神经网络在车辆半主动控制中的应用

针对车辆半主动悬挂模型的非线性特性，研究了采用神经网络的自适应控制在车辆悬挂半主动控制中的应用，设计了采用前馈神经网络的辩识器和控制器，对控制器网络采用的学习规则进行了分析。仿真计算表明，采用神经网络自适应控制方法能有效改善车辆的平稳性，采用的神经网络辩识器和控制器的改进BP算法是有效的。     

Assessing the Potential Impacts of Connected Vehicles: Mobility,Environmental, and Safety Perspectives

The connected vehicle is a rapidly emerging paradigm aimed at deploying and developing a fully connected transportation system that enables data exchange among vehicles, infrastructure, and mobile devices to improve mobility, enhance safety, and reduce the adverse environmental impacts of the transportation systems. This study focuses on micromodeling and quantitatively assessing the potential impacts of the connected vehicle (CV) on mobility, safety, and the environment. To assess the benefits of CVs, a modeling framework is developed based on traffic microsimulation for a real network located in the city of Toronto, Canada, to mimic communication between enabled vehicles. In this study, we examine the effects of providing real-time routing guidance and advisory warning messages to CVs. In addition, to take into account the rerouting in nonconnected vehicles (non-CVs) in response to varying sources of information such as apps, global positioning systems (GPS), variable message signs (VMS), or simply seeing the traffic back up, the impact of fraction of non-CV vehicles was also considered and evaluated. Therefore, vehicles in this model are divided into; uninformed/unfamiliar not connected (non-CV), informed/familiar but not connected (non-CV) that get updates infrequently every 5 minutes or so (non-CV), and connected vehicles that receive information more frequently (CV). The results demonstrate the potential of connected vehicles to improve mobility, enhance safety, and reduce greenhouse gas emissions (GHGs) at the network-wide level. The results also show quantitatively how the market penetration of connected vehicles proportionally affects the performance of the traffic network. While the presented results are pertinent to the specifics of the road network modeled and cannot be generalized, the quantitative figures provide researchers and practitioners with ideas of what to expect from vehicle connectivity concerning mobility, safety, and environmental improvements.     

Connected variable speed limits control and car-following control with vehicle-infrastructure communication to resolve stop-and-go waves

The vision of intelligent vehicles traveling in road networks has prompted numerous concepts to control future traffic flow, one of which is the in-vehicle actuation of traffic control commands. The key of this concept is using intelligent vehicles as actuators for traffic control systems. Under this concept, we design and test a control system that connects a traffic controller with in-vehicle controllers via vehicle-to-infrastructure communication. The link-level traffic controller regulates traffic speeds through variable speed limits (VSL) gantries to resolve stop-and-go waves, while intelligent vehicles control accelerations through vehicle propulsion and brake systems to optimize their local situations. It is assumed that each intelligent vehicle receives VSL commands from the traffic controller and uses them as variable parameters for the local vehicle controller. Feasibility and effectiveness of the connected control paradigm are tested with simulation on a two-lane freeway stretch with intelligent vehicles randomly distributed among human-driven vehicles. Simulation shows that the connected VSL and vehicle control system improves traffic efficiency and sustainability; that is, total time spent in the network and average fuel consumption rate are reduced compared to (uncontrolled and controlled) scenarios with 100% human drivers and to uncontrolled scenarios with the same intelligent vehicle penetration rates.     

不同路面下汽车ABS仿真检测研究

进行不同路面下汽车ABS性能仿真检测,开发了汽车ABS性能仿真检测系统,对ABS的ECU进行了几种典型路面下的仿真检测,并对试验结果进行分析.结果表明开发的ABS性能检测系统具有良好的路面仿真功能与测试功能,可以用于ABS ECU生产的在线检测.     

基于CAN总线的汽车故障诊断系统研究与设计

介绍了基于CAN的车载故障诊断标准ISO15765的体系结构,分析了ISO15765网络层的数据传送方式,在此基础之上设计了基于CAN网络的故障诊断系统及控制器故障诊断代码,完成诊断系统的硬件设计及软件调试,并利用CANoe软件对ECU和诊断设备进行测试。     

车体参数测定方法研究

在论述车辆动力学参数的重要性的基础上,提出了车体重心、重量、转动惯量的测定方法,分析和比较了测定方法的先进性和可行性,给出了参数的计算方法和计算公式,最后介绍了实车测定情况和测定结果。     

国产轻轨车辆的主要技术参数特点

国产轻轨车辆采用铰接式、短轴距转向架及大截面铝合金车体等先进技术,实现了3、4、5辆车灵活编组及单辆车的双向运行。简要介绍车体、转向架、主电路、辅助电源、制动等主要系统和部件的特点及其技术参数。     

城市轨道交通系统车辆及展望

介绍城市轨道交通系统各种模式的车辆,涉及轮轨制式地铁系统(包括直线电机系统)、轻轨系统、单轨系统、自动导向系统、磁悬浮系统和无人驾驶系统的车辆.分析我国城市轨道交通的现状,指出国内城市轨道交通领域中的车辆以铜轮为主,并已基本实现国产化最后对城市轨道交通车辆技术的未来进行展望.     

城市轨道交通电客车维修策略研究——以北京为例

针对超大规模线网下轨道交通电客车大架修运维成本管控难度大和车辆基地检修资源压力日益增大等问题,以北京轨道交通为例,结合《智慧城轨发展纲要》中提出的智能运维手段及城轨行业车辆检修资源共享和维保服务打包招标的发展趋势,从修程修制、资源共享和委托方式3个维度展开论证,经过问题梳理、广泛调研,结合行业政策导向、技术发展趋势及车辆检修需求分析论证,针对城轨电客车运维提出基于智能运维、状态监测以及可靠性、可用性、可维护性和安全性(reliability,availability,maintainability and safety,RAMS)模型进行全寿命修程修制规划,基于检修资源共享建设企业级和路网级部件集中维修中心,基于购买整车维保服务探索与整车厂检修能力整合的优化建议,为北京轨道交通电客车运维中的降本增效工作提供思路。     

城市机动车拥有量发展战略研究

以路网广义容量计算理论为前提,通过对规划年路网容量的计算,从供需平衡的角度和对未来路网机动车运行状况的估计,确定规划年机动车限制保有量的预测值,从而为城市机动车发展战略提供重要的决策依据.最后根据文中提出的计算模型对重庆市主城区未来机动车发展状况进行实例分析.