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Short-term train arrival delay prediction:a data-driven approach

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railway Sciences 2024年第4期3卷 514-529页

作者： Qingyun Fu Shuxin Ding Tao Zhang Rongsheng Wang Ping Hu Cunlai Pu Postgraduate Department China Academy of Railway SciencesBeijingChina signal and communication research institute China Academy of Railway Sciences Corporation LimitedBeijingChina Traffic Management Laboratory for High-Speed railway National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail TransitBeijingChina Scientific and Technological Information research institute China Academy of Railway Sciences Corporation LimitedBeijingChina Yibin Track Signal and Communication DepotChina Railway Chengdu Group Co.LtdChengduChina School of co.puter Science and Engineering Nanjing University of Science and TechnologyNanjingChina

Purpose-To optimize train operations,dispatchers currently rely on experience for quick adjustments when delays ***,delay predictions often involve imprecise shifts based on known delay ***-time and accurate train delay predictions,facilitated by data-driven neural network models,can significantly reduce dispatcher stress and improve adjustment *** current train operation data,these models enable swift and precise predictions,addressing challenges posed by train delays in high-speed rail networks during unforeseen ***/methodology/approach-This paper proposes CBLA-net,a neural network architecture for predicting late arrival *** co.bines CNN,Bi-LSTM,and attention mechanisms to extract features,handle time series data,and enhance information *** on operational data from the Beijing-Tianjin line,it predicts the late arrival time of a target train at the next station using multidimensional input data from the target and preceding ***-This study evaluates our model’s predictive performance using two data approaches:one co.sidering full data and another focusing only on late *** show precise and rapid *** with full data achieves aMAEof approximately 0.54 minutes and a RMSEof 0.65 minutes,surpassing the model trained solely on delay data(MAE:is about 1.02 min,RMSE:is about 1.52 min).Despite superior overall performance with full data,the model excels at predicting delays exceeding 15 minutes when trained exclusively on late *** enhanced adaptability to real-world train operations,training with full data is ***/value-This paper introduces a novel neural network model,CBLA-net,for predicting train delay *** innovatively co.pares and analyzes the model’s performance using both full data and delay data ***,the evaluation of the network’s predictive capabilities co.siders different scenarios,providing a co.prehensive demonstra

关键词： Train delay prediction Intelligent dispatching co.mand Deep learning co.volutional neural network Long short-term memory Attention mechanism

Risk assessment of high-speed railway CTC system based on improved game theory and cloud model

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railway Sciences 2024年第3期3卷 388-410页

作者： Yanhao Sun Tao Zhang Shuxin Ding Zhiming Yuan Shengliang Yang signal and communication research institute China Academy of Railway Sciences Corporation LimitedBeijingChina Traffic Management Laboratory for High-Speed railway National Engineering Research Center of System Technology for High-Speed Railway and Urban Rail TransitBeijingChina signal and Telecommunication Department China Railway Chengdu Group Company LimitedChengduChina Postgraduate Department China Academy of Railway SciencesBeijingChina

Purpose-In order to solve the problem of inaccurate calculation of index weights,subjectivity and uncertainty of index assessment in the risk assessment process,this study aims to propose a scientific and reasonable centralized traffic co.trol(CTC)system risk assessment ***/methodologylapproach-First,system-theoretic process analysis(STPA)is used to co.duct risk analysis on the CTC system and co.structs risk assessment indexes based on this ***,to enhance the accuracy of weight calculation,the fuzzy analytical hierarchy process(FAHP),fuzzy decision-making trial and evaluation laboratory(FDEMATEL)and entropy weight method are employed to calculate the subjective weight,relative weight and objective weight of each *** three types of weights are co.bined using game theory to obtain the co.bined weight for each *** reduce subjectivity and uncertainty in the assessment process,the backward cloud generator method is utilized to obtain the numerical character(NC)of the cloud model for each *** NCs of the indexes are then weighted to derive the co.prehensive cloud for risk assessment of the CTC *** cloud model is used to obtain the CTC system's co.prehensive risk *** model's similarity measurement method gauges the likeness between the co.prehensive risk assessment cloud and the risk standard ***,this process yields the risk assessment results for the CTC ***-The cloud model can handle the subjectivity and fuzziness in the risk assessment process *** cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good ***/value-This study provides a cloud model-based method for risk assessment of CTC systems,which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment,achieving effective risk assessment of CTC *** can provide a reference and

关键词： High-speed railway Centralized traffic co.trol Risk assessment Game theory Cloud model Paper type research paper

Predicting impact forces on pipelines from deep-sea fluidized slides:A co.prehensive review of key factors

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International Journal of Mining Science and Technology 2024年第2期34卷 211-225页

作者： Xingsen Guo Ning Fan Defeng Zheng Cuiwei Fu Hao Wu Yanjun Zhang Xiaolong Song Tingkai Nian State Key Laboratory of co.stal and Offshore Engineering Dalian University of TechnologyDalian 116024China Department of Civil Environmentaland Geomatic EngineeringUniversity College LondonLondon WC1E 6BTUnited Kingdom Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering Ocean University of ChinaQingdao 266100China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu 610059China co.lege of Civil Engineering and Architecture Wenzhou UniversityWenzhou 325035China Key Laboratory of Engineering and Technology for Soft Soil Foundation and Tideland Reclamation of Zhejiang Province Wenzhou 325035China Zhejiang International Science and Technology co.peration Base of Ultra-soft Soil Engineering and Smart Monitoring Wenzhou 325035China School of Geography Liaoning Normal UniversityDalian 116029China china railway First Survey and design institute group co. Ltd.Xi’an 710043China Department of Geotechnical Engineering Nanjing Hydraulic Research InstituteNanjing 210024China Wuhan Center China Geological Survey(Central South China Innovation Center for Geosciences)Wuhan 430205China State Key Laboratory of Mining Response and Disaster Prevention and co.trol in Deep co.l Mines Anhui University of Science and TechnologyHuainan 232001China

Deep-sea pipelines play a pivotal role in seabed mineral resource development,global energy and resource supply provision,network communication,and environmental ***,the placement of these pipelines on the seabed surface exposes them to potential risks arising from the co.plex deep-sea hydrodynamic and geological environment,particularly submarine *** incidents have highlighted the substantial damage to pipelines due to ***,deep-sea fluidized slides(in a debris/mud flow or turbidity current physical state),characterized by high speed,pose a significant *** assessing the impact forces exerted on pipelines by fluidized submarine slides is crucial for ensuring pipeline *** study aimed to provide a co.prehensive overview of recent advancements in understanding pipeline impact forces caused by fluidized deep-sea slides,thereby identifying key factors and co.responding mechanisms that influence pipeline impact *** factors include the velocity,density,and shear behavior of deep-sea fluidized slides,as well as the geometry,stiffness,self-weight,and mechanical model of ***,the interface co.tact co.ditions and spatial relations were examined within the co.text of deep-sea slides and their interactions with *** upon a thorough review of these achievements,future directions were proposed for assessing and characterizing the key factors affecting slide impact loading on pipelines.A co.prehensive understanding of these results is essential for the sustainable development of deep-sea pipeline projects associated with seabed resource development and the implementation of disaster prevention measures.

关键词： Deep-sea fluidized slides Pipes Impact forces Shear behavior of slides Interface co.tact co.ditions Spatial relation

Optimization and design of Cloud-Edge-End co.laboration co.puting for Autonomous Robot co.trol Using 5G and Beyond

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Journal of Beijing institute of Technology 2022年第5期31卷 454-463页

作者： Hao Wang china railway Siyuan Survey and design group co. Ltd.Wuhan 430063China

Robots have important applications in industrial production, transportation, environmental monitoring and other fields, and multi-robot co.laboration is a research hotspot in recent years. Multi-robot autonomous co.laborative tasks are limited by communication, and there are problems such as poor resource allocation balance, slow response of the system to dynamic changes in the environment, and limited co.laborative operation capabilities. The co.bination of 5G and beyond communication and edge co.puting can effectively reduce the transmission delay of task offloading and improve task processing efficiency. First, this paper designs a robot autonomous co.laborative co.puting architecture based on 5G and beyond and mobile edge co.puting(MEC).Then, the robot co.perative co.puting optimization problem is studied acco.ding to the task characteristics of the robot swarm. Then, a reinforcement learning task offloading scheme based on Qlearning is further proposed, so that the overall energy co.sumption and delay of the robot cluster can be minimized. Finally, simulation experiments demonstrate that the method has significant performance advantages.

关键词： robot co.laboration mobile edge co.puting(MEC) 5G and beyond network task offloading resource allocation

Reliability improvement of gas discharge tube by suppressing the formation of short-circuit pathways

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Plasma Science and Technology 2022年第3期24卷 138-151页

作者： Lingyun CHENG Nianwen XIANG Kejie LI Weijiang CHEN Kai BIAN Jin YANG Zongqi XU co.gying HAN Hongyang GU Chun YANG Heifei University of Technology Hefei 230009People's Republic of China institute of Energy Hefei Comprehensive National Science CenterHefei 230031People's Republic of China State Grid co.poration of china Beijing 100031People's Republic of China Beijing National railway research&design institute of signal&communication group co. Ltd.Beijing 100070People's Republic of China

After cumulative discharge of gas discharge tube(GDT),it is easy to form a short circuit pathway between the two electrodes,which increases the failure risk and causes severe influences on the protected *** reduce the failure risk of GDT and improve cumulative discharge times before failure,this work aims to suppress the formation of two short-circuit pathways by optimizing the tube wall structure,the electrode materials and the electrode structure.A total of five improved GDT samples are designed by focusing on the insulation resistance change that occurs after the improvement;then,by co.bining these designs with the microsco.ic morphology changes inside the cavity and the differences in deposition co.position,the reasons for the differences in the GDT failure risk are also *** experimental results show that co.pared with GDT of traditional structure and material,the method of adding grooves at both ends of the tube wall can effectively block the deposition pathway of the tube wall,and the cumulative discharge time before device failure is increased by 149%.On this basis,when the iron-nickel electrode is replaced with a tungsten-co.per electrode,the difference in the electrode’s surface splash characteristics further extends the discharge time before failure by 183%.In addition,when co.pared with the traditional electrode structure,the method of adding an annular structure at the electrode edge to block the splashing pathway for the particles on the electrode surface shows no positive effect,and the cumulative discharge time before the failure of the two structures is reduced by 22.8%and 49.7%,*** these improved structures,the samples with grooves at both ends of the tube wall and tungsten-co.per as their electrode material have the lowest failure risk.

关键词： gas discharge tube short-circuit failure tube wall groove tungsten-co.per electrode failure risk

Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network

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Frontiers of Information Technology & Electronic Engineering 2022年第1期23卷 19-30页

作者： Huixin DONG Wei KUANG Fei XIAO Lihai LIU Feng XIANG Wei WANG Jianhua HE School of Electronic Information and communication Huazhong University of Science and TechnologyWuhan430074China School of Management Huazhong University of Science and TechnologyWuhan430074China china railway Siyuan Survey and design group co. Ltd.Wuhan430063China Wuhan Maritime communication research institute Wuhan430079China School of co.puter Science and Electronic Engineering University of EssexColchesterCO43SQUK

The recent decade has witnessed an upsurge in the demands of intelligent and simplified Internet of Things(IoT)networks that provide ultra-low-power communication for numerous miniaturized *** the research co.munity has paid great attention to wireless protoco. designs for these networks,researchers are handicapped by the lack of an energy-efficient software-defined radio(SDR)platform for fast implementation and experimental *** SDRs perform well in battery-equipped systems,but fail to support miniaturized IoT devices with stringent hardware and power *** paper takes the first step toward designing an ultra-low-power SDR that satisfies the ultra-low-power or even battery-free requirements of intelligent and simplified IoT *** achieve this goal,the co.e technique is the effective integration ofµW-level backscatter in our SDR to sidestep power-hungry active radio frequency *** carefully develop a novel circuit design for efficient energy harvesting and power co.trol,and devise a co.petent solution for eliminating the harmonic and mirror frequencies caused by backscatter *** evaluate the proposed SDR using different modulation schemes,and it achieves a high data rate of 100 kb/s with power co.sumption less than 200µW in the active mode and as low as 10µW in the sleep *** also co.duct a case study of railway inspection using our platform,achieving 1 kb/s battery-free data delivery to the monitoring unmanned aerial vehicle at a distance of 50 m in a real-world environment,and provide two case studies on smart factories and logistic distribution to explore the application of our platform.

关键词： Backscatter Ultra-low-power SDR IoT networks

A power-quality monitoring and assessment system for high-speed railways based on train-network-data center integration

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railway Engineering Science 2021年第1期29卷 30-41页

作者： Jun Zhu Haitao Hu Zhengyou He Xiaomin Guo Weiguo Pan School of Electrical Engineering Southwest Jiaotong UniversityChengdu 610031China Beijing National railway research&design institute of signal&communication group co. LtdBeijing 100073China

In recent years,with the rapid development of high-speed railways(HSRs),power interruptions or disturbances in traction power supply systems have beco.e increasingly ***,it is often impossible to detect these faults immediately through single-point monitoring or co.lecting data after *** co.rdinate the power quality data of both traction power supply systems(TPSSs)and high-speed trains(HSTs),a monitoring and assessing system is proposed to access the power quality issues on *** integrating train monitoring,traction substation monitoring and data center,this monitoring system not only realizes the real-time monitoring of operational behaviors for both TPSSs and HSTs,but also co.ducts a co.prehensive assessment of operational quality for train-network *** on a large number of monitoring data,the field measurements show that this real-time monitoring system is effective for monitoring and evaluating a traction-network system.

关键词： High-speed railway Traction power supply system Power quality monitoring Data center

Transformer-Based Macrosco.ic Regulation for High-Speed railway Timetable Rescheduling

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1822-1833页

作者： Wei Xu Chen Zhao Jie Cheng Yin Wang Yiqing Tang Tao Zhang Zhiming Yuan Yisheng Lv Fei-Yue Wang Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China signal&communication research institute China Academy Railway SciencesBeijing 100081China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 State Key Laboratory for Management and co.trol of co.plex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE State Key Laboratory for Management and co.trol of co.plex Systems Chinese Academy of SciencesBeijing 100190 Macao institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

Unexpected delays in train operations can cause a cascade of negative co.sequences in a high-speed railway *** such cases,train timetables need to be ***,timely and efficient train timetable rescheduling is still a challenging problem due to its modeling difficulties and low optimization *** paper presents a Transformer-based macrosco.ic regulation approach which co.sists of two stages including Transformer-based modeling and policy-based ***,the relationship between various train schedules and operations is described by creating a macrosco.ic model with the Transformer,providing the better understanding of overall operation in the high-speed railway ***,a policy-based approach is used to solve a co.tinuous decision problem after macro-modeling for fast *** experiments on various delay scenarios are *** results demonstrate the effectiveness of the proposed method in co.parison to other popular methods.

关键词： High-speed railway reinforcement learning train timetable rescheduling Transformer

china’s railway train speed,density and weight in developing

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railway Sciences 2022年第1期1卷 131-147页

作者： Bo Jiang Changhai Tian Jiehang Deng Zitong Zhu signal and communication research institute China Academy of Railway Sciences Corporation LimitedBeijingChina and China Academy of Railway SciencesBeijingChina railway Science and Technology research and Development Center Chinese Academy of SciencesShanghaiChina china Academy of railway Sciences BeijingChina

Purpose–This study aims to analyze the development direction of train speed,density and weight in ***/methodology/approach–The development of china’s railway in the past 40 years can be divided into 3 *** the stage of potential tapping and capacity expansion,it is important to improve the train weight and density by upgrading the existing lines,and improving transportation capacity *** the stage of railway speed increase,the first priority is to increase train speed,reduce the travel time of passenger train,and synchronously take into acco.nt the increase of train density and *** the stage of developing high-speed railway,train speed,density and weight are co.developing on ***–The train speed of high-speed railway will be 400 km h1,the interval time of train tracking will be 3 min,and the traffic density will be more than 190 pairs per *** running speed of high-speed freight EMU will reach 200 km h1 and *** maximum speed of passenger train on mixed passenger and freight railway can reach 200 km h*** minimum interval time of train tracking can be co.pressed to 5 *** freight train weight of 850 m series arrival-departure track railway can be increased to 4,500–5,000 t and that of 1,050 m series to 5,500–6,400 *** trains should gradually replace ordinary passenger trains to improve the quality of railway passenger *** formation trains will operate more in intercity railway,suburban railway and short-distance passenger ***/value–The research can provide new co.notations and requirements of railway train speed,density and weight in the new railway stage.

关键词： Speed Density Weight Potential tapping and capacity expansion railway speed increase High-speed railway