A new solution for two-bag air suspension system with leaf spring for heavy-duty vehicle

The design problem of a two-bag air suspension system for heavy-duty vehicles is formulated as a two-level (suspension system level and component level) optimization problem. At the suspension system level, optimal stiffness matrix of leaf spring, characteristics of damper and upper rod layout are determined by solving a multi-objective constrained optimization problem with response surface. At the component level, shape and thickness of the leaf spring are formed using cubic-spline curves to make the stiffness matrix as close to the target values cascaded from suspension system level as possible. Simulations using a vehicle model described by multi-body model and FEM of the novel leaf spring validate the suspension system thus derived.     

单拖船协助船舶靠离码头的操纵方法

结合引航工作的实践,分析和讨论了各种情况下单拖船协助船舶靠离码头的操纵方法。     

基于图像处理的桥墩防撞预警系统的研究

利用图像处理硬件设备，通过摄像头将视频信息采入，送入DSP进行分析处理；专门视频信息处理软件，运用各种图像处理技术，进行实时处理分析，对船舶进行实时监控。当船舶进入预警区，经计算机判断处理，提醒监控人员并通过广播对船舶驾驶人员发出警告，避免事故发生。 在图像序列处理技术的开发中，采用软硬件分离的方法，先进行基于Visual C＋＋的计算机软件设计研究；在软件中，研究了船舶检测、船舶跟踪与计算等内容。     

潜艇定深运动仿人智能综合自动控制

针对潜艇定深运动过程中存在非线性、时变参数、复杂干扰的特点,在潜艇深度垂直面运动方程的基础上运用仿人智能(HSIC)、PID综合控制潜艇深度,建立深度控制的相关数学模型。仿真结果表明,HSIC-PID控制器不仅能较好的实现深度保持,对舵机的损耗也比传统的PID控制小,并且比PID控制具有更好的稳态精度。     

基于红外搜索系统的被动测距技术研究

红外搜索系统是一种被动探测系统，量测数据中无目标的距离量；而评判来袭目标的威胁程度离不开其距离量。介绍了基于红外搜索系统的被动测距技术测量目标距离的算法、原理框图以及仿真试验与结果。     

渝长高速公路可持续发展能力分析

随着高速公路的大规模建设,2005年我国高速公路通车里程突破4万km,其在社会经济发展中作用日益凸显,如何保证高速公路持续、稳定的运营,以满足不断增长的交通运输需求就显得尤为重要.应用目标持续性评价的理论方法对渝长高速公路的可持续发展能力进行了分析,有助于确保项目在运营期内提高质量的运输服务.     

铁路入侵运动目标实时检测技术

针对铁路场景下入侵异物的特点,采用智能视频技术,对监控视频图像序列中入侵运动目标检测方法进行研究．提出基于参考点的“相对背景差分法”、基于目标特征的跟踪算法和基于透视规律的目标分类方法,实现对多目标场景运动目标的实时检测识别。典型场景实验结果表明：上述算法实现了铁路入侵运动目标的高效检测,与基础背景差分法相比,误检率和漏检率分别减小了24．56％和54．17％;与基于区域的传统目标跟踪方法相比,误匹配率和漏匹配率分别减小了64．78％和22．58％,且算法具有较强的实时性和鲁棒性。     

列车运行状态信息系统(LAIS)研究与设计

列车运行状态信息系统作为铁路调度生产和辅助决策的重要支撑手段,是提高机车运用效率、保障列车运行安全、充分发挥运用与检修一体化管理模式的优势、提高铁路运营管理能力的必不可少的重要环节。建立符合我国国情和安全装置现状要求并具有高度扩展性的"车对地"、"地对车"、"地对地"的机车运行安全监控闭环系统,全面实现列车实时状态追踪,为运输组织和机车管理提供及时、可靠的指挥依据,为维修、救援等提供决策支持,充分利用现代化的技术手段实现对列车运行状态的监控。收稿日期     

基于视觉的前方车辆探测技术研究方法综述

对国内外关于车道上本车前方车辆检测方法进行了综述。根据探测车辆所采用的传感器不同,分别对采用单目视觉、双目视觉、视觉与其他传感器融合以及非视觉传感器的几种探测方法进行了比较与分析。同时,针对每种探测方法,进一步阐述了目前车辆识别的一些具体算法。最后,指出了每种方法存在的优点和一些不足。     

Strava Metro data for bicycle monitoring: a literature review

ABSTRACT

Monitoring bicycle trips is no longer limited to traditional sources, such as travel surveys and counts. Strava, a popular fitness tracker, continuously collects human movement trajectories, and its commercial data service, Strava Metro, has enriched bicycle research opportunities over the last five years. Accrued knowledge from colleagues who have already utilised Strava Metro data can be valuable for those seeking expanded monitoring options. To convey such knowledge, this paper synthesises a data overview, extensive literature review on how the data have been applied to deal with drivers’ bicycle-related issues, and implications for future work. The review results indicate that Strava Metro data have the potential—although finite—to be used to identify various travel patterns, estimate travel demand, analyse route choice, control for exposure in crash models, and assess air pollution exposure. However, several challenges, such as the under-representativeness of the general population, bias towards and away from certain groups, and lack of demographic and trip details at the individual level, prevent researchers from depending entirely on the new data source. Cross-use with other sources and validation of reliability with official data could enhance the potentiality.