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合理规划区域性物流配送中心，对于提高物流配送服务水平，降低物流配送成本具有重要意义.实际物流配送系统中，需求点的物流配送需求是随机变量.因此，传统的把配送需求假定为已知常数的规划模型，不能反映需求量的随机性对区域性物流配送中心规划的影响.本文研究当物流需求量为随机变量时，区域性配送中心的随机规划模型和解法.由于引入了随机变量，所建立的规划模型更加符合实际;在模型求解过程中,则利用了确定性等价及过滤条件把模型简化成了多个简单的线性规划子问题,简化了模型求解，从而使之更易于在区域性物流配送中心的规划中得到运用.     

客运通道出行行为选择分析

选择如何出行是进行出行决策的重要组成部分。而如何提高道路交通准确预测程度,实现道路交通资源合理分配、城市交通布局进行合理规划则成为一个重要的课题。文章主要对京沪两地影响客运通道出行选择的因素进行分析,并在此基础上建立MNL模型。经检验该模型精度很高,能够有效地预测京沪客运通道各交通方式的分担率。     

信号控制模型中利益分配问题的研究

设计了一个平衡约束条件下信号控制与平衡网络设计组合问题的多目标规划模型，然后使用效用函数法将有双目标的上层优化问题转化为一个单目标优化问题．在这种情况下，该模型变成一个标准的双层规划模型。并利用全局优化方法模拟退火算法和惩罚函数法相结合求解．     

道岔区聚氨酯固化道床烘干装置的研发

针对道岔区聚氨酯固化道床施工提出一种道床烘干技术。通过高精度、智能化的道床温湿度检测,实时监控烘干效果。本文首先介绍了道床烘干装置的总体设计,然后对道床烘干数值模拟结果和试验线上实测结果进行了分析。结果表明:当密封罩内分风结构导流角为100°时,密封罩的7个出风口风速均匀;烘干约10 min时道床烘干深度可达350 mm,道床相对湿度约20%,满足聚氨酯施工要求;与现有设备相比,该道床烘干装置具有小型化、快捷化的特点,可实现对道岔区等复杂线路区段的道床烘干作业。     

A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times

This study proposes an approach to modeling the effects of daily roadway conditions on travel time variability using a finite mixture model based on the Gamma–Gamma (GG) distribution. The GG distribution is a compound distribution derived from the product of two Gamma random variates, which represent vehicle-to-vehicle and day-to-day variability, respectively. It provides a systematic way of investigating different variability dimensions reflected in travel time data. To identify the underlying distribution of each type of variability, this study first decomposes a mixture of Gamma–Gamma models into two separate Gamma mixture modeling problems and estimates the respective parameters using the Expectation–Maximization (EM) algorithm. The proposed methodology is demonstrated using simulated vehicle trajectories produced under daily scenarios constructed from historical weather and accident data. The parameter estimation results suggest that day-to-day variability exhibits clear heterogeneity under different weather conditions: clear versus rainy or snowy days, whereas the same weather conditions have little impact on vehicle-to-vehicle variability. Next, a two-component Gamma–Gamma mixture model is specified. The results of the distribution fitting show that the mixture model provides better fits to travel delay observations than the standard (one-component) Gamma–Gamma model. The proposed method, the application of the compound Gamma distribution combined with a mixture modeling approach, provides a powerful and flexible tool to capture not only different types of variability—vehicle-to-vehicle and day-to-day variability—but also the unobserved heterogeneity within these variability types, thereby allowing the modeling of the underlying distributions of individual travel delays across different days with varying roadway disruption levels in a more effective and systematic way.     

Non-exhaust particle emissions under various driving conditions: Implications for sustainable mobility

Non-exhaust particle (NEP) emissions from road traffic contribute significantly to Particulate Matter (PM) pollution in urban areas. The primary objective herein is to develop the knowledge required to move toward more sustainable mobility. NEP emissions are studied by means of complementary experiments on chassis dynamometers, on test tracks and at the roadside. Laboratory tests demonstrate that brake wear particles (BWP) emissions can change with braking force and frequency. A brake pad temperature threshold exists, above which the rate of ultrafine particle emissions is quite high. Below this threshold, the BWP emissions are dominant in the accumulation and coarse modes. Test track measurements have demonstrated that tire-road contact particle (TRCP) emissions considerably modify the atmospheric PM background especially for the supermicron fraction. Their number size distribution highlighted an ultrafine and accumulation modes centered at about 40 nm and 200 nm, respectively. The TRCP level increases with vehicle speed and during the acceleration and deceleration phases. Roadside measurements in the urban environment confirm the presence of NEP in significant proportions, in both the accumulation and coarse modes. The chemical composition of NEP differs depending on the size mode: BWP mainly stem from the degradation of brake pad lining materials, while TRCP are a mixture of tire tread wear and re-suspended dust. The presence of Fe-rich particles nevertheless serves as a good indicator of the NEP contribution to PM at the roadside. Lastly, in considering the parameters influencing NEP emissions, a series of recommendations are offered in order to achieve a more sustainable mobility.     

基于地铁-货车联运的物流配送路径优化

为应对配送车辆引起道路拥堵和环境污染问题，提出地铁与货车联合运输. 在不改变地铁运行方案的前提下，利用地铁非高峰时段开展货物配送；考虑地铁剩余运能、货车容量、最大行驶距离、客户服务时间窗等限制条件，以配送距离最短为优化目标，构建基于地铁-货车联运的物流配送路径优化模型. 通过地铁配送路径设计不规则二维矩阵编码结构，使用改进自适应遗传算法求解. 以某市地铁货物运输为例，验证模型和算法的实用性、有效性. 结果表明，地铁-货车联合配送距离短，在客户时间窗范围内送达比例高，有效提高客户满意度.     

淤泥质土封闭作用下侧压力试验研究

天然软土上覆的硬壳层对其下的软土具有封闭作用,会改变其下软土层侧压力分布及传递规律。为探究封闭作用下淤泥质土侧向土压力特性,通过模拟3种不同工况的室内试验,研究含水率、加载方式、硬壳层完整性对侧压力竖向分布规律,侧压力系数及横向传递特性的影响。试验结果表明:侧向土压力沿深度呈上段抛物线、下段近似直线的半抛物线形分布,其半抛物线趋势受含水率、荷载等级的影响;侧压力系数在一定范围内随深度增加,之后趋于稳定,受含水率影响不大。该结果证明,封闭状态下淤泥质土侧向受荷性能具有类似流体的性质,从工程安全角度考虑,设计时可将封闭状态下淤泥质土侧压力系数取为1。同时,硬壳层完整性对淤泥土中应力传递具有一定影响。     

柴油机配气机构运动两种视觉仿真方法的比较

柴油机凸轮配气机构的凸轮型线比较复杂，其与运动的挺柱是视觉仿真开发的难点。在开发虚拟维修模块过程中，提出了两种实现配气机构运动学仿真的方法：一是进行理论计算，得到凸轮机构实时位置，然后依此实现视觉仿真，但此种方法占用系统资源较大，运行费时；二是以视觉仿真中碰撞检测技术作为开发手段，实现挺柱与凸轮之间相互作用的表现方法，找出碰撞检测技术的关键点，并且解决了应用这种方法时挺柱等机构出现的抖动问题。最后对两种方法进行了比较，指出后一方法较容易实现。