现代城市交通规划的人本主义理念

该文从交通领域的人本主义人手,对国外大城市交通建设中的人本主义思潮进行了评析,提出了对于我国大城市交通规划的启示,并对最能体现人本主义理念的“公交优先”和“BRT”进行了解读,最后基于人本主义理念提出了我国现代交通规划的几点建议。     

UML状态图映射为Petri网模型的方法研究

UML广泛应用于软件建模,然而UML是半形式化的,这使得很难对其进行严格的语义分析和正确性验证。状态图作为UML动态描述机制的重要组成部分,同样存在这样的问题。Petri网作为一种图形化建模工具,具有严格的形式化语法语义,而且有很多成熟的分析方法。本文提出了将UML状态图映射为Petri网模型的方法,并结合实例对映射后的模型进行分析,验证了模型的一系列正确性。     

网络计划技术在项目施工管理中的应用

本文简要介绍了网络计划技术在北京城市铁路信号系统设备安装工程管理过程中的应用。     

UML Galaxy Diagram： An Approach of Conceptual Data Integration for OLAP

IntroductionWith the development of contemporary elec-tronic commerce,the multidimensional data analy-sis for On-Line Analytical Processing(OLAP)onthe web makes it necessary to integrate various da-ta sources such as Extensible Markup Language(XML)data and relational data on the conceptuallevel.XML is quickly becoming the new standardfor data representation and exchange on the WorldWide Web[1].At present,the most widespreadconceptual model is the Unified Modeling Lan-guage(UML)which …     

基于AUTOCAD的电气原理图综合系统的开发

为能实现电气图纸信息的数字化，将传统的AUTOCAD绘图方式与CADDS5电气设计进行了较好的融合，从而实现了在AUTOCAD环境下绘制电气原理图，取代了在CADDS5电气模块中原理图繁琐的输入环节。     

智能水箱风扇电动机控制系统

介绍商用车水箱风扇电动机控制系统的一种优化方式,精确控制水箱风扇电动机工作的温度范围,从而提升整车性能。     

基于交叉口双站台的BRT 优先控制研究

为解决交叉口因BRT优先影响其他车辆通行问题，提出基于交叉口双站台的BRT 优先控制方法. 给出交叉口BRT双站台设置方法，对比分析BRT在交叉口单、双站台的平均延误. 根据BRT发车时刻、交叉口信号配时、BRT平均车速、交叉口间距及站台停靠时间等，制定 BRT站台预停靠方案和行车时刻表. 为确保BRT按照预停靠站台及时刻表运行，采用BRT车速引导与信号配时双重补偿修正BRT 实际离站时刻与时刻表的偏差. 以常州BRT 1 号线为例，对应用本文方法的5 个交叉口进行分析. 结果表明：BRT在每个站台实际离站时刻偏差范围为±5 s、±10 s、±20 s 时，本文优先控制方法显著减少BRT停车次数和延误，提高了BRT整体运营效率.     

On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models

The speed-density or flow-density relationship has been considered as the foundation of traffic flow theory. Existing single-regime models calibrated by the least square method (LSM) could not fit the empirical data consistently well both in light-traffic/free-flow conditions and congested/jam conditions. In this paper, first, we point out that the inaccuracy of single-regime models is not caused solely by their functional forms, but also by the sample selection bias. Second, we apply a weighted least square method (WLSM) that addresses the sample selection bias problem. The calibration results for six well-known single-regime models using the WLSM fit the empirical data reasonably well both in light-traffic/free-flow conditions and congested/jam conditions. Third, we conduct a theoretical investigation that reveals the deficiency associated with the LSM is because the expected value of speed (or a function of it) is nonlinear with regard to the density (or a function of it).