构建科学的员工绩效管理体系探讨

文章针对当前国有企业绩效管理中常见问题,分析存在问题的原因,并结合企业绩效管理实践,提出建立和改善绩效管理体系的对策和建议。     

Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China

Short-term forecasting of high-speed rail (HSR) passenger flow provides daily ridership estimates that account for day-to-day demand variations in the near future (e.g., next week, next month). It is one of the most critical tasks in high-speed passenger rail planning, operational decision-making and dynamic operation adjustment. An accurate short-term HSR demand prediction provides a basis for effective rail revenue management. In this paper, a hybrid short-term demand forecasting approach is developed by combining the ensemble empirical mode decomposition (EEMD) and grey support vector machine (GSVM) models. There are three steps in this hybrid forecasting approach: (i) decompose short-term passenger flow data with noises into a number of intrinsic mode functions (IMFs) and a trend term; (ii) predict each IMF using GSVM calibrated by the particle swarm optimization (PSO); (iii) reconstruct the refined IMF components to produce the final predicted daily HSR passenger flow, where the PSO is also applied to achieve the optimal refactoring combination. This innovative hybrid approach is demonstrated with three typical origin–destination pairs along the Wuhan-Guangzhou HSR in China. Mean absolute percentage errors of the EEMD-GSVM predictions using testing sets are 6.7%, 5.1% and 6.5%, respectively, which are much lower than those of two existing forecasting approaches (support vector machine and autoregressive integrated moving average). Application results indicate that the proposed hybrid forecasting approach performs well in terms of prediction accuracy and is especially suitable for short-term HSR passenger flow forecasting.     

Modeling the Car-Truck Interaction in a System-Optimal Dynamic Traffic Assignment Model

Several transportation problems, such as implementation of truck-only lanes, require understanding the interaction of heterogeneous dynamic traffic flows in order to provide accurate solutions. System-optimal dynamic traffic assignment can be modeled using a network loading procedure based on the cell transmission model, that is, the hydrodynamic wave model, and solved by linear programming. However, this framework cannot handle the asymmetric integration between the flow of trucks and cars. This article presents a novel formulation for network loading in system-optimal dynamic traffic assignment considering car–truck interactions. By using an embedded cell transmission model, this formulation incorporates a set of assumptions related to the kinematic characteristics of the flow of cars, trucks, and their interactions that can be solved using linear programming. We present numerical results supporting our modeling assumptions. Likewise, the observed emergent behavior captures the car–truck interactions accurately and indicates that minimum system-optimal travel time is obtained by encouraging cars to use highways with shorter distances.     

基于非参数回归的快速路行程速度短期预测算法

基于北京市快速路上的检测器所采集的历史数据，经过数据筛选，剔除判别，小波滤噪平稳处理，聚类分析等过程，建立了交通状态演变系列的历史样本数据库。基于所构建的历史数据库，通过数值试验，确定了状态向量、距离匹配原则，K近邻值等参量，构建了一种基于K近邻的非参数回归短时交通预测模型，实现了对路段行程速度的短时预测。最后，利用随机选取的历史数据系列对预测模型的精度进行了检验。结果表明，预测算法的精度可以达到90％以上，可以很好地满足ITS应用系统对于交通预测数据的精度要求。     

键合图理论在汽车系统分析与控制中的应用

本文分析了键合图理论特点，简介了键合图基本原理及国内外发展概况，重点论述了键合图理论在汽车系统分析与控制的建模和仿真的应用。     

串联式振动压路机行走驱动系统参数的选择计算

串联式振动压路机行走驱动系统的设计必须满足其在各种工况下的要求,并高效地利用发动机所提供的能量.本文通过对串联式振动压路机行走驱动系统参数的分析,提出合理选择各环节参数,如:分动箱传动比,液压泵排量和轮边减速比的计算方法.     

日野ZY240H载货自卸车制动系统

日野ＺＹ２４０Ｈ２０吨自卸车的制动系统采用双回路独立全气压式工作系统，前轮和后轮制动各用一个独立执行气压制动回路，前桥和后桥后轮采用膜片制动气室，后桥前轮设置了弹簧储能复合制动气室，又设置了一套手动控制的制动系统，作为紧急制动系统失效后的第二种制动方法。另外，还有排气缓速装置和机械手制动，详细介绍了该系统的工作原理和主要部件的功用。     

UH181全液压挖掘机液压系统换油工艺

针对UH181全液压挖掘机液压系统,给出了详尽的换油工艺,为确保液压系统换油过程中免于污染提供了合理的操作步骤.     

城乡公交统筹发展策略研究

在阐述我国城乡公交统筹发展必要性的基础上,着重分析了目前城乡客运体系发展差距的症结所在,解析城乡公交统筹发展的内涵,以管理体制、政策法规、站场设施、市场建设4个方面的统筹为切入点,探讨了我国城乡公交统筹发展的具体策略。     

基于EXCEL滑坡地质灾害技术分析系统的开发

当前的滑坡地质灾害预报预测存在很多问题,如精度不高、现场技术人员难以应用等,无法指导滑坡治理过程中的灾害防治。文章在简单易用的EXCEL软件的基础上进行二次开发,内嵌地质灾害技术标准,充分利用EXCEL软件中宏及VBA编程运算功能,开发滑坡地质灾害分析系统;较易应用到现场施工过程当中,同时也可以进行挂接相关的其他程序;为施工单位提供决策依据。