浅析结合用户调研管理汽车感知质量

文章首先综合分析的当前国内乘用车市场形势,提出汽车感知质量提升势在必行,接下来分析了行业内主流的用户调研手段,研究了用户调研与感知质量两者之间的关系,总结了用户调研信息对感知质量管理的作用。     

纯电动商用车电池热管理技术研究

能源危机和环境污染问题已成全球关注的焦点,新能源汽车顺势而为,纯电动汽车采用纯电驱动,更加节能、环保。随着纯电动汽车的发展,车辆的安全性、续航里程能力得到了关注,动力电池的性能很大程度上影响着整车性能,为了提升动力电池系统性能,避免热失控,研究高性能动力电池热管理系统至关重要。     

高职院校教学诊断与改进

文章针对高职院校的招生生源变化和社会环境变化而导致的学生厌学情绪进行分析和诊断,认为传统教学方法已不适用于高职院校,进而重点论述了高职院校教学改革的措施,从教学态度、教学内容和教学方法进行分析,最后得出自己的经验,希望能对高职院校青年教师有所启发。     

武汉光谷国际网球中心与三环线衔接匝道研究

介绍了武汉市三环线武黄立交新增匝道的设计思路、方案调整及匝道车道数研究。通过分析新增匝道建设的主要受控因素,提出了三环线到达及驶离网球中心停车场不同路径的匝道方案,并从多方面对匝道方案进行综合比选。     

宜昌市夜明珠路总体方案研究

结合宜昌BRT(快速公交系统)建设对宜昌市夜明珠路进行改造,受众多因素控制,道路改造难度较高。介绍了工程建设条件及总体设计方案。总体方案结合路线两侧现状地形、控制因素等不同特点,将路线分为沿河线段和合流线段两个典型路段,并进行方案比选,综合各方面因素,得出了推荐方案。     

地铁隧道管片混凝土免蒸养技术研究及其发展

针对蒸汽养护对混凝土可能产生不可逆转的结构破坏和能耗大的问题,采用聚羧酸外加剂的接枝共聚技术,开发出了超早强型的聚羧酸减水剂,并进行了管片混凝土的制备。结果表明,采用超早强型聚羧酸能明显加速水泥的水化进程,促进早期强度的发展,在低温（10℃～20℃）条件下实现管片混凝土的免蒸养,12h可达到管片拆模吊起所需要的强度,这对降低管片混凝土的生产成本、节约能源具有积极的意义     

地铁隧道压底注浆研究

在地铁隧道现场注浆试验的基础上,研究了压底注浆机理,讨论了压底注浆设计、施工要点,比较了注浆后隧道隆起的计算方法;利用现场实测隧道变形资料,通过反馈分析确定了注浆等效压力的经验公式,对地铁隧道下方压底注浆设计与施工有一定的指导意义。     

超大直径海底隧道盾构选型研究

根据复杂地质条件下超大直径海底隧道盾构选型的特点,并结合某海底隧道的工程特点及地质条件,对影响盾构选型的各种主要因素进行了分析,对泥水平衡盾构和土压平衡盾构从各个方面进行了综合比选,最终选择了适合本工程的大直径复合泥水盾构.由于目前国内外大直径复合泥水盾构在复杂地质条件下的工程应用很少,文章回顾了国内外复合泥水盾构类似工程应用情况.通过调查研究表明,大直径泥水盾构的制造及在该海底隧道中的应用是可行的.     

The Alternative Motor Fuels Act, alternative-fuel vehicles, and greenhouse gas emissions

The corporate average fuel economy (CAFE) standard is the major policy tool to improve the fleet average miles per gallon of automobile manufacturers in the US. The Alternative Motor Fuels Act (AMFA) provides special treatment in calculating the fuel economy of alternative-fuel vehicles to give manufacturers CAFE incentives to produce more alternative-fuel vehicles. AMFA has as its goals an increase in the production of alternative-fuel vehicles and a decrease in gasoline consumption and greenhouse gas emissions. This paper examines theoretically the effects of the program set up under AMFA. It finds that, under some conditions, this program may actually increase the production of fuel-inefficient gasoline vehicles, gasoline consumption and greenhouse gas emissions.     

A stochastic model of traffic flow: Theoretical foundations

In a variety of applications of traffic flow, including traffic simulation, real-time estimation and prediction, one requires a probabilistic model of traffic flow. The usual approach to constructing such models involves the addition of random noise terms to deterministic equations, which could lead to negative traffic densities and mean dynamics that are inconsistent with the original deterministic dynamics. This paper offers a new stochastic model of traffic flow that addresses these issues. The source of randomness in the proposed model is the uncertainty inherent in driver gap choice, which is represented by random state dependent vehicle time headways. A wide range of time headway distributions is allowed. From the random time headways, counting processes are defined, which represent cumulative flows across cell boundaries in a discrete space and continuous time conservation framework. We show that our construction implicitly ensures non-negativity of traffic densities and that the fluid limit of the stochastic model is consistent with cell transmission model (CTM) based deterministic dynamics.