High-speed Railway最新文献

{"title":"Design and implementation of train-to-train wireless communication in virtual train coupling system","authors":"Weifeng Yang ,&nbsp;Taifu Chen ,&nbsp;Chen Han ,&nbsp;Dong Feng ,&nbsp;Jihui Zhou","doi":"10.1016/j.hspr.2024.08.006","DOIUrl":"10.1016/j.hspr.2024.08.006","url":null,"abstract":"<div><div>This article discusses the detailed examination of the engineering design and implementation process for direct Train-to-Train (T2T) communication within a wireless train backbone network in the context of a virtual coupling scenario. The article proposed several critical aspects, including the optimization of transmission data requirements, which is essential to ensure that communication between trains is efficient and reliable. The design of the T2T wireless communication subsystem is discussed in detail, outlining the technical specifications, protocols, and technologies employed to facilitate wireless communication between multiple trains. Additionally, the article presents a thorough analysis of the data collected during real-world train experiments, highlighting the performance metrics and challenges encountered during testing. This empirical data not only validates the effectiveness of the proposed design but also serves as a crucial reference for future advancements in T2T wireless communication systems. By combining both theoretical principles and practical outcomes, the article offers insights that will aid engineers and researchers in developing robust and efficient wireless communication systems for next-generation train operations.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 137-144"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322102","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":"Passenger choice between demand-responsive train and pre-scheduled train in high-speed railway: A stated preference study","authors":"Tao Li ,&nbsp;Dewei Li ,&nbsp;Yongsheng Wang ,&nbsp;Han Gao ,&nbsp;Jialun Ma ,&nbsp;Haotian Ji","doi":"10.1016/j.hspr.2025.04.002","DOIUrl":"10.1016/j.hspr.2025.04.002","url":null,"abstract":"<div><div>Demand-responsive transportation has been introduced in many cities around the world. However, whether it is applicable in the railway is still questionable, an exploration of passenger choice behavior between demand-responsive trains and pre-scheduled trains is pivotal in addressing this issue. To delve into passengers’ choice preferences when facing demand-responsive trains and to dissect the feasibility of implementing demand-responsive service in high-speed railways, the stated preference survey method is employed to investigate travel intention of passengers. Based on the survey data obtained in China, the heterogeneity of passengers is analyzed from three aspects: personal socio-economic characteristics, travel characteristics, and travel mode choice. Considering the situation that demand-responsive train cannot operate, the risk attributes are considered. To bolster the appeal of demand-responsive trains, personalized service product attributes are added. Mixed Logit mode, which takes into account the heterogeneous travel choice behavior of passengers, is developed, and Maximum Likelihood Estimation and the Monte Carlo method are used to calibrate model parameters. The willingness to pay in terms of different factors of passengers is determined. The results indicate that early arrival deviation time, late arrival deviation time, demand response time, and success rate of ticket purchase remarkable influence passengers’ decision regarding demand-responsive train, with only the success rate of ticket purchase positively impacting train choice. Moreover, the significant difference in train ticket price is observed solely in the self-funded long distance scenario, while demand-responsive trains are found to be particularly appealing in self-funded short distance scenario. Through the Willingness To Pay (WTP) analysis, it is discovered that by shortening demand response time, enhancing the success rate of ticket purchase, and minimizing the deviation times of early arrival and late arrival of trains, the attractiveness of the demand-responsive train to passengers under three travel scenarios can be augmented. This study provides profound insights into the possibility of railway enterprises operating demand-responsive trains.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 125-136"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322103","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":"Shrinking India: Visualizing time-space implication of introduction of semi-high-speed trains in India","authors":"Vimal Kumar Arulmozhi,&nbsp;Shreyas P. Bharule","doi":"10.1016/j.hspr.2024.12.002","DOIUrl":"10.1016/j.hspr.2024.12.002","url":null,"abstract":"<div><div>Indian Railways have been the largest people moving transport infrastructure in India. Over the years the systems and trains have been upgraded resulting in both better passenger amenities and reduction in travel time. The newest addition is the Vande Bharat Express, a semi-high-speed train that was introduced in India in 2019. The train currently runs between 10 routes and has brought significant changes to India’s railway network. This article explores the introduction of Vande Bharat Express trains in India and its effects on the country’s inter-station time-space shrinkage using cartographic techniques. The cartographic techniques like stepwise multi-dimensional scaling and interpolation using the distance cartogram plugin in QGIS are mainly used for generating the time-space maps for various speeds. The limitations of these techniques and the methods to overcome those limitations are also explored in this article.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 93-104"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322095","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":"SPR: Malicious traffic detection model for CTCS-3 in railways","authors":"Siyang Zhou ,&nbsp;Wenjiang Ji ,&nbsp;Xinhong Hei ,&nbsp;Zhongwei Chang ,&nbsp;Yuan Qiu ,&nbsp;Lei Zhu ,&nbsp;Xin Wang","doi":"10.1016/j.hspr.2025.04.001","DOIUrl":"10.1016/j.hspr.2025.04.001","url":null,"abstract":"<div><div>The increasingly complex and interconnected train control information network is vulnerable to a variety of malicious traffic attacks, and the existing malicious traffic detection methods mainly rely on machine learning, such as poor robustness, weak generalization, and a lack of ability to learn common features. Therefore, this paper proposes a malicious traffic identification method based on stacked sparse denoising autoencoders combined with a regularized extreme learning machine through particle swarm optimization. Firstly, the simulation environment of the Chinese train control system-3, was constructed for data acquisition. Then Pearson coefficient and other methods are used for pre-processing, then a stacked sparse denoising autoencoder is used to achieve nonlinear dimensionality reduction of features, and finally regularization extreme learning machine optimized by particle swarm optimization is used to achieve classification. Experimental data show that the proposed method has good training performance, with an average accuracy of 97.57 % and a false negative rate of 2.43 %, which is better than other alternative methods. In addition, ablation experiments were performed to evaluate the contribution of each component, and the results showed that the combination of methods was superior to individual methods. To further evaluate the generalization ability of the model in different scenarios, publicly available data sets of industrial control system networks were used. The results show that the model has robust detection capability in various types of network attacks.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 105-115"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322096","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":"Zero on-site testing on GNSS for train control towards digital railways","authors":"Debiao Lu ,&nbsp;Wenzheng Qiao ,&nbsp;Baigen Cai ,&nbsp;Jian Wang ,&nbsp;Jiang Liu ,&nbsp;Yuchen Zhao ,&nbsp;Chunjie Qiao ,&nbsp;Dirk Spiegel","doi":"10.1016/j.hspr.2025.05.003","DOIUrl":"10.1016/j.hspr.2025.05.003","url":null,"abstract":"<div><div>The integration of Global Navigation Satellite System (GNSS) technology into railway train control systems is a crucial step toward achieving the vision of a digital railway. Traditional train control systems undergo extensive in-house tests and prolonged field tests for certification and approval before operational deployment, leading to high costs, delays, and operational disruptions. This paper introduces a GNSS-based train control localization framework which eliminates the need for on-site testing by leveraging train movement dynamics and 3D environment modeling to create a zero on-site testing platform. The proposed framework simulates train movement and the surrounding 3D environment using collected railway line location data and environmental attributes to generate realistic multipath signals and obscuration effects. This approach enables comprehensive laboratory-based case studies for train localization, reducing the huge amount test of needed for physical field trials. The framework is established in house, using the data collected at the Test Base of China Academy of Railway Sciences (Circular Railway). Results from the open area and cutting environment tests demonstrate high localization accuracy repeatability within the simulated environment, validating the feasibility and effectiveness of zero on-site testing for GNSS-based train control systems. This research highlights the potential of GNSS simulation platforms in enhancing cost efficiency, operational safety, and accuracy for future digital railways.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 116-124"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322101","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":"Step-heating thermography NDT for new composite high-speed rail carbodies","authors":"Alkiviadis Tromaras,&nbsp;Vassilios Kappatos,&nbsp;Evangelos D. Spyrou","doi":"10.1016/j.hspr.2025.02.002","DOIUrl":"10.1016/j.hspr.2025.02.002","url":null,"abstract":"<div><div>The motivation of this paper is to explore the application of Step-Heating Thermography (SHT) as a technique capable of inspecting new composite rail carbodies using demanding requirements set by the rail manufacturing industry. A large composite sample, with Polytetrafluoroethylene (PTFE) artificial defects, replicating a side-wall section of a new rail carbody, was manufactured and inspected for surface and subsurface defects in this research. The sample, characterized by its large thickness, consists of a monolithic Carbon Fibre Reinforced Polymers (CFRP) component (20 mm thickness) and a CFRP-PET foam-CFRP sandwich (40 mm total thickness) component fused together. The main challenge of the inspection procedure was to apply reflection mode thermography and detect defects in the entire thickness of the sample that exhibits both low emissivity and thermal insulating properties, especially at the sandwich sections of the sample. The paper explored thermography procedures that would be able to detect large numbers of defects under one single acquisition and would be applied under an automated inspection process leading to the detection of defects only up to 5 mm in the CFRP sections of the sample while no defects were able to be detected at the back skin of the sample.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 145-154"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322104","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":"5G network planning in connecting urban areas for trains service using a genetic algorithm","authors":"Evangelos D. Spyrou,&nbsp;Vassilios Kappatos","doi":"10.1016/j.hspr.2025.04.003","DOIUrl":"10.1016/j.hspr.2025.04.003","url":null,"abstract":"<div><div>The adoption of 5G for Railways (5G-R) is expanding, particularly in high-speed trains, due to the benefits offered by 5G technology. High-speed trains must provide seamless connectivity and Quality of Service (QoS) to ensure passengers have a satisfactory experience throughout their journey. Installing base stations along urban environments can improve coverage but can dramatically reduce the experience of users due to interference. In particular, when a user with a mobile phone is a passenger in a high speed train traversing between urban centres, the coverage and the 5G resources in general need to be adequate not to diminish her experience of the service. The utilization of macro, pico, and femto cells may optimize the utilization of 5G resources. In this paper, a Genetic Algorithm (GA)-based approach to address the challenges of 5G network planning for 5G-R services is presented. The network is divided into three cell types, macro, pico, and femto cells—and the optimization process is designed to achieve a balance between key objectives: providing comprehensive coverage, minimizing interference, and maximizing energy efficiency. The study focuses on environments with high user density, such as high-speed trains, where reliable and high-quality connectivity is critical. Through simulations, the effectiveness of the GA-driven framework in optimizing coverage and performance in such scenarios is demonstrated. The algorithm is compared with the Particle Swarm Optimisation (PSO) and the Simulated Annealing (SA) methods and interesting insights emerged. The GA offers a strong balance between coverage and efficiency, achieving significantly higher coverage than PSO while maintaining competitive energy efficiency and interference levels. Its steady fitness improvement and adaptability make it well-suited for scenarios where wide coverage is a priority alongside acceptable performance trade-offs.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 155-162"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322093","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":"Nondestructive testing methods for rail defects detection","authors":"Ravikant Mordia ,&nbsp;Arvind Kumar Verma","doi":"10.1016/j.hspr.2025.03.001","DOIUrl":"10.1016/j.hspr.2025.03.001","url":null,"abstract":"<div><div>The rapid progress in the construction of heavy-haul and high-speed railways has led to a surge in rail defects and unforeseen failures. Addressing this issue necessitates the implementation of more sophisticated rail inspection methods, specifically involving real-time, precise detection, and assessment of rail defects. Current applications fail to address the evolving requirements, prompting the need for advancements. This paper provides a summary of various types of rail defects and outlines both traditional and innovative non-destructive inspection techniques, examining their fundamental features, benefits, drawbacks, and practical suitability for railway track inspection. It also explores potential enhancements to equipment and software. The comprehensive review draws upon pertinent international research and review papers. Furthermore, the paper introduces a fusion of inspection methods aimed at enhancing the overall reliability of defect detection.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 2","pages":"Pages 163-173"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322094","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":"Exploration and practice of high speed EMU digital train based on digital twin","authors":"Wei Dong ,&nbsp;Kexin Sun ,&nbsp;Bochuan Ding ,&nbsp;Jilei Yin","doi":"10.1016/j.hspr.2025.01.004","DOIUrl":"10.1016/j.hspr.2025.01.004","url":null,"abstract":"<div><div>Digital twin is one of the key technologies driving the digitalization and intelligence of railway transportation equipment. The development of enabling technologies such as big data, industrial internet of things, and artificial intelligence has facilitated the deep integration of digital twin technology with railway transportation, promoting the high-quality development of the railway transportation industry. This paper studies the design, manufacturing, operation, and maintenance scenarios and requirements of high-speed train sets. Based on the current status of the application and development trends of digital twin technology, it proposes the overall architecture and functional architecture of a digital train for high-speed train sets. The paper also presents the engineering implementation of key high-speed train set bogie systems, providing valuable information for the future construction of digital trains for high-speed train sets.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 1","pages":"Pages 54-63"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anti-spoofing performance analysis of typical GNSS-based railway train positioning schemes","authors":"Siqi Wang ,&nbsp;Jiang Liu ,&nbsp;Baigen Cai ,&nbsp;Jian Wang ,&nbsp;Debiao Lu ,&nbsp;Wei Jiang","doi":"10.1016/j.hspr.2025.01.005","DOIUrl":"10.1016/j.hspr.2025.01.005","url":null,"abstract":"<div><div>Global Navigation Satellite Systems (GNSSs) are vulnerable to both unintentional interference and intentional attacks, making it difficult to meet the stringent safety requirements of railway train control systems. The growing threat to information security posed by spoofing attacks has received limited attention. This study investigates the impact of GNSS spoofing attacks on train positioning, emphasizing their detrimental effects on the accuracy and availability of train location report functions for train operation control. To explore the anti-spoofing performance of typical GNSS-based train positioning schemes, specific approaches, and system architectures are designed under two GNSS-alone and two GNSS-integrated train positioning schemes. Field data are utilized to establish spoofing attack scenarios for GNSS-based train positioning, with which the anti-spoofing capabilities of different train positioning schemes are evaluated. Experimental results indicate that under specific conditions, the GNSS-integrated positioning schemes demonstrate superior GNSS spoofing suppression capabilities. Results of the tests present valuable guidance for designers and manufacturers in developing more advanced and resilient train positioning solutions and equipment for the next generation of train control systems, thereby promoting the applications of GNSS technology in railway systems.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 1","pages":"Pages 37-43"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}