润扬长江公路大桥GPS +北斗变形监测系统应用探索

润扬大桥结构健康监测系统中的整体变形监测采用美国GPS全球卫星定位系统,主要用于监测悬索桥桥身和桥塔的结构位移.为解决GPS的RTK短期失锁问题,提高监测可靠度和精度,在润扬大桥GPS监测系统升级中,采用GPS＋北斗的新监测方法,文章介绍了GPS＋北斗监测系统的工作原理,并对其精度进行验证,结果表明,GPS与北斗卫星导航系统的联合使用提高了解算成功率,解决了RTK失锁问题.     

基于VPS的电子收费技术研究

基于VPS的电子收费系统是目前世界上正在蓬勃发展的道路收费系统。研究了VPS电子收费系统的系统原理和工作原理；比较分析各种电子收费系统的优劣，研究VPS电子收费技术的适用性；最后展望了这种收费技术在我国的应用前景。     

生命能量系统动力学方程平衡点值的一种定量分析法

用解析几何作为一种近似的方法讨论了生命能量系统动力学模型中两个典型方程解函数平衡点的求解问题，研究结果表明，每一方程的奇点轨迹是一对双曲线，而方程组的平衡点则是两组双曲线的交点，结果认为：方程组的平衡点可以通过求解两组双曲线的渐近线的交点得到近似值，这是生命能量系统的动力学特性定性分析工作的一个重要部分。     

基于Multi-Agent System的跟驰模型

利用Agent相关理论,基于多个相互协作的Agent,构建了基于Multi-Agent System的跟驰模型,具体给出了各Agent的结构和元组构成,以使车辆在跟驰环境下能自适应、主动地对环境进行响应并做出决策.此外,基于构建的跟驰模型给出了数值仿真实例,并得到合理结论.     

SNS系统质量检验评定标准探讨

SNS系统应用于公路边坡治理 ,目前尚不多见 ,在相关的国标和部标中 ,还无具体的质量检验评定标准 ,结合攀枝花市炳草岗大桥桥头边坡SNS系统应用的实例 ,对该技术的检评内容和标准进行探讨和研究     

模糊控制在啤酒发酵过程中的应用

啤酒发酵过程中,温度直接决定啤酒的质量。文章介绍了由分级分布式计算机组成的温度控制系统的硬件、软件的组成及控制方法,着重讨论了模糊控制在其中的应用。     

基于AIS数据的渔业船舶碰撞风险度评估模型

构建一种渔业船舶碰撞风险度评估模型,并对其求解方法和计算流程进行设计.将该模型应用到基于船舶自动识别系统(Automatic Identification System,AIS)数据的渔业船舶安全管理与评价系统开发中,在系统中进行AIS数据库重构和数据深度挖掘,引入模糊数学方法和层次分析法,实现对渔业船舶碰撞风险度的科学评估和预测.测试结果表明:构建的渔业船舶碰撞风险度评估模型和开发的渔业船舶安全管理与评价系统可靠,预测的结果可信,可为渔业船舶的安全管理和评价提供科学的方法.     

基于单目视觉车距测量方法综述

车距测量是高级驾驶辅助系统(ADAS)的关键技术,是前碰撞预警和自适应巡航等功能的基础,单目摄像头相比于毫米波雷达等传感器价格低廉,获取图像信息量丰富,在ADAS系统中应用广泛,很多学者对单目测距技术进行了深入研究。论文主要介绍了四种基于单目视觉的车距测量方法,详细阐述了几何关系法、成像模型法、数据回归建模法和逆透视变换法的原理及测距模型,通过分析基本测距方法的不足,逐步介绍其改进形式。最后给出了每一种方法的特点,并对发展趋势进行展望。     

Performance measure for reliable travel time of emergency vehicles

Travel time is very critical for emergency response and emergency vehicle (EV) operations. Compared to ordinary vehicles (OVs), EVs are permitted to break conventional road rules to reach the destination within shorter time. However, very few previous studies address the travel time performance of EVs. This study obtained nearly 4-year EV travel time data in Northern Virginia (NOVA) region using 76,000 preemption records at signalized intersections. First, the special characteristics of EV travel time are explored in mean, median, standard deviation and also the distribution, which display largely different characteristics from that of OVs in previous studies. Second, a utility-based model is proposed to quantify the travel time performance of EVs. Third, this paper further investigates two important components of the utility model: benchmark travel time and standardized travel time. The mode of the distribution is chosen as benchmark travel time, and its nonlinear decreasing relationship with the link length is revealed. At the same time, the distribution of standardized travel time is fitted with different candidate distributions and Inv. Gaussian distribution is proved to be the most suitable one. Finally, to validate the proposed model, we implement the model in case studies to estimate link and route travel time performance. The results of route comparisons also show that the proposed model can support EV route choice and eventually improve EV service and operations.     

Effect of providing traffic information estimated by a stochastic network equilibrium model with stochastic demand

To estimate travel times through road networks, in this study, we assume a stochastic demand and formulate a stochastic network equilibrium model whose travel times, flows, and demands are stochastic. This model enables us to examine network reliability under stochastic circumstances and to evaluate the effect of providing traffic information on travel times. For traffic information, we focus on travel time information and propose methods to evaluate the effect of providing that information. To examine the feasibility and validity of the proposed model and methods, we apply them to a simple network and the real road network of Kanazawa, Japan. The results indicate that providing ambulance drivers in Kanazawa with travel time information leads to an average reduction in travel time of approximately three minutes.