6S现场管理在货车检修生产中的应用

6S现场管理是针对企业生产现场管理的有效方法,符合铁路倡导人本管理的精神。结合铁路货车检修生产实际,指出应用6S现场管理方法的主要内容和关键要点。     

悬挂式单轨车辆走行轮失效对曲线通过及运行平稳性影响的仿真分析

悬挂式单轨车辆走行轮在车辆运行中起到承载和传力的重要作用,其走行轮失效对悬挂式单轨车辆运行性能有重大影响。通过多刚体动力学理论建立悬挂式单轨车轨耦合动力学模型,仿真分析了不同工况下走行轮失效对单轨车辆曲线通过及运行平稳性的影响。仿真结果表明:空载状态下走行轮失效的悬挂式单轨车辆在曲线半径100 m的线路上限速为35 km/h,而满载状态下走行轮失效的车辆一直处于不安全状态,需要尽快行驶到就近站点疏散乘客;同侧走行轮失效对单轨车辆的影响趋势基本一致;在相同行车速度下,走行轮失效时竖向平稳性指标出现了部分数值超过3.0的情况,说明走行轮失效时车辆的运行平稳性会变差。仿真研究结果可为走行轮失效的悬挂式单轨车辆运行提供参考。     

基于数值模拟的钛合金锯齿状切屑研究

切削加工中切屑成形是一种典型的大变形问题,它涉及到材料非线性、几何非线性以及边界非线性等问题。本文利用DEFORM-2D对钛合金(Ti6Al4V)进行了锯齿状切屑形成过程的有限元模拟,分析了切削过程中的应力场、应变场及温度场,探讨了锯齿状切屑的形成机理,获得了切削参数对锯齿状切屑形态的影响规律,为优化切削参数、提高刀具寿命提供了参考。     

先进出行信息下事故对行程时间可靠性的影响

定义路径行程时间可靠性为在交通事故期间内平均路径行驶时间小于事故前路径出行时间乘以可接受拥堵水平的概率,由此导出路网行程时间可靠性.假定事故持续时间服从正态分布并将研究时域划分成相同的时段,在先进出行信息下,利用元胞传输模型进行路段流量加载,给出了每一个时段内路径行程时间的递推式,并在每一个时段内更新1次路径出行时间,出行者根据更新的出行时间运用Logit模型进行路径决策,最后基于Monte-Carlo法模拟求解路网行程时间可靠性.算例结果表明,行程时间可靠性随事故持续时间和方差及需求的增加而减小;可靠性随可接受拥堵水平的增加而增加;在拥堵网络中,包含事故路段的OD间需求越高,可靠性越低.     

基于手机信令数据的旅客联程出行时空特征分析方法

为高效准确地识别旅客联程出行方式,基于旅客联程出行行为特征,引入不同运输方式场站地理位置、场站数据取样最佳半径、旅客行驶速度等关键参数,对旅客手机信令数据进行筛选、校核和计算,提出了基于手机信令数据的旅客联程出行方式识别方法,同时测算了不同运输方式场站数据取样最佳半径。以2018年国庆假期广东省内旅客出行为例进行分析,剔除了约98%的无关信令数据。分析结果显示,广东省内公铁联运出行比例最高,广州、深圳两大枢纽城市的客流集疏运效应突出,广佛城际出行联系较为密切,佛山机场的潜力较大。研究表明,识别方法大幅降低了信令数据分析量和运算成本,方法原理和技术路线清晰,分析结果准确、符合实际。     

An analysis of the determinants of children’s weekend physical activity participation

This paper examines the out-of-home, weekend, time-use patterns of children aged 5–17 years, with a specific emphasis on their physical activity participation. The impact of several types of factors, including individual and household demographics, neighborhood demographics, built environment characteristics, and activity day variables, on physical activity participation is analyzed using a joint nested multiple discrete–continuous extreme value-binary choice model. The sample for analysis is drawn from the 2000 San Francisco Bay Area Travel Survey. The model developed in the paper can be used to assess the impacts of changing demographics and built environment characteristics on children’s physical activity levels.     

信号控制对动态路线选择的影响研究

以动态路线选择模型为基础的先进的出行者信息系统（ＡＴＩＳ）的实施必然对城市交通控制系统产生影响，同时交通控制系统的控制方案对路线诱导信息“运行时间”的估计也发生作用，影响用户对最优路线的造选择。对两系统的相互关系进行了分析，并建立了两系统相互关系模型最后给出了实际案例分析。     

Conformity: How VMT-speed distributions can affect mobile emission inventories

Transportation conformity is a US regulatory process that requires that transportation modeling be integrated with air quality modeling. Consequently, every change to either modeling process is undertaken with great scrutiny by the regional governments, who have to use the models for demonstrating conformity. This paper explores the "trip versus link debate," which stems from the fact that the standard travel demand models used by most metropolitan planning organizations are primarily link oriented, while the air quality models have been primarily trip oriented. Using the Sacramento region we examine the effects on mobile source emissions inventories when speed-VMT distributions are constructed using the trip and link-based philosophies. The results of our study indicate that trip-based VMT-speed distributions produce consistently lower emissions estimates than the link-based distributions. We use the results to assert that deciding between a trip-based or link-based conformity modeling process involves more than the technical difficulty of changesto the models or the potential political ramifications, it involves assessing which method will provide the most accurate estimates of regional motor vehicle emissions. We also examine ways to think about constructing mobile source emission inventories.     

Understanding members' carsharing (activity) persistency by using econometric model

Carsharing is an innovative travel alternative that has recently experienced considerable growth and become part of sustainable transportation initiatives. Although carsharing is becoming increasingly a popular alternative transportation mode in North America, it is still an under‐researched area. Current research is aimed at better understanding of the behavior of carsharing users. For every member, a two‐stage approach microsimulates the probability of being active in any month using a binary probit model and given that a particular member is active during a month, the probability of that member using the service multiple times using a random utility‐based model. The model is estimated using empirical data from one of the largest carsharing companies in North America. The model estimates reveal that the activity persistency of members is positively linked to previous behaviors for up to 4 months, and that the influence of previous months weakens over time. It also shows that some attributes of the traveler (gender, age, and language spoken at home) impact his or her behaviors. Copyright © 2010 John Wiley & Sons, Ltd.