Analyzing the theoretical capacity of railway networks with a radial-backbone topology

In this work we propose a mechanism to optimize the capacity of the main corridor within a railway network with a radial-backbone or X-tree structure. The radial-backbone (or X-tree) structure is composed of two types of lines: the primary lines that travel exclusively on the common backbone (main corridor) and radial lines which, starting from the common backbone, branch out to individual locations. We define possible line configurations as binary strings and propose operators on them for their analysis, yielding an effective algorithm for generating an optimal design and train frequencies. We test our algorithm on real data for the high speed line Madrid–Seville. A frequency plan consistent with the optimal capacity is then proposed in order to eliminate the number of transfers between lines as well as to minimize the network fleet size, determining the minimum number of vehicles needed to serve all travel demand at maximum occupancy.     

Experimental evaluation of the efficiency of trenches for the mitigation of train-induced vibrations

In this work, the efficiency of absorbing barriers for the mitigation of ground vibrations induced by railway traffic has been evaluated by means of two different experimental campaigns conducted in situ, along the newly-built, high-speed railway line that connects the Italian cities of Milan and Bologna. In the first stage of testing, a series of ideal barriers created from unsupported empty trenches were tested to assess the effects of barrier depth on their efficiency in reducing vertical ground accelerations. The second stage of testing was performed to investigate the efficiency of a full-scale prototype barrier, made of a 2-meter-deep trench supported by two precast reinforced concrete plates connected by steel bars, during transit of an ETR 500 train at a speed of 120 km/h.     

基于模型预测控制的智能车轨迹跟踪控制研究

为了完成智能车的轨迹跟踪,提出一种基于模型预测控制的轨迹跟踪方法,利用将运动学模型这个非线性系统线性化的方案,来获得必须的线性时变系统,采取模型预测控制的三要素来设计控制器。并且基于MPC在控制过程中能增加多种约束的优点,建立基于车辆运动学模型的约束做轨迹跟踪仿真实验,最后,基于山东理工大学智能车平台上GPS提供的定位信息,在校园中采集路线并对前提规划好的的轨迹进行实车验证。实验结果表明:基于MPC算法所设计的控制器能快速且稳定地跟踪期望轨迹。     

大号码道岔应用在信号系统中的解决方案

随着我国铁路的不断提速，大号码道岔在铁路建设中的应用越来越普遍，与之有关的转换、列车运行安全控制等问题也随之而来。本文主要阐述了在信号系统设计中应注意处理好大号码道岔的相关问题，并提出了解决方案。     

“龙格-库塔”算法在航天器实时落点计算中的应用

在介绍航天器实时落点估算的作用和实现原理的基础上，分析了采用“龙格库塔”算法进行航天器实时落点估算的优势，提出了四阶“龙格一库塔”法实时计算航天器落点模型。该方法在保证航天飞行试验强实时性的前提下有效提高了航天器实时落点估算的精度，对确保成功地实施航天器安全控制和回收提供了科学的依据。     

车辆阻力对站线坡度设计的影响研究

根据车辆所受基本阻力、曲线阻力、坡道阻力、风阻力、道岔阻力,建立车辆单位基本阻力模型及数学表达式,运用车辆参数及风阻力参数,对车辆相关状态进行分析计算,研究表明:线路纵坡即使为平坡,亦存在溜逸安全隐患,必须采取措施才能保证安全;对《站规》站线纵坡标准,进行安全评估,提出利用停车顶改善车辆停放状态的措施意见及计算办法;利用减速顶做功耗能可以提高装车线线路纵坡,从而满足定量快速装车或轨道衡计量系统的技术要求,为线路纵坡设计提供依据,拓宽站场调速设备应用领域,创新工程设计方法,为工程综合优化设计提供理论基础,供设计分析及计算参考。     

基于令牌环网络拓扑结构的地铁电动客车网络监控系统

列车网络控制系统目前已经成为城市轨道车辆控制的主要方案之一,该系统将车辆主要电气设备的监控信息通过网络连接的终端融合在一起,便于设备控制、维护和司机操作。本文介绍基于ARCnet网络技术以及令牌环传输协议的网络监控技术,最后介绍地铁电动客车的网络基本构成和节点控制方案。     

CBTC的列车监控与追踪功能

以广州地铁4号线为例，详细介绍基于无线的列车控制系统的列车监控与追踪功能，包括列车定位的实现及车次号的显示等。     

基层站段提高卸车能力的措施

以古冶站为例,通过对该站卸车情况的调查,从改变硬件设施、增设卸车线路、优化运输组织、制定调卸车预案、预储接卸能力、发挥区域协作能力等各方面,提出提高卸车能力的措施。