Plate scanning tools to obtain travel times in traffic networks

The management of vehicle travel times has been shown to be fundamental to traffic network analysis. To collect travel time measurement, some methods focus solely on isolated links or highway segments, and where two measurement points, at the beginning and at the end of a section, are deemed sufficient to evaluate users' travel time. However, in many cases, transport studies involve networks in which the problem is more complex. This article takes advantage of the plate scanning technique to propose an algorithm that minimizes the required number of registering devices and their location in order to identify vehicles candidates to compute the travel times of a given set of routes (or subroutes). The merits of the proposed method are explained using simple examples and are illustrated by its application to the real network of Ciudad Real.     

基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法研究

针对城市轨道交通PPP融资成本高、投资回收期长、不确定性因素多等特点导致整个融资过程充满风险,且难以进行科学的评价,进而增加风险评价难度的问题,提出基于OWA与灰色聚类的城市轨道交通PPP融资风险评价方法。首先从全寿命周期角度构建城市轨道交通PPP融资风险指标体系。然后基于OWA算子对专家决策数据按照降序的方式重新排序,消除极值带来的不利影响,加权得出指标的权重值。最后考虑指标的灰色性、信息不完整性,构建灰色白化权函数实现指标信息的透明化,完成对PPP融资风险的聚类分析。应用构建的模型对郑州地铁1号线一期工程PPP融资风险进行评价,认为该地铁工程PPP融资风险等级高,应重点关注前期策划、社会资本、政策环境、设计质量、成本超支、建设质量、残值7个主要风险指标的控制,以期为该项目融资风险管理提供建议,并进一步丰富城市轨道交通PPP融资风险的评价方法。     

水中悬浮隧道交通荷载模拟方法研究

为研究水中悬浮隧道交通荷载的合理模拟方法以及交通荷载对隧道结构的影响,借鉴铁路、公路交通荷载的模拟方法,综合考虑车辆轮载、路面不平度、行车速度以及外部激励荷载等影响因素的共同作用,提出水中悬浮隧道交通荷载的模拟表达式。通过数值模拟计算,分析悬浮隧道交通荷载的变化特征,并研究不同交通荷载模拟方法对悬浮隧道结构振动位移响应的影响。结果表明:文章提出的交通荷载模拟方法计算结果符合移动振动荷载的波动性和周期性特征。在对结构振动位移响应影响方面,固定均布荷载相当于静载,移动集中荷载和移动振动荷载时的位移变化幅值相对固定均布荷载时的大且影响相似,但移动振动荷载时的振幅稍大,体现了交通荷载中动荷载部分对结构振动位移响应的影响,更适合用来模拟悬浮隧道中的交通荷载。     

基于小波和粒子群算法的HEV行驶状况辨识方法研究

针对混合动力汽车(HEV)行驶状况(道路坡度和整车载荷)变化难以有效识别,导致驱动系统控制策略不能有效满足驾驶员意图问题,以混联式HEV为研究对象,提出了基于小波滤波和粒子群算法的HEV行驶状况辨识方法。首先建立了汽车行驶状况辨识模型,采用最小二乘法确立了优化目标函数,其次研究了基于小波滤波和粒子群算法的HEV行驶状况辨识原理,最后进行了行驶状况粒子群智能算法辨识试验。在采集实车数据的基础上,对实车数据进行小波滤波,并运用行驶状况辨识方法对道路坡度和整车载荷进行了辨识,并对辨识结果进行小波滤波,结果表明,试验工况下整车载荷辨识的相对误差绝对平均值为2.71%,道路坡度辨识的相对误差绝对平均值为3.85%,验证了所提出方法的有效性。     

面向控制的SCR催化转化器温度模型

为了建立面向控制的SCR催化器温度模型,根据能量守恒和质量守恒方程并考虑热平衡中所涉及的换热过程不同,建立了4种SCR催化器温度的数学模型,并利用Matlab/Simulink构建图形化的计算模型。采用柴油机欧洲稳态循环(ESC)和欧洲瞬态循环(ETC)条件下的台架实测数据对模型进行检验,基于最大离散程度、拟合度和计算时间3个指标对模型进行评价和比较。结果表明,考虑催化器与废气和周围环境对流换热的温度模型具有良好的预测精度和实时性,更适合用于SCR控制策略。     

新加坡公共交通发展经验及启示

通过实际考察和走访咨询,系统地总结了新加坡的公共交通发展经验。首先介绍了新加坡对小汽车和公共交通发展采取的＂推、拉策略＂,以及新加坡公共交通的发展历程。在此基础上,对新加坡公共交通发展的成功经验进行了归纳和总结,包括管理机制、公共交通设施建设、公共交通运营系统、政策法规等方面的内容。结合我国城市交通发展的现状和特点,对城市公共交通的发展提出了措施和建议。     

公交通行能力约束的智能调度优化模型

公交通行能力是解决城市交通拥堵问题、促进城市公共交通系统高效运行的要素之一。介绍了公交通行能力的计算要素,并针对目前我国城市由于盲目调度造成的公交系统运营效率、服务水平下降的问题,提出将公交通行能力作为约束条件对公交调度进行优化。鉴于公交企业制订调度方案时需兼顾公交服务水平和企业效益,将智能调度的目标确定为候车时间满意度、候车空间满意度、车内舒适满意度和企业满意度加权平均值最大,并给出了相应的计算方法。最后讨论了利用遗传算法对模型进行求解的过程。     

Effects of rosiglitazone on rabbit atherosclerosis

We sought to validate magnetic resonance imaging(MRI) for documenting the effects of rosiglitazone on rabbit atherosclerosis and the possible mechanism by treatment on the lesions.24 New Zealand white rabbits were randomly divided into normal group, control group and treatment group.After 4 weeks, all rabbits underwent MRI.After examination, the number of circulating endothelial progenitor cells(EPCs) and level of lipid, glucose, nitric oxide(NO) and superoxide anion(O-2·) were measured.MRI demonstrated the regression of atherosclerotic lesions by rosiglitazone which has good correlation with histopathology.Treatment not only increased the level of EPCs and NO, but also raised the ability of inhibition of O2-·.MRI is a promising noninvasive technology to detect the effects of therapeutic interventions.Rosiglitazone slows the progression of atherosclerosis that may in part attribute to its improvement of mobilization of EPCs and the reduced oxidative stress.     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.