混合动力有轨电车列车控制和管理系统软件测试平台设计

针对燃料电池和超级电容混合动力有轨电车的列车控制和管理系统(TCMS)软件测试需求,运用Control Build仿真软件搭建了适用于燃料电池和超级电容混合动力列车的TCMS软件测试平台。该平台在具有列车电路和常用子系统仿真功能上,采用拟合方法搭建了燃料电池模型、超级电容模型、动力电池模型和列车能量流动模型,为TCMS软件进行混合动力能量管理和整车能量管理提供测试环境,提高了燃料电池超级电容有轨电车TCMS软件测试的范围和效率。     

桥梁智能检测技术的研究及应用

传统检测技术在桥梁结构检测中得到了充分的应用,但由于需要进行传输线缆的布设,往往造成工作量大、干扰因素多等诸多不便。基于无线技术的桥梁智能监测技术,在无线收发模块以及移动技术成熟之后,丰富了桥梁测试技术。无线传感测试以及无线传输等技术给桥梁检测带来了诸多方便。本文在分析基于无线传感器的智能监测技术发展历史以及无线采集系统的特点的基础上,探讨了智能无线技术在桥梁检测/监测中的应用。     

基于ZigBee技术的分布式地铁隧道火灾监测报警系统

介绍了基于ZigBee技术的地铁隧道火灾监测报警系统。分析了该系统的网络结构、传感器节点电路,以及火灾参数处理算法和控制流程。实测结果表明,该系统不仅稳定可靠、抗干扰、能耗低,而且检测精度和灵敏度高,是一种地铁隧道火灾监测报警的新技术。     

城轨车辆用第三轨受流器试验台的研制

文章介绍了城轨车辆用第三轨受流器的应用现状,从产品测试要求、测控原理、试验步骤及应用情况等方面阐述了第三轨受流器试验台的研制。     

沃尔沃6120豪华客车ABS的故障诊断

介绍汽车防抱死制动系统ABS在客车上的应用背景,ABS部件及其主要技术数据,ABS的常见故障及其诊断方法。     

汽车仪表及仪表板的检修方法

针对不同的汽车仪表和仪表传感器以及稳压器,分析了检修方法及特点,介绍了自制的实用、有效的检修器材和使用方法。     

凌志LS400轿车电子点火系统的原理与检修

介绍凌志LS400轿车电子点火系统的组成、结构、工作原理以及点火系统常见故障的检修方法。     

一种适合于汽车性能测试的加速度传感器

本文介绍微型集成加顺的原理，结构，伺服电路组成和基本性能，说明了它的典型应用，特别指出它在汽车性能测试中的广阔应用前景。     

光纤光栅孔隙水压力计的研制与应用研究

阐述了光纤Bragg光栅(FBG)技术的原理以及传感器的结构设计原理和方法,采用光纤Bragg光栅(FBG)传感技术研制了适合岩土工程使用的光纤光栅孔隙水压力计,对研制的6支光纤光栅孔隙水压力计进行了试验检验并埋设于某高速公路软土路基中试测孔隙水压力以检验研发成果。实践结果表明该仪器克服了常规仪器的某些缺点,并有稳定性好、耐腐蚀等优点,可以较好地应用于岩土工程监测当中。本仪器的研制对于光纤传感技术在岩土工程领域的应用具有积极的推动作用。     

A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

With trajectory data, a complete microscopic and macroscopic picture of traffic flow operations can be obtained. However, trajectory data are difficult to observe over large spatiotemporal regions—particularly in urban contexts—due to practical, technical and financial constraints. The next best thing is to estimate plausible trajectories from whatever data are available. This paper presents a generic data assimilation framework to reconstruct such plausible trajectories on signalized urban arterials using microscopic traffic flow models and data from loops (individual vehicle passages and thus vehicle counts); traffic control data; and (sparse) travel time measurements from whatever source available. The key problem we address is that loops suffer from miss- and over-counts, which result in unbounded errors in vehicle accumulations, rendering trajectory reconstruction highly problematic. Our framework solves this problem in two ways. First, we correct the systematic error in vehicle accumulation by fusing the counts with sparsely available travel times. Second, the proposed framework uses particle filtering and an innovative hierarchical resampling scheme, which effectively integrates over the remaining error distribution, resulting in plausible trajectories. The proposed data assimilation framework is tested and validated using simulated data. Experiments and an extensive sensitivity analysis show that the proposed method is robust to errors both in the model and in the measurements, and provides good estimations for vehicle accumulation and vehicle trajectories with moderate sensor quality. The framework does not impose restrictions on the type of microscopic models used and can be naturally extended to include and estimate additional trajectory attributes such as destination and path, given data are available for assimilation.