基于车载智能通信终端的车辆救援服务

为确保当车辆发生碰撞或紧急情况时,客服中心能实时获取车辆位置及车辆故障状态等信息.文章从车联网的端管云角度出发,详细阐述了借助GPS高精定位技术,车主可通过车辆中控大屏的紧急救援选项,借助无线通信网络接通客服中心,在救援过程中,客服人员不仅能一直与车主进行在线交流,而且能实时调度救援资源.为车主提供及时...     

基于车联网的智能车载终端研制

分析车联网的作用及意义,以及目前国内外现状;提出车载智能信息终端平台解决方案,设计开发核心控制模块与终端样机,并进行模块测试和实车验证。     

浅析车联网发展历程及前景

车联网作为物联网时代的重要应用,正在随着计算和通信技术的进步而飞速发展,车联网带来了巨大的研究价值和商业前景,是实现汽车完全自动驾驶的重要途径。文章简要介绍了车联网的演进发展历程,讨论了创建车联网所需的技术,介绍了一些车联网环境下的主要应用,结合5G描述了车联网领域中的主要研究方向,最后阐述了车联网未来和发展趋势。     

一种基于移动终端的车载在线服务系统

介绍了一种基于移动终端,该终端是能够将车载终端提供的车辆数据进行拓展应用的在线服务系统,包括一个基于短程无线通信的车载通信模块、移动终端应用程序和远程服务器,车载通信模块能够将各种车辆数据通过蓝牙或Wifi等无线协议传送给用户移动终端应用程序,再通过移动终端将数据上传用户服务器,以实现各种应用。     

基于车联网技术的汽车服务系统

为了满足不同汽车用户的需求,解决现代交通所面临的安全、能源和道路堵塞问题,本文提出了一种基于车联网技术的汽车服务系统。系统采用B/S架构;搭配高兼容性终端;在主流操作系统下,基于J2EE规范,针对不同用户需求开发出多款应用软件。具有适应性强,支持跨平台操作的特点。本系统消除了客户端的使用限制,升级维护易于实现。     

车联网系统概述

随着汽车行业的不断发展,车联网已经成为目前车厂主要发展的技术和方向.车联网系统整体规划需要不断的完善.车联网系统主要包括系统平台,终端设备,车载娱乐应用,手机应用等,文章通过对各个系统的介绍和规划,提供车联网系统概要描述.车联网行业可以多参考其他相关行业,不断丰富车联网行业功能和相关技术,能够更好地为汽车行业发展服务.     

一种车载多媒体推荐系统的应用

本文介绍一种基于车联网技术的车载多媒体推荐系统的应用。     

车联网中车载网络负载与线束优化

基于车载分布式智能网络架构,运用独立协调机制,使用状态协调表协调汽车电器状态,建立了完整的车载分布式独立协调智能网络。进一步推导出车载网络负载的约束规划条件,运用回溯法求取最优负载。基于最优化控制建立了车载网络线束的目标函数与约束方程,运用变分法推导出了线束优化的极值条件。通过车载网络样车改造,设计实车试验,验证了该方法的有效性。     

基于车联网无线通讯的车辆定位跟踪系统

车辆定位跟踪系统基于车联网以实时控制和监测中心为核心为公共交通讯息系统提供各种信息,用户和管理员通过无线通讯网络实现车辆的位置信息交互。文中设计了车辆定位跟踪系统,利用传感器节点的射频收发器,建立车辆位置跟踪系统收集信息,无线Ad-Hoc网络由沿公交线路固定传感器节点和车辆移动传感器节点组成,触发服务器和管理车辆信息传递。同时,利用双向无线Ad-Hoc网络可以提供周边双向信息。     

道路交通事故紧急救援保障体系与技术支持

我国汽车保有量仅占全球汽车保有量的3%,而每年死于交通事故的人数约占全球死于交通事故人数的15%20%,尤其交通事故致死率是日本等国家的1020倍。本文就此现象进行基本原因的分析,并着重对交通事故紧急救援保障体系与技术支持问题进行探讨。     

Integrated control of ground vehicles dynamics via advanced terminal sliding mode control

An integrated vehicle dynamics control (IVDC) algorithm, developed for improving vehicle handling and stability under critical lateral motions, is discussed in this paper. The IVDC system utilises integral and nonsingular fast terminal sliding mode (NFTSM) control strategies and coordinates active front steering (AFS) and direct yaw moment control (DYC) systems. When the vehicle is in the normal driving situation, the AFS system provides handling enhancement. If the vehicle reaches its handling limit, both AFS and DYC are then integrated to ensure the vehicle stability. The major contribution of this paper is in improving the transient response of the vehicle yaw rate and sideslip angle tracking controllers by implementing advanced types of sliding mode strategies, namely integral terminal sliding mode and NFTSM, in the IVDC system. Simulation results demonstrate that the developed control algorithm for the IVDC system not only has strong robustness against uncertainties but also improves the transient response of the control system.     

基于改进RRT*算法的自动驾驶车辆路径规划研究

针对自动驾驶车辆,文章在交叉路口环境下提出了一种改进的快速搜索随机树(RRT*)路径规划算法.首先,对自动驾驶车辆的驾驶行为环境予以描述;其次,针对原始RRT*算法提出改进的目标偏向策略予以改善;进一步,对原始RRT*算法在交叉路口无效采样的问题,提出一种概率采样策略.基于Matlab/Simulink联合仿真平台构建...     

Considerations on active control of crosswind stability of railway vehicles

The DLR research project Next Generation Train deals with concepts, methods and technologies for a very high-speed train in double-deck configuration and light-weight design. Due to these three key features, crosswind stability is a particular subject of study. It is shown that conventional approaches here fall short of guaranteeing safety in high-wind occurrences according to the given homologation standards. Therefore, this paper discusses the feasibility of different approaches to ensure crosswind stability by means of active control. Four different concepts are overviewed, the most promising one is then chosen und examined in detailed multibody simulations that are based on data from wind tunnel measurements of the Next Generation Train.     

Automated driving and autonomous functions on road vehicles

In recent years, road vehicle automation has become an important and popular topic for research and development in both academic and industrial spheres. New developments have received extensive coverage in the popular press, and it may be said that the topic has captured the public imagination. Indeed, the topic has generated interest across a wide range of academic, industry and governmental communities, well beyond vehicle engineering; these include computer science, transportation, urban planning, legal, social science and psychology. While this follows a similar surge of interest – and subsequent hiatus – of Automated Highway Systems in the 1990s, the current level of interest is substantially greater, and current expectations are high. It is common to frame the new technologies under the banner of ‘self-driving cars’ – robotic systems potentially taking over the entire role of the human driver, a capability that does not fully exist at present. However, this single vision leads one to ignore the existing range of automated systems that are both feasible and useful. Recent developments are underpinned by substantial and long-term trends in ‘computerisation’ of the automobile, with developments in sensors, actuators and control technologies to spur the new developments in both industry and academia. In this paper, we review the evolution of the intelligent vehicle and the supporting technologies with a focus on the progress and key challenges for vehicle system dynamics. A number of relevant themes around driving automation are explored in this article, with special focus on those most relevant to the underlying vehicle system dynamics. One conclusion is that increased precision is needed in sensing and controlling vehicle motions, a trend that can mimic that of the aerospace industry, and similarly benefit from increased use of redundant by-wire actuators.     

Identifying multiclass vehicles using global positioning system data

It has been previously evidenced that global positioning system (GPS) data can be used to distinguish passenger cars from delivery trucks. In this paper, a machine learning approach is proposed to use GPS data to identify multiclass vehicles, including passenger cars, single unit trucks, and multi-trailer trucks. The method is acceleration and deceleration-based since it considers the variations of acceleration and deceleration as the most effective features to classify vehicles. The overall classification result for the three vehicle classes is about 75%. The major challenge is to distinguish single unit trucks from multitrailer trucks due to their somewhat similar mobility patterns. The paper also explores the impacts of GPS sampling frequency on vehicle classification. It is found that the proposed multiclass vehicle classification can be reasonably conducted if the data are collected frequently enough (i.e., every five seconds or more frequently) to capture the major acceleration and deceleration processes. The proposed method can be considered as a low-cost and non-intrusive approach to collect vehicle class information and to potentially supplement the existing classification schemes in urban areas.     

港口大型车辆制动和转弯特性研究

大货车自身的尺寸及载重比小汽车大得多,存在很多与小汽车不同的特性,也容易出现交通事故,针对港区道路上大货车比较多的情况,在参考国内外相关文献的基础上,重点介绍研究了大型车辆的制动性能和转弯性能及相关数据指标,并提出相应推荐指标,可为港区交通安全设计和管理提供政策依据。     

基于MATLAB GUI的商用汽车持续制动模拟系统开发

近年来,随着道路情况的进一步改善,商用汽车不断向着重型化、高速化发展。持续制动系统可以在不使用传统制动系统的情况下,实现能量转化,为汽车提供持续的制动效果。避免由于持续使用传统摩擦式制动装置而引起的热衰退,提高汽车的安全性。本文通过分析国内外对于持续制动系统的研究,提出使用计算机模拟的方法来分析持续制动系统和车辆匹配的问题。选择合适的程序平台,进一步开发后得到了一套商用汽车持续制动模拟计算系统。     

铰接车辆转向侧翻过程仿真

建立了铰接式车辆转向侧翻过程的数学模型,根据铰接式车辆在转向侧翻过程中的一些重要特性,研究和分析了铰接车辆侧翻的影响参数,通过过程仿真,获得了实现铰按车辆安全转向的车速临界值.     

A control strategy for parallel hybrid electric vehicles based on extremum seeking

An energy management control strategy for a parallel hybrid electric vehicle based on the extremum-seeking method for splitting torque between the internal combustion engine and electric motor is proposed in this paper. The control strategy has two levels of operation: the upper and lower levels. The upper level decision-making controller chooses the vehicle operation mode such as the simultaneous use of the internal combustion engine and electric motor, use of only the electric motor, use of only the internal combustion engine, or regenerative braking. In the simultaneous use of the internal combustion engine and electric motor, the optimum energy distribution between these two sources of energy is determined via the extremum-seeking algorithm that searches for maximum drivetrain efficiency. A dynamic programming solution is also obtained and used to form a benchmark for performance evaluation of the proposed method based on extremum seeking. Detailed simulations using a realistic model are presented to illustrate the effectiveness of the methodology.