相互闭锁反向过流继电器在地铁交流供电系统中的应用

分析了地铁链接供电的特点.指出了当链接站点过多时,后备过流保护按照阶梯式原则整定的时限存在超出主变电所允许的最大时限的问题;提出了相互闭锁反向过流继电器新原理.应用此继电器,结合常规的光纤纵差和过流保护,从而构成一个完备的保护方案.不仅能链接任意多的站点,而不超出主变电所允许的最大时限,而且能简化系统接线方式,简化系统操作,有利于安全运行,且不增加额外投资.     

直流1 500 V牵引供电系统框架保护特性

以广州地铁为例,分析直流1 500 V牵引供电系统框架保护的应用.对其故障特点、保护类型、整定方式及双边联跳后的措施进行了详细的分析.根据实际运营情况,提出了当前框架保护存在的局限性及对应的改进方法,即正确选定电压型框架保护和轨电位限制装置的整定值,以确保负极电位高时轨电位限制装置先动作;在运行中,须采取必要措施将正常工况下的负极电位控制在允许范围内;确保框架对地绝缘、牵引直流的正负级间绝缘和钢轨对地及其他设备间的绝缘处于良好状态.     

城市轨道交通牵引供电系统整流机组的接入与输出方案

阐述了城市轨道交通牵引供电系统整流机组接入与输出方案.在此基础上对各方案进行了经济、技术分析,指出其优缺点和适用场合,并结合实际情况分析了其运行方法.接入时一般选择两套整流机组分别通过两台断路器与交流母线相连的方案,输出时可采用电动隔离开关或直流快速断路器.     

2006年武汉市城市交通状况分析

从机动车保有量持续增长、私人小汽车进入家庭的步伐不断加快的问题入手,对2006年武汉市城市交通状况进行了分析:城市公共交通虽然有了一定进步,但仍然存在不少问题;城市停车缺口将继续扩大,2007年停车难将进一步加剧;重点地区如中心区、商业区与过江交通拥堵加剧,并且问题越来越严重.在此基础上,对城市交通问题提出了思考与对策,从交通供给与需求、居住与就业、交通管理与公共交通策略等几方面进行了论述,指出优先发展城市公共交通是"实施国家可持续发展、建设资源节约型社会、环境友好型社会、构建和谐社会等重大战略的重要组成部分".     

对广州市停车配建指标修订的思考

在介绍现行停车配建指标实施情况的基础上,提出了广州市停车配建指标修订采取的区域差别化、分类别停车供应、加强居住区停车设施、建设一体化交通系统等基本思路,以及建议的停车配建指标的主要成果.停车配建指标的实施将有力促进新形势下广州市停车设施的建设,增加停车位的有效供应.     

太原市交通现状及改善建议

该文阐述了太原市道路网、公共交通及停车场的现状,并对存在问题提出了改善的建议及措施,以缓解城市交通压力。     

带超速保护功能的柴油机机旁气动操作系统设计

柴油机控制系统主要有气动控制系统、电-气混合控制系统、微机式控制系统、可编程控制器控制系统等,目前,我国大量船舶上使用的是气动控制系统或电-气混合控制系统,机旁气动操作系统是以上两种控制系统的重要组成部分。本文主要介绍了一种带超速保护功能的柴油机机旁气动操作系统,提高了柴油机旁气动操作系统的安全性。     

市政给中水管道设计优化分析

市政给排水管道结构设计是一项关乎管道安全的重要设计,设计人员往往根据以往经验和常规做法进行管道设计,忽略了管道安全计算,这将直接影响城市市政道路给排水管道工程的质量。结合实际项目,对给水、中水管道的常规管材球墨铸铁管进行结构计算分析,并根据计算结果选择相应的措施,进一步完善市政管道设计,在满足设计规划、规范和要求的基础上,提高设计质量,确保城市道路市政给排水管道正常、高效地运行。     

The accuracy of proxy responses in a stated choice setting: A re-examination and some controversial conclusions

Data is typically gathered from an individual respondent who represents the group or the household. This individual is often identified as the “primary decision maker” and is asked to provide responses as a proxy for the group given that the cost of interviewing each member individually is impractical and/or expensive. The collection of joint preferences is rarely undertaken, with the use of proxy responses not uncommon in travel behaviour research. Under such a framework, there exists an assumption that the primary decision maker has perfect knowledge of other group member preferences, and bargaining behaviour, and is able to synthesise this information when providing a response on their behalf. The validity of such an assumption however remains an open question, with recent research calling the reliability of proxy responses into account (Bateman and Munro, 2009). In this paper, using three models estimated in willingness to pay space, we examine the accuracy of proxy responses in a stated choice experiment. We find that there is overlap between a proxy response and the own preferences of the individual providing the proxy choice, but while the proxy responses fail to represent the full preference heterogeneity that exists in the actual choices made by individuals, the proxy responses in aggregate provide a suitable replacement for actual data, subject to a number of caveats.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.