基于UPPAAL仿真软件的CTCS-3级行车许可研究

行车许可是列车安全运行的行车凭证,是无线闭塞中心通过与列车、联锁系统等设备的通信获得相关的信息后,生成并发送给列车,最终车载设备根据行车许可信息计算安全防护曲线,确保列车安全运行。因此,行车许可丢失或发生错误都会影响列车运行安全,而行车许可终点计算的合理性则会影响运营效率。分别分析了列车在接车、发车、区间运行等3个阶段的正常运营情况下和非正常运营情况下对行车许可的获取及采取的相应操作,然后用UPPAAL仿真软件中的时间自动机进行仿真验证分析结果的正确性。

基于DEMATEL-AISM的铁路工程建设风险识别影响因素与优化策略研究

铁路工程建设大型化、复杂化和系统化的发展趋势下,潜在的风险因素日益繁多,铁路工程建设高质量和可持续发展之路充满挑战。风险识别作为风险管理的首要环节,是应对和控制铁路工程建设风险的关键,受到项目内外部多方面因素的影响,且现有实践中没有系统的指导,导致风险识别工作易存在疏漏。基于此,通过文献研究和因子分析,提取铁路工程建设风险识别的核心影响因素,运用决策与试验评价实验室和解释结构模型的方法,构建对抗多级递阶结构模型(DEMATEL-AISM),计算铁路工程建设风险识别各影响因素的重要程度及其耦合关系。研究结果表明:铁路工程建设风险识别的效果受到直接层、间接层和根源层3层因素共同作用,其中,危险源监测分析、人员风险意识、风险调查措施、风险应对能力、铁路建设目标、预期风险后果和风险识别技术是影响风险识别结果的关键因素,在铁路工程建设风险管理工作的开展中应重点关注和控制。基于模型结果,分析风险识别影响因素的层级结构及因果关系,并从风险内部控制、项目一体化风险管理体系构建和动态风险预警机制设立3个方面,提出了铁路工程建设风险识别的建议和策略。研究结果有助于提高大型铁路工程建设风险辨识结果的全面性和科学性,对构建铁路工程建设风险识别体系具有一定参考价值和借鉴意义。

Real-time high-speed train rescheduling based on a Human-Computer Interaction framework

During railway operations,trains normally run as scheduled,but the occurrence of unexpected events will disrupt traffic flow and cause train deviation from the original timetable.In order to assist dispatchers in rescheduling trains,this paper introduces an innovative Human-Computer Interaction framework.This framework enables train dispatchers to propose different timetable adjustment instructions to the original or adjusted timetable.These instructions will be processed,stored,analyzed,and digested by computer program,which finally lead to the modification and calculation of the embedded mathematical model,then a new adjusted timetable will be produced and provided to dispatchers for checking and modifying.This framework can iterate for unlimited times based on dispatchers'intentions,until the final results satisfy them.A demonstration system named RTARS(Real-time Timetable Automatic Rescheduling System)is developed based on this framework and it has been applied in Beijing Railway Administration,which shows its effectiveness in reality.

“节点-场所”模型发展脉络解析与国内外应用述评

城市轨道交通站点地区兼具“节点”和“场所”双重特征,通过回溯和系统梳理“节点-场所”模型提出及发展演变历程,深度剖析该模型应用拓展和发展脉络,将其分为“模型提出与完善、与TOD交叉融合、三维拓展”3个阶段,并对其应用和优化拓展方向进行讨论和反思。研究认为,源于欧洲城市再开发背景下提出的“节点-场所”模型具有定量分析优势和弹性评估框架,国内外学界从最初的单纯描述发展到站点分类和预测,逐步发展研究对城市再开发的推动作用,并与TOD理念进行互补和联动,但该模型在我国本土化应用实践中还需要继续加强国内城市站点地区持续性跟踪实证研究,应重视实地数据调研和网络数据校核,以期更好地促进轨道交通网络和站点全面融入到城市更新过程。

Cascading Delays for the High-Speed Rail Network Under Different Emergencies:A Double Layer Network Approach

High-speed rail(HSR) has formed a networked operational scale in China. Any internal or external disturbance may deviate trains’ operation from the planned schedules, resulting in primary delays or even cascading delays on a network scale. Studying the delay propagation mechanism could help to improve the timetable resilience in the planning stage and realize cooperative rescheduling for dispatchers. To quickly and effectively predict the spatial-temporal range of cascading delays, this paper proposes a max-plus algebra based delay propagation model considering trains’ operation strategy and the systems’ constraints. A double-layer network based breadth-first search algorithm based on the constraint network and the timetable network is further proposed to solve the delay propagation process for different kinds of emergencies. The proposed model could deal with the delay propagation problem when emergencies occur in sections or stations and is suitable for static emergencies and dynamic emergencies. Case studies show that the proposed algorithm can significantly improve the computational efficiency of the large-scale HSR network. Moreover, the real operational data of China HSR is adopted to verify the proposed model, and the results show that the cascading delays can be timely and accurately inferred, and the delay propagation characteristics under three kinds of emergencies are unfolded.

Image fusion methods in high-speed railway scenes:A survey

Image fusion refers to extracting meaningful information from images of different sources or modalities,and then fusing them to generate more informative images that are beneficial for subsequent applications.In recent years,the growing data and computing resources have promoted the development of deep learning,and image fusion technology has continued to spawn new deep learning fusion methods based on traditional fusion methods.However,high-speed railroads,as an important part of life,have their unique industry characteristics of image data,which leads to different image fusion techniques with different fusion effects in high-speed railway scenes.This research work first introduces the mainstream technology classification of image fusion,further describes the downstream tasks that image fusion techniques may combine within high-speed railway scenes,and introduces the evaluation metrics of image fusion,followed by a series of subjective and objective experiments to completely evaluate the performance level of each image fusion method in different traffic scenes,and finally provides some possible future image fusion in the field of rail transportation of research.

Optimal edge-cloud collaboration based strategies for minimizing valid latency of railway environment monitoring system

Response speed is vital for the railway environment monitoring system,especially for the sudden-onset disasters.The edge-cloud collaboration scheme is proved efficient to reduce the latency.However,the data characteristics and communication demand of the tasks in the railway environment monitoring system are all different and changeable,and the latency contribution of each task to the system is discrepant.Hence,two valid latency minimization strategies based on the edge-cloud collaboration scheme is developed in this paper.First,the processing resources are allocated to the tasks based on the priorities,and the tasks are processed parallly with the allocated resources to minimize the system valid latency.Furthermore,considering the differences in the data volume of the tasks,which will induce the waste of the resources for the tasks finished in advance.Thus,the tasks with similar priorities are graded into the same group,and the serial and parallel processing strategies are performed intra-group and inter-group simultaneously.Compared with the other four strategies in four railway monitoring scenarios,the proposed strategies proved latency efficiency to the high-priority tasks,and the system valid latency is reduced synchronously.The performance of the railway environment monitoring system in security and efficiency will be promoted greatly with the proposed scheme and strategies.

A review of high performance computing applications in high-speed rail systems

Further improving the railway innovation capacity and technological strength is the important goal of the 14th Five-Year Plan for railway scientific and technological innovation.It includes promoting the deep integration of cutting-edge technologies with the railway systems,strengthening the research and application of intelligent railway technologies,applying green computing technologies and advancing the collaborative sharing of transportation big data.The high-speed rail system tasks need to process huge amounts of data and heavy workload with the requirement of ultra-fast response.Therefore,it is of great necessity to promote computation efficiency by applying High Performance Computing(HPC)to high-speed rail systems.The HPC technique is a great solution for improving the performance,efficiency,and safety of high-speed rail systems.In this review,we introduce and analyze the application research of high performance computing technology in the field of highspeed railways.These HPC applications are cataloged into four broad categories,namely:fault diagnosis,network and communication,management system,and simulations.Moreover,challenges and issues to be addressed are discussed and further directions are suggested.

“08-32捣固车应急起复装置”通过太原铁路局技术鉴定

2011年12月，太原铁路局科委组织专家对太原工务机械段和北京曦明威机械设备有限责任公司联合研制的“08—32捣固车应急起复装置”进行了技术鉴定。

美国49CFR238法规《铁路客运装备安全标准》借鉴建议

美国联邦铁路管理局(FRA)制定的《铁路客运装备安全标准》(49CFR238法规),明晰了联邦政府对铁路客运装备安全监管的底线要求,以技术法规的方式赋予了装备安全标准强制执行的效力。其中该法规规定了运营前运输企业对客运装备进行验收测试的要求、运营中运输企业装备检查、试验、维保等运用安全的自治要求。法规放权运输企业自适应安全管理项点的做法,给我国铁路装备安全监管以借鉴,为我国铁路装备安全监管“放管服”改革提供了思路。

城市轨道交通预约进站配额优化研究

通勤时段客流激增,城市轨道交通车站过度拥挤,安全风险较大.除站外限流外,采用线上预约、快速进站制度可以使乘客合理规划出行时间,提升系统效能.作为1种新解决方案,预约进站制度中,预约时段选择以及预约配额设置仍缺乏科学合理的依据.为此,本研究基于智能卡数据分析通勤高峰时期乘客出行特征,确定预约时段;通过实地调研获取进站时间特征,利用排队论以最小化非预约乘客站外排队时间为目标的预约配额优化模型.以北京地铁沙河站为例,分别采用数值算法以及仿真模型实现并验证了提出模型的适用性,为城市轨道交通预约进站制度的推广应用提供科学的理论指导.

TMIS在OS／390 SYSPLEX环境下的USS使用及HFS共享

介绍如何定义USS系统在SYSPLEX环境下的构架和文件系统共享。

XLY-220、XLY-380通信电源防雷箱通过郑州铁路局鉴定

近日，“XLY-220、XLY-380通信电源防霄箱”通过了郑州铁路局鉴定。“XLY-220、XLY-380通信电源防雷箱”由电源电涌保护器、断路装置、状态监示和雷电计数器等组成，具有雷电防护和温控、断相、放障等报警功能。内部配线采用凯文连接法，电路板与器材之间采用铜板连接，

使用DB2 UDB for OS／390分区型表空间的几点体会

针对DB2 UDB for OS／390分区型表空间，从分区型表空间如何改善查询响应速度、如何确定分区、如何命中分区和如何避免相关问题等几个方面对分区型表空间进行了简要的论述。

标准IEEE 2839-2021《轨道交通安全计算机》正式发布

2021年9月23日,标准IEEE 2839-2021《轨道交通安全计算机》由IEEE标准协会正式发布。该标准由中车株洲电力机车研究所有限公司(简称“中车株洲所”)主导起草,是首项由中国企业制定的轨道交通领域的IEEE标准。作为轨道交通领域首个国际性安全计算机标准,其规定了轨道交通运输系统中安全计算机的功能、性能、接口和环境条件,适用于轨道交通车载和轨旁安全相关应用系统。该标准将在提高安全计算机的互换性、与应用系统的兼容性、简化系统设计以及降低全生命周期成本等方面起到积极推动作用。

CRH380B型动车特殊困难区段操纵模拟技术分析

以CRH380B型动车组为研究对象,根据其功能、线路等构建适于不同运行线路困难及特殊区段驾驶实作的仿真系统,应用正则化正交匹配追踪(ROMP)算法横向拉通各种运营场景,纵向贯穿司机实作教培,能有效模拟不同运行线路正常、故障、应急处置与非正常场景,较好地满足动车组司机在不同运行线路的优化与节能操纵的培训需求,大幅提升列车运行平稳性以及减轻动车组运营能耗,供全路及各站段科研成果转化应用与实施参考。

G3技术集成及其在青藏铁路信息化中的应用研究

青藏铁路是世界上海拔最高、线路最长的高原铁路。铁路沿线环境恶劣(严寒缺氧,气候恶劣、多年冻土地段长、生态环境脆弱等)。因此,不仅要求在工程建设过程中采用先进的设备和技术手段,而且,要求在线路建成后实现其运营、维修管理信息化。笔者提出采用G3(包括全球定位系统GPS、地理信息系统GIS、全球移动通讯系统GSM)技术集成来确保建成后线路的安全运营。在集成系统中:GPS主要用于实施、快速地获取空间目标的三维坐标;GIS为系统集成提供基础平台,对空间信息进行综合分析和综合处理;GSM实现信息的无线、实时的传输。采用G3技术可以实现列车行车信息的实时发布、传输与接收,实现数据共享,从而保证行车安全。

基于Flume和Flink的轨道交通智能运维数据接收解析系统

随着轨道交通智能运维技术的不断发展,越来越多的车载设备将数据通过车载无线通信设备下发至地面服务器进行存储、分析以及可视化显示。通过研究相关大数据技术,提出一种基于日志收集框架Flume和流数据处理引擎Flink的智能运维数据接收解析系统,可在高吞吐量的基础上保证稳定性与实时性。

我国铁路GSM-R的应用和发展

国际铁路联盟(UIC)在欧洲推广应用GSM-R技术,以满足常规铁路和高速铁路专用调度通信的要求,并决定采用基于GSM-R技术标准作为欧洲新一代铁路无线移动通信系统的技术标准。我国于2004年10月与UIC签署了选择GSM-R技术标准备忘录,根据我国铁路专用移动通信网络现状及存在的问题,实施了以下关键技术,如功能寻址、基于位置寻址、组呼及广播呼叫业务、增强多优先级与强拆、多司机间的通信等;提出我国铁路GSM-R网络发展应坚持“统一规划、全路组网、分步实施、持续发展”的指导方针。