基于VISA技术的高速USB数据采集系统

高速USB数据采集系统的设计严格遵循USB2.0协议,实现了主机和测试设备之间简单、快速、可靠的连接和通信.该文介绍了这种数据采集系统的硬件组成、驱动程序和固件程序的设计以及采用虚拟仪器软件LabWindows/CVI在VISA技术上开发应用程序的设计方法.     

机动车驾驶员注意力的调查研究

通过机动车驾驶员心理素质状况测验量表对3084名机动车驾驶员注意力水平进行了调查,并采用SPSS14．0统计软件对结果进行数据处理,从而分析了各种因素对机动车驾驶员注意力的影响,为研究机动车驾驶员的注意特点、保障安全驾驶提供了理论依据。     

基于数值生物力学模型的汽车正面碰撞中肥胖驾驶员头颈部损伤研究

以THUMS男性50百分位有限元模型为研究对象,使用Hypermesh软件中的Hypermorph功能对THUMS男性50百分位有限元模型进行网格变形,得到一系列不同BMI的肥胖有限元模型.建立了汽车正面100％重叠率碰撞仿真模型,对比了肥胖乘员与非肥胖乘员头、颈部的损伤差异.研究表明,头部损伤部分,BMI并未对HIC...     

船舶区域配电监控系统模块设计

区域配电系统是一种新型的配电系统,可以简化电缆敷设工作,提高船舶生命力,降低船舶建造成本．本文根据区域配电系统的特点提出了区域配电监控系统模块的设计方案．以TMS320F2812DSP为现场监控模块的核心并采用c语言和汇编语言混合编程的方法开发下位机软件;以LabVIEW作为上位机系统开发平台;采用CAN总线作为上、下位机之间的通讯接口．该区域配电监控系统模块具有界面友好、操作简单、功能齐全和扩展方便等优点．     

On the capacity of isolated, curbside bus stops

The maximal rates that buses can discharge from bus stops are examined. Models were developed to estimate these capacities for curbside stops that are isolated from the effects of traffic signals. The models account for key features of the stops, including their target service levels assigned to them by a transit agency. Among other things, the models predict that adding bus berths to a stop can sometimes return disproportionally high gains in capacity. This and other of our findings are at odds with information furnished in professional handbooks.     

Adaptive control algorithm to provide bus priority with a pre-signal

In urban areas, where road space is limited, it is important to provide efficient public and private transportation systems to maximize person throughput, for example from a signalized intersection. To this end, this research looks at providing bus priority using a dedicated bus lane which is terminated upstream of the intersection, and placing an additional signal at this location, called a pre-signal. Although pre-signals are already implemented in some countries (e.g. UK, Denmark, and Switzerland), an adaptive control algorithm which responds to varying traffic demands has not yet been proposed and analyzed in the literature. This research aims to fill that gap by developing an adaptive control algorithm for pre-signals tailored to real-time private and public transportation demands. The necessary infrastructure to operate an adaptive pre-signal is established, and guidelines for implementation are provided. The relevant parameters regarding the boundary conditions for the adaptive algorithm are first determined, and then quantified for a typical case using a micro-simulation model. It is demonstrated with case studies that, under all considered scenarios, implementing a pre-signal with the proposed adaptive control algorithm will result in the least average person delay at the intersection. The algorithm is expected to function well with a wide range of car demands, bus frequencies, and bus passenger occupancies. Moreover, the algorithm is robust to errors in these input values, so exact information is not required.     

Bus arrival time calculation model based on smart card data

Bus arrival time is usually estimated using the boarding time of the first passenger at each station. However, boarding time data are not recorded in certain double-ticket smart card systems. As many passengers usually swipe the card much before their alighting, the first or the average alighting time cannot represent the actual bus arrival time, either. This lack of data creates difficulties in correcting bus arrival times. This paper focused on developing a model to calculate bus arrival time that combined the alighting swiping time from smart card data with the actual bus arrival time by the manual survey data. The model was built on the basis of the frequency distribution and the regression analysis. The swiping time distribution, the occupancy and the seating capacity were considered as the key factors in creating a method to calculate bus arrival times. With 1011 groups of smart card data and 360 corresponding records from a manual survey of bus arrival times, the research data were divided into two parts stochastically, a training set and a test set. The training set was used for the parameter determination, and the test set was used to verify the model’s precision. Furthermore, the regularity of the time differences between the bus arrival times and the card swiping times was analyzed using the “trend line” of the last swiping time distribution. Results from the test set achieved mean and standard error rate deviations of 0.6% and 3.8%, respectively. The proposed model established in this study can improve bus arrival time calculations and potentially support state prediction and service level evaluations for bus operations.     

Is rail cleaner and greener than bus?

The popular consensus is that urban passenger rail is more environmentally friendly than urban passenger bus. This position is largely associated with the key energy source for each mode, respectively electricity and diesel, where electric vehicle use will typically result in local air quality improvements away from the electricity generation source. Surveys of community perceptions reflect this sentiment; however the relationship between the source of energy and its resultant emissions is not something that citizens fully understand. There is a general lack of awareness of the resource base of much of electricity generation in some countries. Where generation sources are suitably renewable or low-carbon, electricity use will offer greenhouse gas abatement potential. However, in countries which still rely heavily on coal-fired power stations, such as Australia, abatement is not as assured and estimating emission outcomes can require careful assessment. Supporters of alternatives to diesel use can focus on the future supply of fossil-fuels, an argument which has merit; however such arguments are often confounded with environmental qualities related to local air pollution and enhanced greenhouse gas emissions. This paper takes a close look at the greenhouse emissions that are associated with urban rail and bus in Australia. Estimated intensities, when presented in the context of effective service delivery (primarily in terms of emissions per passenger kilometre), raise questions about the distortions that are present in the widespread promotion in Australia (at least) of rail as a more environmentally friendly and hence a sustainable mode of urban passenger transport than bus.     

城市主干道快速公交(BRT)系统合理站距规划布局

快速公交系统充分利用道路资源,形成大容量、快捷、舒适的公交服务体系,将是承担我国大中城市出行交通的主体,是解决当前大中城市交通问题的重要途径。论文在研究城市主干道交通流行驶特性的基础上,结合城市道路网及交通特性分析、城市主干道快速公交(BRT)系统的交通功能及主干道沿线用地特征分析,提出了城市主干道快速公交(BRT)系统规划布局的合理站距。