8(3).03","url":null,"abstract":"The adverse and rapidly changing weather conditions during a Mediterranean cyclone (medicane) pose a serious threat to maritime navigation in general. Additionally, failure in correction for GNSS signal tropospheric delay was supposed to significantly degrade the quality of GNSS-based position estimation. Here we present the study results aimed at determination of GPS positioning performance quality and GPS tropospheric error based on experimental observation during the November 2017 medicane. We found identifiable degradation of GPS positioning performance due to medicane-caused tropospheric delay, and propose corrective actions aimed at maintaining GPS positioning performance resilience for several classes of GNSS maritime applications.","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121395065","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}
Pub Date : 2017-08-12DOI: 10.7708/ijtte.2017.7(3).07
R. Shad, S. Rahimi
{"title":"IDENTIFICATION OF ROAD CRASH BLACK-SITES USING GEOGRAPHICAL INFORMATION SYSTEM","authors":"R. Shad, S. Rahimi","doi":"10.7708/ijtte.2017.7(3).07","DOIUrl":"https://doi.org/10.7708/ijtte.2017.7(3).07","url":null,"abstract":"","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133614205","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}
Increased competition within global airline industry initiates consolidation activities on entering into different modes of cooperative arrangements including, franchising, code share agreements, alliances, mergers and acquisitions. Selecting the optimal business model means implementation of sustainable competitive strategy as one of the key airline business challenges. Characteristics and trends in airline competition worldwide were analyzed by using correlation and regression metrics. European air transport competition analyzes include specific Southeast Europe topics. The liberalization of the Croatian air transport market has significantly affected the increase in demand in the international scheduled passenger traffic from the year 2004. Air transport in Croatia is growing much faster compare to the maritime and land transport sectors. A significant structural change in the aviation market due to the strong increase of low-cost carriers share in international scheduled traffic occurs. At the same time, the share of domestic scheduled and charter transportation is stagnating. Croatia Airlines in restructuring process provided in the period 2011 2015 recognized necessity to justify market position through optimal network strategy.
{"title":"Air Transport Competition Challenges","authors":"Ružica Škurla Babić, Mirko Tatalović, Jasmin Bajić","doi":"10.7708/IJTTE.2017.7(2).01","DOIUrl":"https://doi.org/10.7708/IJTTE.2017.7(2).01","url":null,"abstract":"Increased competition within global airline industry initiates consolidation activities on entering into different modes of cooperative arrangements including, franchising, code share agreements, alliances, mergers and acquisitions. Selecting the optimal business model means implementation of sustainable competitive strategy as one of the key airline business challenges. Characteristics and trends in airline competition worldwide were analyzed by using correlation and regression metrics. European air transport competition analyzes include specific Southeast Europe topics. The liberalization of the Croatian air transport market has significantly affected the increase in demand in the international scheduled passenger traffic from the year 2004. Air transport in Croatia is growing much faster compare to the maritime and land transport sectors. A significant structural change in the aviation market due to the strong increase of low-cost carriers share in international scheduled traffic occurs. At the same time, the share of domestic scheduled and charter transportation is stagnating. Croatia Airlines in restructuring process provided in the period 2011 2015 recognized necessity to justify market position through optimal network strategy.","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196061","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}
Pub Date : 2017-03-19DOI: 10.7708/ijtte.2017.7(1).08
M. I. Balya, Rakesh Kumar
{"title":"Proposed Integrated Bicycle Feeder Mode Service Analysis for Bus Rapid Transit System--A Multinomial Logit Model Approach","authors":"M. I. Balya, Rakesh Kumar","doi":"10.7708/ijtte.2017.7(1).08","DOIUrl":"https://doi.org/10.7708/ijtte.2017.7(1).08","url":null,"abstract":"","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122277070","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}
Pub Date : 2017-03-19DOI: 10.7708/IJTTE.2017.7(1).09
Ali Soltani-Sobh, Marija Ostojic, A. Stevanovic, Jiaqi Ma, David K. Hale
Urban congestion is being increased by a rapid growth in travel demand and a limited ability to expand physical infrastructure. If transportation agencies could accurately quantify the impacts of various congestion causes, they would be able to prioritize their strategies more efficiently. The Federal Highway Administration developed a well-known congestion causal pie chart in 2004, but this development process did not have extensive access to field data. Recent advancements in both traffic measurement technologies and data-driven analysis are making it possible to quantify congestion impacts more accurately. However, an assessment of congestion causes on signalized arterials presents many challenges, due to complexity of the required data and the interaction of traffic demand and control. The objective of this study is to create congestion pie charts which demonstrate the proportion of average experienced delay components on arterial corridors. A multivariate linear regression model of observed delay is used to demonstrate contributing factors to arterial street congestion. The methodology is explained using a section of Broward Boulevard in Fort Lauderdale, FL. The findings from the model demonstrate that a considerable part of arterial congestion can be attributed to travel demands and intersection signals.
{"title":"DEVELOPMENT OF CONGESTION CAUSAL PIE CHARTS FOR ARTERIAL ROADWAYS","authors":"Ali Soltani-Sobh, Marija Ostojic, A. Stevanovic, Jiaqi Ma, David K. Hale","doi":"10.7708/IJTTE.2017.7(1).09","DOIUrl":"https://doi.org/10.7708/IJTTE.2017.7(1).09","url":null,"abstract":"Urban congestion is being increased by a rapid growth in travel demand and a limited ability to expand physical infrastructure. If transportation agencies could accurately quantify the impacts of various congestion causes, they would be able to prioritize their strategies more efficiently. The Federal Highway Administration developed a well-known congestion causal pie chart in 2004, but this development process did not have extensive access to field data. Recent advancements in both traffic measurement technologies and data-driven analysis are making it possible to quantify congestion impacts more accurately. However, an assessment of congestion causes on signalized arterials presents many challenges, due to complexity of the required data and the interaction of traffic demand and control. The objective of this study is to create congestion pie charts which demonstrate the proportion of average experienced delay components on arterial corridors. A multivariate linear regression model of observed delay is used to demonstrate contributing factors to arterial street congestion. The methodology is explained using a section of Broward Boulevard in Fort Lauderdale, FL. The findings from the model demonstrate that a considerable part of arterial congestion can be attributed to travel demands and intersection signals.","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115844620","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}
Pub Date : 2017-03-19DOI: 10.7708/IJTTE.2017.7(1).06
S. Barua, Nazmul Haque, Anik Das, Hadiuzzaman, Sanjana Hossain
LIMB (Likelihood Identification for Multi-regime models’ Breakpoint), a new tool, is developed to calibrate various Fundamental diagrams (FDs) under different road geometric and traffic operational conditions. This tool enables to estimate traffic state from real time data and is ready to implement into model based control strategy. Since efficient traffic management or control of transportation system remains big challenge due to the necessity of accurate traffic state estimation; model based control strategy incorporated with LIMB tool can ameliorate the complexity. This research found that the breakpoint of multi-regime FD models obtained from experience were not able to estimate traffic state precisely; therefore LIMB was used to calibrate those models. The investigation also endeavored to develop a guideline which was capable to calibrate suitable FD models for lanewise traffic conditions. Our proposed technique is independent of speed limits and completely automatic without any threshold inputs. Furthermore, it is comparable with the well-recognized FD automatic calibration technique. The comparative study found a 5% to 8% variation in estimating FD parameters. Later, we investigated several novel single and multiregime FD models utilizing field traffic data obtained from PeMS website. LIMB adopted likelihood estimation method to identify density at breakpoint in between free flow and congestion states for multi-regime models. It applies least square method to estimate critical density-free flow speed-capacity. The proposed interface is conducive and easily adaptable for transportation practitioners to select the best model based control strategy for smooth and efficient traffic operation.
该文提出了一种新的工具LIMB (Likelihood Identification for Multi-regime models’Breakpoint)，用于标定不同道路几何和交通运行条件下的各种基本图(fd)。该工具能够从实时数据中估计交通状态，并准备实现基于模型的控制策略。由于需要对交通状态进行准确的估计，对交通系统进行有效的交通管理或控制是一个巨大的挑战;结合LIMB工具的基于模型的控制策略可以改善控制的复杂性。研究发现，根据经验得到的多状态FD模型的断点不能准确估计交通状态;因此，使用LIMB来校准这些模型。调查亦致力制订指引，以校正适合车道交通情况的FD模型。我们提出的技术是独立于速度限制和完全自动没有任何阈值输入。此外，它与公认的FD自动校准技术具有可比性。对比研究发现，FD参数的估计有5%到8%的差异。随后，我们利用从PeMS网站获得的现场交通数据研究了几种新的单区和多区FD模型。对于多状态模型，LIMB采用似然估计方法识别自由流和拥堵状态之间的断点密度。采用最小二乘法估计临界无密度流速度-容量。该接口便于交通从业者选择最优的基于模型的控制策略，以实现交通的平稳高效运行。
{"title":"AUTOMATIC MULTIREGIME FUNDAMENTAL DIAGRAM CALIBRATION USING LIKELIHOOD ESTIMATION","authors":"S. Barua, Nazmul Haque, Anik Das, Hadiuzzaman, Sanjana Hossain","doi":"10.7708/IJTTE.2017.7(1).06","DOIUrl":"https://doi.org/10.7708/IJTTE.2017.7(1).06","url":null,"abstract":"LIMB (Likelihood Identification for Multi-regime models’ Breakpoint), a new tool, is developed to calibrate various Fundamental diagrams (FDs) under different road geometric and traffic operational conditions. This tool enables to estimate traffic state from real time data and is ready to implement into model based control strategy. Since efficient traffic management or control of transportation system remains big challenge due to the necessity of accurate traffic state estimation; model based control strategy incorporated with LIMB tool can ameliorate the complexity. This research found that the breakpoint of multi-regime FD models obtained from experience were not able to estimate traffic state precisely; therefore LIMB was used to calibrate those models. The investigation also endeavored to develop a guideline which was capable to calibrate suitable FD models for lanewise traffic conditions. Our proposed technique is independent of speed limits and completely automatic without any threshold inputs. Furthermore, it is comparable with the well-recognized FD automatic calibration technique. The comparative study found a 5% to 8% variation in estimating FD parameters. Later, we investigated several novel single and multiregime FD models utilizing field traffic data obtained from PeMS website. LIMB adopted likelihood estimation method to identify density at breakpoint in between free flow and congestion states for multi-regime models. It applies least square method to estimate critical density-free flow speed-capacity. The proposed interface is conducive and easily adaptable for transportation practitioners to select the best model based control strategy for smooth and efficient traffic operation.","PeriodicalId":117687,"journal":{"name":"International Journal for Traffic and Transport Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122600626","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：