道路客运业经营现状与发展趋势

针对我国道路客运业经营现状和面临的铁路、航空等运输方式的严峻挑战,分析了道路客运业发展的实践经验和不利因素,提出了道路运输企业的发展趋势和发展交通专业保险业的优势。     

基于G1法的海外铁路项目风险评价方法研究

为了提高海外铁路项目风险评估和项目管理水平,解决"一带一路"倡议下铁路"走出去"的技术难题,建立了海外铁路项目风险评价指标体系和多级评价模型.首先,根据层次分析法的原理,按照项目风险来源性质的不同,建立了由5个1级指标和15个2级指标组成的海外铁路项目风险评价指标体系;其次,利用G1法对专家关于指标重要程度的排序意见进...     

铁路乘客艾滋病知识、态度、行为调查分析

目的　调查铁路旅客的艾滋病相关知识、态度和行为情况,为列车开展艾滋病宣传教育提供理论依据。方法　对6趟旅客列车乘客进行抽样问卷调查,调查结果进行统计分析。结果收回有效调查问卷2 083份,艾滋病一般知识正确回答率55.83% ~92.03%,传播途径59.67%~93.52%,临床知识59.00%~77.34%,预防控制68.75%~88.86%,态度行为48.25%~94.33%,政策法规67.64%~84.88%。正确回答率无性别差异(P>0.05);一般知识、传播途径、行为态度存在结婚与否的差异(P<0.05);受教育程度上除一般知识外,其它都有显著性差异(P<0.01)。结论　铁路乘客对艾滋病知识、态度、行为的正确回答率,原则性问题高于具体问题, 71%以上乘客愿意接受健康教育和AIDS教育。针对铁路乘客流动性强的特点,列车上艾滋病宣传教育内容要注重知识具体化。     

公路客运运力结构配置

运力配置合适与否不仅关系到客运企业经济效益的好坏,而且也是评价客运方式服务质量和服务水平的一项重要指标,并将直接影响其市场占有率。研究运力配置对公路客运企业、对客运消费者及区域经济都有很大意义。在对高速公路客运运力影响因素充分分析基础上,通过对公路客运量预测影响因素进行分析,建立了公路客运量预测模型,对未来目标年的客运需求量进行了预测、计算,确定运力结构配置方案。     

基于GIS的公交乘客信息系统的研究

考虑到乘客出行的心理特征差异,利用公交乘客信息系统的关键技术和GIS的特性,建立基于公交乘客出行路径优化模型的城市公交乘客信息系统,可为进一步开发适合我国的城市公交乘客信息系统提供重要的参考.     

基于BC算法的地铁站台乘客分布建模及应用

为定量化分析地铁站台客流组织方案的应用效果,实地收集乘客候车分布数据,统计分析候车位置选择的特性,研究发现乘客的候车位置选择具有集中性,并受行走距离、排队长度和候车区域容量影响.基于细菌趋药性(BC)算法原理,结合站台乘客候车位置选择特性,建立了站台乘客分布仿真模型,并利用实测数据对模型进行了标定和验证.从实例站台的限...     

基于未确知测度理论的隧道施工瓦斯灾害风险评价

选取煤层厚度、煤层瓦斯含量、回风流平均瓦斯浓度、相对瓦斯涌出量、岩石类型、连通封闭性、深度值、隧道跨度、隧道长度、通风风速和涌水量等11项瓦斯灾害指标作为隧道施工瓦斯灾害风险评价指标体系,并建立各指标的等级标准.将序关系分析法(G1)和反熵权法(AEW)运用拉格朗日乘子法确定组合权重,构建各指标的单指标测度函数,并计算...     

Modelling,simulation and applications of longitudinal train dynamics

ABSTRACT

Significant developments in longitudinal train simulation and an overview of the approaches to train models and modelling vehicle force inputs are firstly presented. The most important modelling task, that of the wagon connection, consisting of energy absorption devices such as draft gears and buffers, draw gear stiffness, coupler slack and structural stiffness is then presented. Detailed attention is given to the modelling approaches for friction wedge damped and polymer draft gears. A significant issue in longitudinal train dynamics is the modelling and calculation of the input forces – the co-dimensional problem. The need to push traction performances higher has led to research and improvement in the accuracy of traction modelling which is discussed. A co-simulation method that combines longitudinal train simulation, locomotive traction control and locomotive vehicle dynamics is presented. The modelling of other forces, braking propulsion resistance, curve drag and grade forces are also discussed. As extensions to conventional longitudinal train dynamics, lateral forces and coupler impacts are examined in regards to interaction with wagon lateral and vertical dynamics. Various applications of longitudinal train dynamics are then presented. As an alternative to the tradition single wagon mass approach to longitudinal train dynamics, an example incorporating fully detailed wagon dynamics is presented for a crash analysis problem. Further applications of starting traction, air braking, distributed power, energy analysis and tippler operation are also presented.     

A signal-based fault detection and classification method for heavy haul wagons

This paper proposes a signal-based fault detection and isolation (FDI) system for heavy haul wagons considering the special requirements of low cost and robustness. The sensor network of the proposed system consists of just two accelerometers mounted on the front left and rear right of the carbody. Seven fault indicators (FIs) are proposed based on the cross-correlation analyses of the sensor-collected acceleration signals. Bolster spring fault conditions are focused on in this paper, including two different levels (small faults and moderate faults) and two locations (faults in the left and right bolster springs of the first bogie). A fully detailed dynamic model of a typical 40t axle load heavy haul wagon is developed to evaluate the deterioration of dynamic behaviour under proposed fault conditions and demonstrate the detectability of the proposed FDI method. Even though the fault conditions considered in this paper did not deteriorate the wagon dynamic behaviour dramatically, the proposed FIs show great sensitivity to the bolster spring faults. The most effective and efficient FIs are chosen for fault detection and classification. Analysis results indicate that it is possible to detect changes in bolster stiffness of ±25% and identify the fault location.     

Dynamic simulation of train–truck collision at level crossings

Trains crashing onto heavy road vehicles stuck across rail tracks are more likely occurrences at level crossings due to ongoing increase in the registration of heavy vehicles and these long heavy vehicles getting caught in traffic after partly crossing the boom gate; these incidents lead to significant financial losses and societal costs. This paper presents an investigation of the dynamic responses of trains under frontal collision on road trucks obliquely stuck on rail tracks at level crossings. This study builds a nonlinear three-dimensional multi-body dynamic model of a passenger train colliding with an obliquely stuck road truck on a ballasted track. The model is first benchmarked against several train dynamics packages and its predictions of the dynamic response and derailment potential are shown rational. A geometry-based derailment assessment criterion is applied to evaluate the derailment behaviour of the frontal obliquely impacted trains under different conditions. Sensitivities of several key influencing parameters, such as the train impact speed, the truck mass, the friction at truck tyres, the train–truck impact angle, the contact friction at the collision zone, the wheel/rail friction and the train suspension are reported.