驾驶行为研究模拟舱实验整体方案

在介绍AutoSim模拟舱的基本组成、功能的基础上，从交通系统组成的人、车、路的角度，提出了利用驾驶模拟舱进行驾驶行为研究的参数选择、数据库的结构、场景定制等关键技术，并提出了可行的技术路线和实验方案。     

液压驱动车辆的反拖制动性能研究

对液压驱动车辆长下坡制动的性能进行了试验和理论分析，研究泵排量对发动机和液压系统在下坡制动中的影响。对提高液压驱动车辆下坡安全性，为液压驱动车辆合理安排发动机和液压系统制动能力，提高反拖制动性能起到积极作用。     

基于道路特征信息变化率的公路线形质量评价

公路线形质量对行车的舒适性和安全性有着非常重要的影响，如何合理有效地对其进行评价是一个有待解决的问题。从驾驶员行车时接受道路信息的角度出发，提出了道路特征信息变化率的概念，并作为评价公路线形质量的定量指标运用到平面线形、纵断面线形和平纵组合的评价研究中。研究表明：平曲线半径越小，驾驶员接受的道路特性信息变化率越大，驾驶员负担也越重；此外，平曲线长度、竖曲线半径及平纵组合都对道路特性信息变化率有较大的影响。研究成果可为改善公路线形，提高行车安全提供依据。     

仑-大区间隧道过河段盾构掘进难点及措施

文章以广州市轨道交通四号线大学城专线中,仑头至大学城区间右线隧道为例,介绍盾构机过仑头海掘进和在江底被困情况,阐述盾构机过河段掘进难点及处理措施,可供类似工程借鉴。     

汽车底盘测功机辅助驾驶装置的设计及其系统仿真

针对汽车底盘测功机进行试验时的人为误差因素,提出了辅助驾驶装置的设计方案及其模糊控制策略,并利用MATLAB/SIMULINK工具进行仿真。     

超声波测距传感器及其在自动调平系统中的应用

详细介绍了超声波测距传感器的测距原理及其测试精度的影响因素 ,分析了它在自动调平系统应用中的结构形式和提高控制精度的注意事项     

自动驾驶汽车的仿真

随着汽车自动化程度的提高，自动驾驶汽车已成为国内外的研究热点之一。本文设计了一种自动驾驶汽车的模型，它能根据道路的弯曲程度变化实时地计算出车辆的转向角度输入，控制车辆按照预设想道路行吮。     

Sustainability and automobility among the elderly: An international assessment

In the next three decades there will a huge increase in both the absolute number of older people and in their percentage of the populationin almost all Western European countries, North America, and Australia. Most older people will have active lifestyles in which mobility and access play a major role and almost all older men and a majority of older women will be car drivers, used to the convenience and flexibility which the car provides.Using data from the US, Australia, Germany, New Zealand, Norway, and the United Kingdom, the paper shows that, in spite of cultural and policy differences, older people around the world are more likely to have a license, to take more trips, and to do so more often as the driver of a car than older people just a decade ago; they are also less likely to use public transit. These trends have a number of sustainability implications – the most obvious one is increased environmental pollution. For example, even though older people may travel less than younger drivers they may be polluting proportionately more because a) they are less likely to make as great a proportion of trips in public transit as younger people and b) the trips they do make may create more pollutants. In addition, older drivers may incur more wasted miles due to wayfinding errors and trip-scouting behavior. And when older people curtail their driving, younger family members may have to increase (or lengthen) their trip-making to provide needed services or additional transportation.While this paper stresses the environmental problems posed by an aging population, effective strategies arise from a focus on a broader definition of sustainability. The most important approach is to accept the inevitable and work to make the private car "greener" and safer. New transit service concepts and strategic community and neighborhood design and service elements can complement the development of cleaner cars.Although many of the potential strategies are not new, or can be expensive to implement, the convergence of environmental concerns with other problems arising from the automobility of the elderly – including increasing crash rates and serious loss of mobility among those unable to drive – may make these policies more politically viable than in the past.     

Integrated solution for anomalous driving detection based on BeiDou/GPS/IMU measurements

There has been an increasing role played by Global Navigation Satellite Systems (GNSS) in Intelligent Transportation System (ITS) applications in recent decades. In particular, centimeter/decimetre positioning accuracy is required for some safety related applications, such as lane control, collision avoidance, and intelligent speed assistance. Lane-level Anomalous driving detection underpins these safety-related ITS applications. The two major issues associated with such detection are (1) accessing high accuracy vehicle positioning and dynamic parameters; and (2) extraction of irregular driving patterns from such information. This paper introduces a new integrated framework for detecting lane-level anomalous driving, by combining Global Positioning Systems (GPS), BeiDou, and Inertial Measurement Unit (IMU) with advanced algorithms. Specifically, we use Unscented Particle Filter (UPF) to perform data fusion with different positioning sources. The detection of different types of Anomalous driving is achieved based on the application of a Fuzzy Inference System (FIS) with a newly introduced velocity-based indicator. The framework proposed in this paper yield significantly improved accuracy in terms of positioning and Anomalous driving detection compared to state-of-the-art, while offering an economically viable solution for performing these tasks.     

基于CAN总线的船舶自动气象站的研究

为提高船舶气象站的可集成性和维护性,本文构建基于CAN总线的船舶自动气象站。文章对系统总体结构、软硬件设计、传感器选型作了具体描述,以期对实现通用、可扩展的船舶自动气象站具有借鉴作用。