基于列生成算法的动车组检修计划优化

基于动车组运用维修规程的特点,研究动车组检修计划的优化问题。构建动车组交路段和动车组检修基地相互关系的接续网络,刻画动车组担当交路段、进行检修、等待检修3种状态。进一步考虑交路段覆盖约束、检修弧能力约束和路径数量约束,以动车组可行运用计划为决策变量,以待检动车组检修前的累计运行里程最大化为目标函数,建立动车组检修计划优化模型。针对优化模型的决策变量数远远大于约束条件数量的特点,设计将列生成算法嵌入分枝定界算法的分枝定价求解算法。以广深线14列动车组的交路计划为例,采用给出的模型和算法进行动车组检修计划优化。结果表明:优化的动车组检修计划提高了动车组运用效率;只有当检修能力和备用车数量匹配时,才会使动车组得到充分的利用。     

浅谈智能座舱的“一芯多屏”

随着汽车智能化、网联化水平提高,汽车座舱逐渐向以人机交互为核心、多屏联动的智能座舱发展。在芯片研发制造、虚拟化技术大力发展下,在一颗性能强大芯片上运行多个车载操作系统,同时驱动多个显示屏的"一芯多屏"智能座舱方案成为智能座舱的发展趋势。     

Development of distress condition index of asphalt pavements using LTPP data through structural equation modeling

Traditional pavement distress index such as the Pavement Condition Index (PCI) developed by U.S. Army Corps of Engineers determines coefficients of distresses based on subjective ratings. This study proposed an asphalt pavement distress condition index based on various types of distress data collected from the Long-Term Pavement Performance (LTPP) database through Structural Equation Modeling (SEM). The SEM method treated the overall distress index as a latent variable while various distresses were treated as endogenous and other influence factors such as age, layer thickness, material type, weather, environment and traffic, were exogenous observed variables. The SEM method modeled the contributions of various distresses as well as the influence of other factors on the overall pavement distress condition. Influences of age, layer thickness, material type, environment and traffic on the latent distress condition were in accordance with previous studies. Compared with previous attempts to model latent pavement condition index utilizing SEM method, more pavement condition measurements and influencing factors were included. Specifically, this study adopted the robust maximum likelihood estimator (MLR) to estimate parameters for non-normally distributed data and derived the explicit expression of latent variables with intercepts. A multiple regression prediction model was built to calculate an overall condition index utilizing those measured distress data. The established pavement distress index prediction model provided a rational estimation of weighting coefficients for each distress type. The prediction model showed that alligator cracking, longitudinal cracking in wheel path, non-wheel path longitudinal cracking, transverse cracking, block cracking, edge cracking, patch and bleeding were significant for the latent pavement distress index.     

Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis

We propose a stochastic frontier approach to estimate budgets for the multiple discrete–continuous extreme value (MDCEV) model. The approach is useful when the underlying time and/or money budgets driving a choice situation are unobserved, but the expenditures on the choice alternatives of interest are observed. Several MDCEV applications hitherto used the observed total expenditure on the choice alternatives as the budget to model expenditure allocation among choice alternatives. This does not allow for increases or decreases in the total expenditure due to changes in choice alternative-specific attributes, but only allows a reallocation of the observed total expenditure among different alternatives. The stochastic frontier approach helps address this issue by invoking the notion that consumers operate under latent budgets that can be conceived (and modeled) as the maximum possible expenditure they are willing to incur. The proposed method is applied to analyze the daily out-of-home activity participation and time-use patterns in a survey sample of non-working adults in Florida. First, a stochastic frontier regression is performed on the observed out-of-home activity time expenditure (OH-ATE) to estimate the unobserved out-of-home activity time frontier (OH-ATF). The estimated frontier is interpreted as a subjective limit or maximum possible time individuals can allocate to out-of-home activities and used as the time budget governing out-of-home time-use choices in an MDCEV model. The efficacy of this approach is compared with other approaches for estimating time budgets for the MDCEV model, including: (a) a log-linear regression on the total observed expenditure for out-of-home activities and (b) arbitrarily assumed, constant time budgets for all individuals in the sample. A comparison of predictive accuracy in time-use patterns suggests that the stochastic frontier and log-linear regression approaches perform better than arbitrary assumptions on time budgets. Between the stochastic frontier and log-linear regression approaches, the former results in slightly better predictions of activity participation rates while the latter results in slightly better predictions of activity durations. A comparison of policy simulations demonstrates that the stochastic frontier approach allows for the total out-of-home activity time expenditure to either expand or shrink due to changes in alternative-specific attributes. The log-linear regression approach allows for changes in total time expenditure due to changes in decision-maker attributes, but not due to changes in alternative-specific attributes.     

Prediction of ground vibration amplitudes due to urban railway traffic using quantitative and qualitative field data

The growth of railway transport in urban areas has lead to an increase in ground vibrations enhancing their negative environmental impact. Therefore is mandatory to predict and control ground vibrations. This work presents a methodology for the determination of prediction models of ground vibration amplitudes due to railway train circulation in urban environments. Using quantitative predictors (train speed and distance) and qualitative predictors (railway track type, dominant geology and building type), being the use of the latter predictors justified by the fact that, most frequently, quantitative parameters are very difficult to obtain in the urban environment due to their characterization. Thus, a detailed statistical study based on the proposal and validation of multiple linear regression models, is successfully applied in order to predict vibration amplitudes produced by railway train circulation, in the considered domain, as function of quantitative and qualitative predictors, easily obtained in field work. A multiple linear regression model for ground vibration prediction due to underground railway traffic has been presented for the Lisbon area.     

轨枕板钢螺纹尼龙套管与硫磺锚固螺栓受力分析

车辆减速器轨枕板上的钢螺纹尼龙套管和硫磺锚固螺栓,在安装使用中,特别在施工新安装减速器时,常发生拔出并破坏混凝土轨枕板事故,造成不必要的损失。分析了钢螺纹尼龙套管和硫磺锚固螺栓在安装时所受到的拔力,以及安装时如何避免发生破坏轨枕板事故。     

Passive control of jacket–type offshore wind turbine vibrations by single and multiple tuned mass dampers

Vibration control is gaining focuses in the field of offshore wind turbines (OWTs) in recent years as the turbine tower becomes taller and more slender. Although a number of research works have been carried out to control the OWT vibrations, using tuned mass damper (TMD) and multiple tuned mass dampers (MTMDs) to control the jacket–type OWT vibrations is rarely reported, especially for the MTMDs, of which the application in the field of OWTs is still in the initial stage. This study focuses on the performance of TMD and MTMDs in controlling the tower vibrations of the jacket–type OWT subjected to the combined wind, wave and current loads, which are the most common external vibration resources for OWTs. The control effectiveness is numerically investigated and evaluated by the reductions of the standard deviation displacement (σ(d)) and the standard deviation acceleration (σ(a)) of the tower top. After the installation of TMD, σ(d) and σ(a) are reduced by 32% and 29% respectively. Larger TMD mass ratios lead to better control effectiveness, but the improvement becomes less obvious as the mass ratios constantly increase. The control effectiveness of the MTMD system is slightly decreased compared with a single large TMD. However, the robustness of MTMDs is superior since the OWT vibrations can still be controlled effectively even if some TMDs do not function. The control effectiveness of the MTMD system can also be affected by the change in the positions of malfunctioned TMDs.     

Analysis of real-time control strategies in a corridor with multiple bus services

Control strategies have been widely used in the literature to counteract the effects of bus bunching in passenger‘s waiting times and its variability. These strategies have only been studied for the case of a single bus line in a corridor. However, in many real cases this assumption does not hold. Indeed, there are many transit corridors with multiple bus lines interacting, and this interaction affects the efficiency of the implemented control mechanism.This work develops an optimization model capable of executing a control scheme based on holding strategy for a corridor with multiple bus lines.We analyzed the benefits in the level of service of the public transport system when considering a central operator who wants to maximize the level of service for users of all the bus lines, versus scenarios where each bus line operates independently. A simulation was carried out considering two medium frequency bus lines that serve a set of stops and where these two bus lines coexist in a given subset of stops. In the simulation we compared the existence of a central operator, using the optimization model we developed, against the independent operation of each line.In the simulations the central operator showed a greater reduction in the overall waiting time of the passengers of 55% compared to a no control scenario. It also provided a balanced load of the buses along the corridor, and a lower variability of the bus headways in the subset of stops where the lines coexist, thus obtaining better reliability for all types of passengers present in the public transport system.     

机车制动系统管接头松脱、泄漏现象的分析及改进

分析目前机车管路上所使用的橡胶密封式管接头松脱、泄漏现象,提出了一系列改进措施,并对比了普通螺纹与具有良好防松效果的施必劳螺纹间的区别。     

Modeling household energy consumption behavior: A comparative analysis

Household decisions on the energy consumption behavior are with regard to the situations that multiple end-uses (e.g., domestic appliances and vehicles) are simultaneously hold and consumed. To deal with this issue, the multiple discrete–continuous models are the best choices from the behavioral perspective. This study compared two types of utility theory-based multiple discrete–continuous models, which are widely applied in the literature: multiple discrete–continuous extreme value (MDCEV) model and the improved resource allocation model based on the multi-linear function (RAM-MLF). A household energy consumption survey was carried out in Beijing in 2010, and the comparative analysis on the performance of these two models is carried out based on the survey data. Results show that the overall performance of RAM-MLF is slightly superior to the MDCEV model due to the incorporation of the inter-end-use interaction and the relative importance of end uses. Moreover, the utility structure by using the satiation parameters to represent the diminishing marginal utility with the increasing consumption shows better fitness than the structure only using the logarithmic function. These findings can be contributed to understand the household energy consumption behavior, while suggest the potential improvement of the model structure, which is mainly focused on the utility form and the decision making mechanism.