电动汽车电池组离散特性的建模与分析

提出了一种基于电池能量状态的串联电池组离散度的概念，建立了用离散度描述串联电池组离散特性的数学模型，并就离散度及其模型的应用和计算进行了分析。     

北京公共交通通勤出行者满意度研究

公交出行满意度是一项乘客对公交直接反馈的重要信息指标,综合反映了一个城市的公交状况。本文在调查研究的基础上建立了北京通勤公交乘客满意度测评模型,根据建立的模型进行调查方案设计、安排调查,最后根据调查数据和所建模型进行测评分析,得出了现状通勤公交乘客的满意度情况,找出其最关心的问题和最需要解决的问题,并提出针对性建议。     

实验室测量仪器设备的检定和校准

从实验室测量仪器设备检定或校准计划的制定、结果的确认及处理、结果的应用以及需重点关注的问题等方面,阐述如何做好检定或校准工作,从而确保实验室检测、校准结果的准确、有效,同时满足实验室认可和计量认证相关标准对仪器设备管理工作的要求。     

站台限界测量新方法及其不确定度分析

对既有站台限界测量设备进行分析,在此基础上提出一种新的站台限界测量方法,即采用位移和编码器角度测量,结合单片机、信号传感技术等测量铁路站台限界。介绍此方法的测量原理,并从横距和竖高2个方面开展测量不确定度分析,从理论上论证此方法的设计精度可满足各类站台限界测量的精度要求。     

城市公交青年司乘人员工作满意度及相关因素分析

本研究在为制定城市公交司乘人员的管理方案提供心理学依据,人员进行了相关调查。结果中等水平;性别、工作时间度有不同程度的影响。表明：城市公交青年司乘人员的一般自我效能通过问卷形式对城市公交青年司乘感、工作压力和满意度均处于一般学历等因素对城市公交青年司乘人员的一般自我效能感、工作压力和工作满意     

传动轴和轮胎不平衡量导致整车异常振动问题的解决方法

针对两台样车产生异常振动的问题进行了分析研究,发现传动轴或轮胎总成在装配定位时不平衡量超出技术要求分别是导致两样车异常振动的主要影响因素。提出了控制产品质量的具体措施,使样车的异常振动现象得到了有效的控制。总结了解决此两类异常振动问题的步骤,规范了类似异常振动问题的处理方法。     

济南市BRT乘客特性和满意度调查分析

为了解济南市BRT所服务的主要人群、出行目的、是否缩短行程时间、是否吸引私家车主乘坐和人们的满意度等问题,对济南市BRT沿线车站的乘客进行了问卷调查。经调查分析表明,乘客对BRT的满意度比较高,认为BRT的最大优势为速度快,基本达到设计目的,但车上比较拥挤,还存在需要完善的地方。     

Superpave混合料在沈山高速公路维修中的应用

本文以沈山高速公路路面维修工程为依托,通过室内外大量沥青混合料试验研究,主要对高性能沥青混凝土Superpave混合料的配合比设计、路面铺筑施工及质量控制等,阐述了Superpave技术在该项目中的应用。     

基于健康度的车载控制器冗余管理方法硏究

车载控制器(CC)是负责地铁列车安全监督和运营管理的核心控制器,列车两端各安装1套车栽控制器(CC1和CC2),实现硬件冗余和软件热备。通过健康参数筛选以及优先级排序,计算得到健康度,用于判定CC的优劣性;并设计了一套切换策略,以实现主备CC无缝切换,保证车载控制器的实时性、冗余性和可靠性。     

On development of arterial fundamental diagrams based on surrogate density measures from adaptive traffic control systems utilizing stop-line detection

A promising framework for understanding flow-density relationship in traffic flow theory is the Fundamental Diagram, originally developed for uninterrupted traffic flow facilities. The concept has been extended to the Arterial Fundamental Diagram (AFD), which has shown that the same relationship holds on arterial streets. However, constructing an AFD is subject to considerable variability in the measured quantities, due to the highly cyclical nature of signalized intersections. In most cases, these diagrams are based on the data from upstream detectors, located away from traffic signals. Recent scientific literature has shown a value of using stop-line detection data to develop AFDs, opening a plethora of opportunities to further investigate traffic dynamics utilizing the data from adaptive traffic control systems (ATCSs). This can, however, be problematic for two major reasons. First, the data may come from detectors unfit to provide good-quality inputs to develop an AFD. Second, such ATCSs may use their own surrogate measures of density and traffic flow, primarily developed for the purpose of controlling traffic, which may be inappropriate for developing fundamental relationships. This study aims to address these issues by investigating appropriateness of using Degree of Saturation (DS), a density-like measure from Sydney Coordinated Adaptive Traffic System (SCATS), to develop an AFD. Empirical SCATS data shows an interesting pattern of the AFD, which cannot be explained by the data itself. Hence, we derive a new analytical model of DS based on the high-resolution signal and detection data, which reveals parameters that drive its behavior. Additionally, we develop the Cyclical Vehicle Arrival and Discharge Model to simulate SCATS-like operations and derive causal relationships between traffic flow variables and density-like performance measures in a controlled environment. The findings show that DS does not have to be a poor estimator of traffic conditions, but when it is combined with SCATS-measured traffic flows it gives a false representation of near-capacity and over-saturated conditions.