High-speed Railway最新文献_第2页

Shrinking India: Visualizing time-space implication of introduction of semi-high-speed trains in India 缩小的印度：想象在印度引入半高速列车的时空影响

High-speed Railway Pub Date : 2025-06-01 DOI: 10.1016/j.hspr.2024.12.002

Vimal Kumar Arulmozhi, Shreyas P. Bharule

引用次数: 0

SPR: Malicious traffic detection model for CTCS-3 in railways SPR：铁路CTCS-3恶意流量检测模型

High-speed Railway Pub Date : 2025-06-01 DOI: 10.1016/j.hspr.2025.04.001

Siyang Zhou , Wenjiang Ji , Xinhong Hei , Zhongwei Chang , Yuan Qiu , Lei Zhu , Xin Wang

{"title":"SPR: Malicious traffic detection model for CTCS-3 in railways","authors":"Siyang Zhou , Wenjiang Ji , Xinhong Hei , Zhongwei Chang , Yuan Qiu , Lei Zhu , 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}

引用次数: 0

Zero on-site testing on GNSS for train control towards digital railways 面向数字铁路的列车控制GNSS零现场测试

High-speed Railway Pub Date : 2025-06-01 DOI: 10.1016/j.hspr.2025.05.003

Debiao Lu , Wenzheng Qiao , Baigen Cai , Jian Wang , Jiang Liu , Yuchen Zhao , Chunjie Qiao , Dirk Spiegel

{"title":"Zero on-site testing on GNSS for train control towards digital railways","authors":"Debiao Lu , Wenzheng Qiao , Baigen Cai , Jian Wang , Jiang Liu , Yuchen Zhao , Chunjie Qiao , 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}

引用次数: 0

Step-heating thermography NDT for new composite high-speed rail carbodies 新型复合材料高速铁路车体的阶梯加热热成像无损检测

High-speed Railway Pub Date : 2025-06-01 DOI: 10.1016/j.hspr.2025.02.002

Alkiviadis Tromaras, Vassilios Kappatos, Evangelos D. Spyrou

{"title":"Step-heating thermography NDT for new composite high-speed rail carbodies","authors":"Alkiviadis Tromaras, Vassilios Kappatos, 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}

引用次数: 0

5G network planning in connecting urban areas for trains service using a genetic algorithm 利用遗传算法连接城市地区的5G网络规划

High-speed Railway Pub Date : 2025-06-01 DOI: 10.1016/j.hspr.2025.04.003

Evangelos D. Spyrou, Vassilios Kappatos

{"title":"5G network planning in connecting urban areas for trains service using a genetic algorithm","authors":"Evangelos D. Spyrou, 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}

引用次数: 0

Nondestructive testing methods for rail defects detection 钢轨缺陷检测的无损检测方法

High-speed Railway Pub Date : 2025-06-01 DOI: 10.1016/j.hspr.2025.03.001

Ravikant Mordia , Arvind Kumar Verma

引用次数: 0

Exploration and practice of high speed EMU digital train based on digital twin 基于数字孪生的高速动车组数字列车的探索与实践

High-speed Railway Pub Date : 2025-03-01 DOI: 10.1016/j.hspr.2025.01.004

Wei Dong , Kexin Sun , Bochuan Ding , Jilei Yin

引用次数: 0

Anti-spoofing performance analysis of typical GNSS-based railway train positioning schemes 基于gnss的典型铁路列车定位方案的抗欺骗性能分析

High-speed Railway Pub Date : 2025-03-01 DOI: 10.1016/j.hspr.2025.01.005

Siqi Wang , Jiang Liu , Baigen Cai , Jian Wang , Debiao Lu , Wei Jiang

{"title":"Anti-spoofing performance analysis of typical GNSS-based railway train positioning schemes","authors":"Siqi Wang , Jiang Liu , Baigen Cai , Jian Wang , Debiao Lu , 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}

引用次数: 0

Intelligent human-computer interactive training assistant system for rail systems 铁路系统智能人机交互训练辅助系统

High-speed Railway Pub Date : 2025-03-01 DOI: 10.1016/j.hspr.2025.02.001

Yuexuan Li , Junhua Chen , Xiangyong Luo , Han Zheng

{"title":"Intelligent human-computer interactive training assistant system for rail systems","authors":"Yuexuan Li , Junhua Chen , Xiangyong Luo , Han Zheng","doi":"10.1016/j.hspr.2025.02.001","DOIUrl":"10.1016/j.hspr.2025.02.001","url":null,"abstract":"<div><div>In recent years, railway construction in China has developed vigorously. With continuous improvements in the high-speed railway network, the focus is gradually shifting from large-scale construction to large-scale operations. However, several challenges have emerged within the high-speed railway dispatching and command system, including the heavy workload faced by dispatchers, the difficulty of quantifying subjective expertise, and the need for effective training of professionals. Amid the growing application of artificial intelligence technologies in railway systems, this study leverages Large Language Model (LLM) technology. LLMs bring enhanced intelligence, predictive capabilities, robust memory, and adaptability to diverse real-world scenarios. This study proposes a human-computer interactive intelligent scheduling auxiliary training system built on LLM technology. The system offers capabilities including natural dialogue, knowledge reasoning, and human feedback learning. With broad applicability, the system is suitable for vocational education, guided inquiry, knowledge-based Q&A, and other training scenarios. Validation results demonstrate its effectiveness in auxiliary training, providing substantial support for educators, students, and dispatching personnel in colleges and professional settings.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 1","pages":"Pages 64-77"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739358","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}

引用次数: 0

Study on structure-borne noise characteristics and noise reduction of “integrated station-bridge” high-speed railway station 高铁“站桥一体”车站结构噪声特性及降噪研究

High-speed Railway Pub Date : 2025-03-01 DOI: 10.1016/j.hspr.2025.01.001

Bowen Hou , Xinhao Liang , Di Wang

{"title":"Study on structure-borne noise characteristics and noise reduction of “integrated station-bridge” high-speed railway station","authors":"Bowen Hou , Xinhao Liang , Di Wang","doi":"10.1016/j.hspr.2025.01.001","DOIUrl":"10.1016/j.hspr.2025.01.001","url":null,"abstract":"<div><div>Due to its high space utilization efficiency and overall advantages, the \"integrated station-bridge\" design is widely used in high-speed rail stations. However, compared to traditional separated station-bridge structures, the structure-borne noise generated by high-speed trains passing through these stations is more pronounced. To investigate the structure-borne noise radiation characteristics of these station designs, we developed a noise simulation model for the \"integrated station-bridge\" high-speed railway station and validated its reliability through comparison with test results. Building on this, we implemented the floating track slab between the track structure and the station platform to mitigate structure-borne noise. Furthermore, we examined the factors influencing the noise reduction effectiveness of the floating floor. The results indicated that train passages result in significant structure-borne noise issues in \"integrated station-bridge\" stations. The maximum sound pressure levels at the waiting hall and platform exceed 70 dB(A). After the implementation of the floating floor, the maximum sound pressure levels on each floor decreased by 11–14 dB(A). Additionally, increasing the thickness of the floating floor and reducing the stiffness of the steel spring bearings both enhanced the noise reduction effectiveness of the floating floor.</div></div>","PeriodicalId":100607,"journal":{"name":"High-speed Railway","volume":"3 1","pages":"Pages 17-27"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739353","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}

引用次数: 0