EB3Ⅲ分布在枯水频率分析中的应用

概述了枯水频率分析的研究进展,结合枯水频率分析的特点,以南运河系清漳河刘家庄水文站的枯水径流系列为研究对象,采用一种新的模型——邵氏扩展3参数BurrⅢ型分布,并与皮尔逊Ⅲ型（P3）模型进行比较.统计检验结果表明,该模型与皮尔逊Ⅲ型拟合和预测效果都比较好.特别是在处理频率曲线尾部出现水平以及较高保证率下设计值小于零的问题上,要优于P3分布.并采用极大似然法进行参数估计,为枯水频率分析提供了一条新的途径.     

随机条件下固定公交线路服务频率优化模型

在考虑客流需求波动及车辆运行时间随机变动的情况下,建立了以乘客候车期望和公交车辆利用率总体最优为目标的公交线路服务频率优化模型.利用蒙特卡罗方法随机模拟一条高频线路的公交服务,计算得到了给定线路参数下的最优服务频率.算例表明该模型可用来确定高频服务公交线路的发车时间间隔.     

基于PLC和变频器的船舶机舱风机调速系统设计

在分析船舶机舱风机变频调速原理和节能效果的基础上,介绍了基于PLC和变频器的船舶机舱风机调速系统的变频控制设计方案.     

基于800/900MHz频段的组合式电子收费车道设计

根据目前国内高速公路联网收费实际和技术条件,结合重庆市电子车牌项目作为省级区域国家级信息化试点的要求,提出了将基于800/900 MHz频段的组合式电子收费车道作为ETC(Electronic Toll Collection,电子不停车收费)快速通行手段的设计方案。该方案与目前MTC(Manual Toll Collection,人工半自动收费)的技术条件和实际环境兼容,并且投资成本低,具有较高的实用性和可操作性。     

提高固定资产投资价格统计数据质量的探讨

文章针对目前建筑安装工程固定资产价格统计工作的现状,分析影响施工企业固定资产投资价格统计数据质量的主要因素,从把握工作重点的原则和解决工作难点等四个方面,提出了提高施工企业固定资产投资价格统计数据质量的对策。     

感潮河段深水航道乘潮保证率及疏浚维护

以长江太仓—江阴河段12.5 m深水航道实测资料为依据,统计计算沿程不同季节潮位特征值及大型船舶通航的乘潮保证率,探讨不同季节满足设计通航标准的航道水深,进而提出深水航道分季节的变水深维护方案。     

录音技术在铁路频率信号测试领域的应用

ZPW-2000A系列低频信号丰富、载频种类多,专用测试机具价格贵。因此,提出将录音技术用于铁路频率信号测试领域,建立标准频率信号资源库,替代低频信号源。以ZPW-2000A、UM71系列设备的检测为例,介绍标准频率信号资源库的原理、制作和应用。     

更高速度条件下铁路简支箱梁关键参数研究

针对梁体基频、竖向刚度等参数,概述我国高速铁路桥梁参数的研究思路及成果、参数设计及运营现状,采用车桥竖向相互作用程序分析铁路简支箱梁动力响应规律。结果表明,梁体基频为设计参数的控制因素,梁体实测梁体基频高于设计值和规范限值,梁体刚度存在一定的储备;时速350 km的高速铁路简支箱梁可适应更高速度420 km/h的运营要求;420 km/h速度等级高速铁路简支箱梁关键参数可参考350 km/h速度等级相关参数;40 m跨度车桥动力响应明显降低,梁体基频等动力参数不再控制梁体设计,建议开展高速铁路更大跨度简支箱梁应用研究。     

纵向受压构件的横向固有频率与纵向力关系的研究

研究了简支纵向受压杆件和板结构的横向固有频率与临界荷载，得出固有频率的平方与纵向 力成线性关系的结论，表明ω2～P的关系是一条直线。     

Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers

For developing sustainable travel policies, it may be helpful to identify multimodal travelers, that is, travelers who make use of more than one mode of transport within a given period of time. Of special interest is identifying car drivers who also use public transport and/or bicycle, as this group is more likely to respond to policies that stimulate the use of those modes. It is suggested in the literature that this group may have less biased perceptions and different attitudes towards those modes. This supposition is examined in this paper by conducting a latent class cluster analysis, which identifies (multi)modal travel groups based on the self-reported frequency of mode use. Simultaneously, a membership function is estimated to predict the probability of belonging to each of the five identified (multi)modal travel groups, as a function of attitudinal variables in addition to structural variables. The results indicate that the (near) solo car drivers indeed have more negative attitudes towards public transport and bicycle, while frequent car drivers who also use public transport have less negative public transport attitudes. Although the results suggest that in four of the five identified travel groups, attitudes are congruent with travel mode use, this is not the case for the group who uses public transport most often. This group has relatively favorable car attitudes, and given that many young, low-income travelers belong to this group, it may be expected that at least part of this group will start using car more often once they can afford it. Based on the results, challenges for sustainable policies are formulated for each of the identified (multi)modal travel groups.