International Journal of Transportation Science and Technology最新文献

{"title":"Charateristics of ground vibration due to high-speed train","authors":"","doi":"10.55228/jtst.12(4).1-7","DOIUrl":"https://doi.org/10.55228/jtst.12(4).1-7","url":null,"abstract":"A train generates waves in the ground when it runs at high speeds. Because the waves have very small amplitude, it is difficult to study them by direct observation in the field. A suitable way to approach the research problem is to use numerical models. By this approach, the author simulated train-induced waves from which the following vibration characteristics are investigated: surface wave propagation; angle between wavefronts and the train direction; ground displacement pattern along the train; effect of train speed on ground vibrations.","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"5 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72395766","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}

{"title":"Research and recommend the development model of international transshipment port at Cai Mep wharf area, Ba Ria - Vung Tau province","authors":"","doi":"10.55228/jtst.12(4).8-14","DOIUrl":"https://doi.org/10.55228/jtst.12(4).8-14","url":null,"abstract":"Globalization has changed the methods and processes of port operations and forced coastal countries with deep-water ports to exert every effort to leverage their geographical advantages to serve trade flows and benefit from supply and logistics activities by establishing an international transshipment port and is an important \"link\" in the global value chain. In line with this general trend, the Cai Mep port area has been selected and approved for planning as an international hub port based on the decision of the Prime Minister. However, in recent years, the Cai Mep port area has mainly handled Vietnam's import and export goods, and the volume of transshipment cargo through this area only accounts for over 04 percent of the total volume of container cargo through the port, which lags far behind transshipment rate of international hub ports in the world (about 30 – 40 percent). This article is to evaluate some issues in attracting transshipment flows to the Cai Mep port area and research to propose an appropriate management model for this port area, along with suggesting several innovative mechanisms and policies to support the establishment and development of the Cai Mep international hub port.","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86292605","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}

{"title":"Adaptive PID sliding mode controller application to position control of hydraulic system","authors":"","doi":"10.55228/jtst.12(4).26-33","DOIUrl":"https://doi.org/10.55228/jtst.12(4).26-33","url":null,"abstract":"This study proposes a sliding mode controller combined with the direct parameter adjustment method of proportional–integral–derivative (SMCPID) to control a hydraulic cylinder system. A simulation model using a hydraulic cylinder and a damper is set up to verify the results and accuracy of the proposed controller. In the SMCPID controller, a PID controller is used to generate a control signal combined with the sliding plane to stabilize and sustain the sliding mode. Due to the hydraulic system's nonlinear nature, the PID controller's coefficients need to be calculated and adapted according to an adaptive law. The SMCPID controller has been tested and compared with other controllers such as the PID controller, fuzzy controller combined with PID, and fuzzy controller combined with adaptive PID in controlling the position of the cylinder axis for different target paths. Simulation results are performed to verify and analyze the effectiveness of the proposed controller.","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"384 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86514021","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}

{"title":"The effects of leverage on profitability in Vietnamese shipping listed companies","authors":"","doi":"10.55228/jtst.12(4).64-74","DOIUrl":"https://doi.org/10.55228/jtst.12(4).64-74","url":null,"abstract":"In order to identify whether “The financial leverage has an impact on the profitability of shipping enterprises or not?” we will have recommendations, to ensure financial safety and sustainable development for shipping enterprises. This research uses the generalized least squares method (GLS) to verify the relationship between the finance's leverage (DA) and the operating performance (ROA). Panel data from 25 listed companies on 3 stock exchanges in Vietnam, namely HOSE, HNX, and UPCoM, which are operating in shipping, from 2014 to 2022. The variables of this paper are return on assets (ROA), total debt to total assets (DA), company size (SIZE) and company growth (GROWTH), intangible fixed assets (INTANG), and short-term assets/short-term earnings (LIQ). Research results show that the ratio of financial leverage has a negative relationship with ROA, and if a business uses more debt, it has bad results in its business performance. In addition, long-term businesses will have a higher financial leverage ratio.","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87452167","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}

{"title":"Green routing model using multi-modal transportation and ICD network","authors":"","doi":"10.55228/jtst.12(4).75-82","DOIUrl":"https://doi.org/10.55228/jtst.12(4).75-82","url":null,"abstract":"The ICD supports optimizing freight transportation and reducing the pressure on capacity, natural constraints, and external impacts that maritime ports are facing. Furthermore, the ICD network can also help reduce the pollution emitted from logistics operations by prioritizing using environmentally friendly means of transport. The study proposes a model of selecting green multi-modal transportation combined with the use of the ICD network, aimed at increasing the proportion of using rail and waterway transport, rather than only unimodal road transport. Then, this model helps to minimize emissions from logistics operations, including carbon dioxide (CO2), nitric oxide (NOx), sulfur dioxide (SO2), and fine dust (PM) at a minimum cost (considering both emissions and transportation charges). This study provides a useful approach to building green logistics policies for policy-making agencies, as well as supporting decision-making when choosing green transport modes in companies.","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86096063","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}

{"title":"Forecasting long - term container port throughput with a regression model: Case of Dong Nai Port - 2050","authors":"","doi":"10.55228/jtst.12(4).15-25","DOIUrl":"https://doi.org/10.55228/jtst.12(4).15-25","url":null,"abstract":"The forecast of cargo through the port is not only important for port management but also important for infrastructure planning. In recent years, sea container freight has increased quickly. Therefore, the container is through port forecasting models. The research builds long-term containers through port forecasting models applied to the Dong Nai port as a reference. The study has established correlations between important economic indicators from 2010 to 2020, such as total local product, total export and import turnover, industrial, agricultural value, and foreign direct investment with container volume to build a forecasting model. The model is validated by hindcasting containers through Dong Nai port in 2021, and a suitable forecasting model is selected to forecast the container volume until 2050.","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"112 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87866675","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}

{"title":"Impact of connected corridor volume data imputations on digital twin performance measures","authors":"Abhilasha J. Saroj ,&nbsp;Somdut Roy ,&nbsp;Angshuman Guin ,&nbsp;Michael Hunter","doi":"10.1016/j.ijtst.2022.05.001","DOIUrl":"10.1016/j.ijtst.2022.05.001","url":null,"abstract":"<div><p>To fully leverage “smart” transportation infrastructure data-stream investments, the creation of applications that provide real-time meaningful and actionable corridor-performance metrics is needed. However, the presence of gaps in data streams can lead to significant application implementation challenges. To demonstrate and help address these challenges, a digital twin smart-corridor application case study is presented with two primary research objectives: (1) explore the characteristics of volume data gaps on the case study corridor, and (2) investigate the feasibility of prioritizing data streams for data imputation to drive the real-time application. For the first objective, a K-means clustering analysis is used to identify similarities and differences among data gap patterns. The clustering analysis successfully identifies eight different data loss patterns. Patterns vary in both continuity and density of data gap occurrences, as well as time-dependent losses in several clusters. For the second objective, a temporal-neighboring interpolation approach for volume data imputation is explored. When investigating the use of temporal-neighboring interpolation imputations on the digital twin application, performance is, in part, dependent on the combination of intersection approaches experiencing data loss, demand relative to capacity at individual locations, and the location of the loss along the corridor. The results indicate that these insights could be used to prioritize intersection approaches suitable for data imputation and to identify locations that require a more sensitive imputation methodology or improved maintenance and monitoring.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"12 2","pages":"Pages 476-491"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45447025","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}

{"title":"LTPP data-based investigation on asphalt pavement performance using geospatial hot spot analysis and decision tree models","authors":"Kun Zhang ,&nbsp;Zhongren Wang","doi":"10.1016/j.ijtst.2022.06.007","DOIUrl":"10.1016/j.ijtst.2022.06.007","url":null,"abstract":"<div><p>Environmental factors and truck traffic loads have significant impacts on asphalt pavement performance. This study implements geospatial hot spot, correlation, and decision tree analyses to investigate the impacts of environmental factors and truck traffic loads on asphalt pavement performance. A pavement database with 1725 asphalt pavement sections from the Long-Term Pavement Performance (LTPP) program was built and analyzed using geospatial hot spot analysis to characterize the spatial patterns of environmental factors, truck traffic loads, and asphalt pavement distresses in different climatic regions across the United States and Canada. The statistical correlation analysis was conducted to identify significant correlations among hot spots of environmental factors, truck traffic loads, and asphalt pavement distresses. The decision tree model, which is a supervised machine learning method, was used to assess pavement performance in an area that is associated with higher risks of distress based on contributing environmental and traffic conditions. The hot spot analysis showed that the pavement sections located in the dry no-freeze region had higher percentages of hot spots of truck traffic loads and associated load-induced distresses, such as fatigue cracking, longitudinal wheel path cracking, and rutting. In the dry no-freeze region, higher percentages of pavement sections were also classified as hot spots of transverse cracking. The pavement sections in the wet freeze region are more likely to experience longitudinal non-wheel path cracking and surface roughness. The decision tree models were built to identify the likeliness of hot spots of asphalt pavement distresses using environmental factors and truck traffic loads. These decision tree models provide enhanced decision-making information in pavement design and maintenance.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"12 2","pages":"Pages 606-627"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43096769","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}

{"title":"A fuzzy expert system for setting Brazilian highway speed limits","authors":"Gabriel Lanzaro ,&nbsp;Michelle Andrade","doi":"10.1016/j.ijtst.2022.05.003","DOIUrl":"10.1016/j.ijtst.2022.05.003","url":null,"abstract":"<div><p>Speed limits should provide a balance between safety and traffic flow. However, setting a speed limit generally involves selecting a base speed (e.g., operational speed, design speed) and adjusting it with several other variables. For example, in Brazil, the standard guidelines list a series of factors that influence speed limits, but they do not provide a clear methodology to choose a speed limit for a highway segment. Therefore, under current Brazilian practice, the decision-maker is faced with a subject decision that mostly relies on expert judgment. This paper proposes a fuzzy expert system for setting Brazilian highway speed limits. Six input variables are considered in the system. Membership functions and fuzzy rules were extracted from experts’ evaluations of simulated highway scenarios. The experts evaluated the scenarios using linguistic variables and proposed speed limits. Then, a Mamdani fuzzy controller was developed. The outputs of the controller were compared to the expert’s answers for the simulated highway scenarios. The system was further validated considering two case studies of highway sections in Brazil. Results showed that the fuzzy system is able to provide outputs that agree with the experts’ evaluations and with the existing speed limits. The fuzzy controller developed in this study can be used to assist practitioners in setting highway speed limits on Brazilian highways.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"12 2","pages":"Pages 505-524"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47360438","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}

{"title":"Mode shift behaviour and user willingness to adopt the electric two-wheeler: A study based on Indian road user preferences","authors":"Manivel Murugan ,&nbsp;Sankaran Marisamynathan","doi":"10.1016/j.ijtst.2022.03.008","DOIUrl":"10.1016/j.ijtst.2022.03.008","url":null,"abstract":"<div><p>As per statistics, two-wheeler (TW) alone shares the highest number of vehicle registrations in India, which develops the various transportation-related issues such as traffic conflicts, congestions, and pollutions. Electric two-wheelers (E-TW) are a better alternative to conventional two-wheelers because of their significant advantage in mitigating environmental impacts. But E-TWs are less attractive among road users due to unawareness of the benefits of E-TW. In addition, the traditional methods are less accurate in predicting users' mode choice behavior because of their limitations. Therefore, there is a need to conduct a study to understand the road user's willingness to adopt E-TW and find a suitable method for predicting mode choice behavior accurately. This study analyzes the Indian road users encouraging and discouraging factors to adopt E-TW and investigates the application of non-traditional models for estimating mode shift behaviour towards E-TW. Based on the literature review and expert opinion, a detailed questionnaire form was framed, and a total of 522 samples were collected from four states of India. The data findings show that Indian road users prefer TW compared to public transport, private four-wheeler, paratransit, and non-motorized transport because of its easy to ride, low maintenance, fast and convenient travel nature. The environmental concern of reducing air pollution and lower vehicle operating costs are significant factors that encourage E-TW adoption. However, the non-availability of charging infrastructure, lower speed, higher initial purchase cost, and lack of awareness about EVs are the significant discouraging factors in adopting E-TW in India. Further, Machine Learning (ML) methods were adopted to predict the mode shift behaviour from the fuel based TW to E-TW, and the results were compared with the Binary Logit (BL) method. The model results indicated that Support vector machine predicted the mode shift behavior with the highest accuracy rate compared with other methods such as Artificial Neural Network, K-Nearest Neighbor, Random Forest, and BL. The outcome of this study would help the transportation planner, EV manufacturers, researchers, and policymakers to understand the Indian user's preference to adopt E-TW.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"12 2","pages":"Pages 428-446"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41836114","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}