基于红外路径识别的智能车控制系统设计

介绍一种基于模拟式红外光电传感器路径识别的智能车控制系统,使用飞思卡尔公司16位单片机MC9S12DG128为核心控制单元,采集红外传感器信号智能分析导引线路径信息,自动控制舵机转向,并对智能车的直流驱动电机实现PID调速控制。     

基于速度系数法的离心泵叶轮优化设计

离心泵在水力设计中应保证达到设计参数的要求,有较高的水力效率和良好的汽蚀性能.以离心泵水力设计的速度系数法为前提,应用机械优化设计的方法,以离心泵的效率和汽蚀性能为优化目标建立了离心泵叶轮的优化设计模型,并通过实例计算证明了该方法是切实可行的.     

车辆电磁制动方案刍议

结合机车车辆制动系统的运行情况,对电磁制动系统进行了初步探讨.提出了两种电磁制动方案:单电磁铁失电制动和双电磁铁得电制动.方案能够初步解决电磁制动系统中的一些技术难点,如减轻闸瓦间隙消除过程中闸瓦与车轮间的机械碰撞、电磁力的计算与控制、制动力的放大与传递等.     

清管器在输油管道中的运动规律研究

在分析清管物理模型的基础上,建立了清管器前段塞流动的特征参数计算模型、动态数学模型以及相应的数值计算方法,并进行了数值模拟。利用数学模拟方法可以计算清管过程中管线的压力分布,利用压力分布可以跟踪清管球在管线内的运行,这为混输管路的运行管理提供了理论依据。     

新型聚氨酯碎石空心块体生态堤结构构建*

为降低工程对河口环境的不利影响、提升生态效应,依托长江口南槽航道治理一期工程整治建筑物工程进行生态堤结构研究。根据长江口生物类群生态特征并结合工程影响因素,确定大型底栖动物作为目标生物研究对象,分析给出主要优势物种的生境需求特性和关键指标。在此基础上,提出新型生态聚氨酯碎石空心块体结构,给出堤身结构设计形式,并通过流体动力学数值方法对比研究不同块体平面组合布置方式。提出新型空心块体结构的施工工艺,进行结构吊运内力有限元分析,并通过实际施工试验验证可行性。     

Subjective well-being and travel: retrospect and prospect

Although the improvement of well-being is often an implicitly-assumed goal of many, if not most, public policies, the study of subjective well-being (SWB) and travel has so far been confined to a relatively small segment of the travel behavior community. Accordingly, one main purpose of this paper is to introduce a larger share of the community to some fundamental SWB-related concepts and their application in transportation research, with the goal of attracting others to this rewarding area of study. At the same time, however, I also hope to offer some useful reflections to those already working in this field. After discussing some basic issues of terminology and measurement of SWB, I present from the literature four conceptual models relating travel and subjective well-being. Following one of those models, I review five ways in which travel can influence well-being. I conclude by examining some challenges associated with assessing the impacts of travel on well-being, as well as challenges associated with applying what we learn to policy.

     

Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System (or a number of other positioning sensors) with a spatial road map with the aim of identifying the road segment on which a user (or a vehicle) is travelling and the location on that segment. Amongst the family of MM algorithms consisting of geometric, topological, probabilistic and advanced, topological MM (tMM) algorithms are relatively simple, easy and quick, enabling them to be implemented in real-time. Therefore, a tMM algorithm is used in many navigation devices manufactured by industry. However, existing tMM algorithms have a number of limitations which affect their performance relative to advanced MM algorithms. This paper demonstrates that it is possible by addressing these issues to significantly improve the performance of a tMM algorithm. This paper describes the development of an enhanced weight-based tMM algorithm in which the weights are determined from real-world field data using an optimisation technique. Two new weights for turn-restriction at junctions and link connectivity are introduced to improve the performance of matching, especially at junctions. A new procedure is developed for the initial map-matching process. Two consistency checks are introduced to minimise mismatches. The enhanced map-matching algorithm was tested using field data from dense urban areas and suburban areas. The algorithm identified 96.8% and 95.93% of the links correctly for positioning data collected in urban areas of central London and Washington, DC, respectively. In case of suburban area, in the west of London, the algorithm succeeded with 96.71% correct link identification with a horizontal accuracy of 9.81 m (2σ). This is superior to most existing topological MM algorithms and has the potential to support the navigation modules of many Intelligent Transport System (ITS) services.     

Estimation of origin-destination matrices from link counts and sporadic routing data

Estimation of origin-destination (OD) matrices from link count data is a challenging problem because of the highly indeterminate relationship between the observations and the latent route flows. Conversely, estimation is straightforward if we observe the path taken by each vehicle. We consider an intermediate problem of increasing practical importance, in which link count data is supplemented by routing information for a fraction of vehicles on the network. We develop a statistical model for these combined data sources and derive some tractable normal approximations thereof. We examine likelihood-based inference for these normal models under the assumption that the probability of vehicle tracking is known. We show that the likelihood theory can be non-standard because of boundary effects, and provide conditions under which such irregular behaviour will be observed in practice. For regular cases we outline connections with existing generalised least squares methods. We then consider estimation of OD matrices under estimated and/or misspecified models for the probability of vehicle tracking. Theoretical developments are complemented by simulation experiments and an illustrative example using a section of road network from the English city of Leicester.     

超空泡航行体加速过程流动特性研究

超空泡航行体加速过程是航行体进入高速巡航状态的重要阶段。为了深入了解超空泡航行体加速过程中的流动特性,文中采用基于欧拉两流体模型的CFD方法以及基于相对运动的源项法对超空泡航行体全沾湿加速过程、通气加速过程进行了数值模拟,其中全沾湿过程主要研究了加速过程附加质量变化规律,通气加速过程研究了通气量、重力效应以及航行体攻角对空泡发展速度的影响。研究结果表明全沾湿加速过程中由于加速度较大,附加惯性力影响不能忽略;通气量、航行体攻角对超空泡生成速度均有较大影响,当速度达到50 m/s以上时,重力效应对空泡生成速度影响可以忽略。     

Factors associated with home-based e-working and e-shopping in Nanjing,China

The widespread adoption of information and communication technology has facilitated frequent e-activities in people’s daily life. From the perspective of individual’s time use on e-working and e-shopping at home, this paper aims to enhance our understanding of the function of home beyond a living space for family life. Using a household survey of 608 full-time paid employees who conducted e-activities at home in Nanjing, China, we investigated the characteristics and patterns of home-based e-working and e-shopping. Only 7.9% of the respondents neither e-shopped nor e-worked at home. We find that the socio-demographic context, Internet use habits, attitudes towards e-working/e-shopping, and geographical accessibility have influenced the patterns of home-based e-working and e-shopping. The results indicate that the rich e-activities taking place at home have changed the time use at home and reinforced the function of home as a multifunctional hub.