道路安全微观性研究

该文在分析当前道路安全研究概况及存在问题的基础上,基于系统控制理论提出了道路安全微观性研究新方向。结合研究者近几年在驾驶仿真模型、行车轨迹、特殊条件下的车辆运行安全分析及道路路线设计安全评价等方面的研究成果,展示了基于驾驶仿真的道路安全微观性研究概貌及应用价值。最后,对后续将开展的工作及道路安全微观性研究的发展前景进行了阐述。     

汽车制动性能比较分析

汽车的制动性能关系剑汽车安全行驶性能。ABS防抱死系统的应用是汽车安全性方面最重要的技术进展。通过对装备ABS汽车与普通汽车制动距离的计算比较分析发现,在湿滑的道路上突然制动,ABS系统可以使驾驶员能够保持车辆行驶平稳,在较短的距离内将汽车刹住。但在不湿滑的路面上,缩短刹车距离的范同值比较小。而在冰雪路面上行驶的车辆,没有装备ABS的汽车在湿路面或冻路面上制动时,制动距离会过长且不能猛烈转向。而装备ABS系统的汽车也是如此,因为尽管ABS能提供附加的制动控制和转向控制,但它不能解决这样一个客观的物理事实：那就是在较滑的路面上,可利用的牵引力很小。     

基于可拓切换控制方法的智能车辆车道保持系统研究（双语出版）

针对道路曲率变化范围较大时，智能车辆在大曲率道路工况车道保持控制精度低的问题，提出一种基于可拓切换控制理论的智能车辆车道保持控制系统，该车道保持系统由上层可拓控制器和下层控制器两部分组成。在上层可拓控制器中，通过车道线检测得到车辆相对于道路的位置信息和道路曲率信息。根据可拓集合理论，选取预瞄点处横向位置偏差和前方道路曲率值作为可拓集合的特征值并划分可拓集合，求解关联函数，并根据关联函数值将车辆-道路系统状态分为经典域、可拓域和非域。在下层控制器中，在经典域采用基于横向位置偏差和航向偏差的PID反馈控制器，在可拓域中采用基于前方道路曲率的PID前馈-反馈控制器，非域中车辆-道路系统处于完全失控状态，采取紧急制动。2种仿真工况结果表明：相比于单一PID反馈控制，提出的车道保持控制系统，有效抑制了在大曲率道路下的跟踪误差值，提高了智能驾驶汽车在时变曲率的道路工况下车道保持控制精度和工况适应性。     

Integrated Control Methodologies for Road Vehicles

Summary This paper considers the scope, methodologies and architectures for the design and development of interacting control systems in road vehicles. The increasing use of electronic controls leads inevitably to an increase in overall system complexity. Given the time and economic constraints of the modern automotive industry, it is not feasible to synthesise and validate the full set of vehicle controls in the form of a unified and centralized controller. On the other hand a fully decentralized approach to control system development and operation will induce performance limitations from un-modelled or unexpected interactions; at worst, such interactions can cause instability and loss of function. There is now increasing pressure to achieve control coordination whilst maintaining a modular approach to the overall system design. With this in mind, the paper provides a framework to review current practice in integrated vehicle control, assesses recent developments in control integration methodologies that are most relevant to the vehicle application, and formulates an enhanced multi-layer architecture that includes explicit coordination functionality. Overall emphasis is placed on the role of control system architecture, the resulting flow of control information and the implications for control system design. An example from handling dynamics is presented, demonstrating the viability of new and flexible approaches. In conclusion a number of outstanding research problems are highlighted.     

公路桥梁超限车辆通行安全评价系统的开发与应用

我国车辆的大型化、拖挂化和集装箱化的发展，使公路超限运输车辆越来越多，越来越严重地损坏着我国的公路桥梁设施。为保障桥梁的安全性，要求有一种快速判断的评价系统，迅速判断结果，指导路政管理。对影响桥梁承载能力的因素进行了全面的分析，充分发掘了桥梁的承载潜力，通过综合确定桥梁载力及考虑超限车辆的通行方式和特点，能够更科学、更准确地评定桥梁在超限车辆荷载下的安全状况。使用Microsoft VB6.0编程语言开发了大型桌面应用程序《公路桥梁超限车辆通行安全评价系统》Brisafety4.0，使整个评价过程完全程序化、自动化，并能给出详细数据、图形结果及具体加固处理方案。     

基于模糊数学的山区道路安全度模型评价

由于山区道路急弯陡坡路段事故频频发生,且呈逐年上升趋势,因此通过对山区道路交通事故路段分布特征的分析,综合选取安全度模型参数,从道路线形、车辆设计参数、车路相关参数三方面建立安全度评价指标体系,结合模糊数学法建立了山区道路安全度模型。最后通过实例分析,验证了安全度模型的评价符合山区道路的安全状态。     

Advanced vehicle dynamics of heavy trucks with the perspective of road safety

ABSTRACT

This paper presents state-of-the art within advanced vehicle dynamics of heavy trucks with the perspective of road safety. The most common accidents with heavy trucks involved are truck against passenger cars. Safety critical situations are for example loss of control (such as rollover and lateral stability) and a majority of these occur during speed when cornering. Other critical situations are avoidance manoeuvre and road edge recovery. The dynamic behaviour of heavy trucks have significant differences compared to passenger cars and as a consequence, successful application of vehicle dynamic functions for enhanced safety of trucks might differ from the functions in passenger cars. Here, the differences between vehicle dynamics of heavy trucks and passenger cars are clarified. Advanced vehicle dynamics solutions with the perspective of road safety of trucks are presented, beginning with the topic vehicle stability, followed by the steering system, the braking system and driver assistance systems that differ in some way from that of passenger cars as well.     

Integrated Control Methodologies for Road Vehicles

Summary This paper considers the scope, methodologies and architectures for the design and development of interacting control systems in road vehicles. The increasing use of electronic controls leads inevitably to an increase in overall system complexity. Given the time and economic constraints of the modern automotive industry, it is not feasible to synthesise and validate the full set of vehicle controls in the form of a unified and centralized controller. On the other hand a fully decentralized approach to control system development and operation will induce performance limitations from un-modelled or unexpected interactions; at worst, such interactions can cause instability and loss of function. There is now increasing pressure to achieve control coordination whilst maintaining a modular approach to the overall system design. With this in mind, the paper provides a framework to review current practice in integrated vehicle control, assesses recent developments in control integration methodologies that are most relevant to the vehicle application, and formulates an enhanced multi-layer architecture that includes explicit coordination functionality. Overall emphasis is placed on the role of control system architecture, the resulting flow of control information and the implications for control system design. An example from handling dynamics is presented, demonstrating the viability of new and flexible approaches. In conclusion a number of outstanding research problems are highlighted.     

基于改进的可拓学模型的城市道路隧道交通安全评价

为提高城市道路隧道的交通安全性,克服运营隧道安全评价难以进行定量分析的不足,根据改进的物元可拓学模型和变权理论,建立城市道路隧道交通安全评价模型,基于相关规范和已有研究成果,构建评价指标体系和指标定量分析标准。运用该模型进行实例分析,结果表明： 实例隧道1的交通安全等级为“低/3级”,偏向等级“较高/2级”; 实例隧道2的交通安全等级为“较高/2级”,与2座隧道的实际运营状况比较相符。将所建模型与其他常用评价模型进行对比分析,验证其实用性。从指标综合权重可以看出,路面亮度的均匀性和车型混杂率对评价结果影响较大。     

Vehicle dynamics control by using a three-dimensional stabilizer pendulum system

Active safety systems of a vehicle normally work well on tyre–road interactions, however, these systems deteriorate in performance on low-friction road conditions. To combat this effect, an innovative idea for the yaw moment and roll dynamic control is presented in this paper. This idea was inspired by the chase and run dynamics animals like cheetahs in the nature; cheetahs have the ability to swerve while running at very high speeds. A cheetah controls its dynamics by rotating its long tail. A three-dimensional stabilizer pendulum system (3D-SPS) resembles the rotational motion of the tail of a cheetah to improve the stability and safety of a vehicle. The idea has been developed in a stand-alone 3D stabilizer pendulum system as well as in an integrated control system, which consists of an ordinary differential braking direct yaw control (DYC) and active steering control that is assisted by the 3D-SPS. The performance of the proposed 3D-SPS has been evaluated over a wide range of handling manoeuvres by using a comprehensive numerical simulation. The results show the advantage of 3D-SPS over conventional control approaches, which are ineffective on low-friction road conditions and high lateral acceleration manoeuvres. It should however be noted that the best vehicle dynamics performance is obtained when an integrated 3D-SPS and DYC and AFS is utilised.     

Research on control strategy for differential steering system based on H mixed sensitivity

The differential steering system (DSS) of electric wheel vehicle gets rid of the restrictions of traditional steering system completely. As an ideal steering technology, it not only realizes the perfect combination of the road feel and the steering portability, but also realizes the harmony and unification between the steering maneuverability and safety. The structure and basic theory of the DSS of electric wheel vehicle are discussed in this paper. Based on these, the dynamic model of the steering system is built. Considering of the uncertainties and disturbances existing in the model, the H_∞ mixed sensitivity control theory is applied to achieve better tracking performance and road feel in the process of steering. Then, a H_∞ mixed sensitivity controller is designed to restrain the effect of the road disturbance and model uncertainties. The simulation results indicate that the DSS with the designed controller can effectively restrain the effect of noises and disturbances caused by random motivation from road, torque sensor measurement and model parameter uncertainty, and enable the driver to obtain satisfactory road feel.     

基于红外测距的道路前方车辆探测预警系统研究

进行道路前方车辆探测预警系统设计时,通常采用红外测距仪来获取道路前方车距信息,并以此作为前车探测的基础数据。为了消除系统状态误差和测量误差对车距信息数据精度的影响,可根据车距信息和相对车速不会突变的特性建立预测模型,基于此预测模型,应用Kalman滤波理论准确预测相对车速,并利用车距信息和相对车速计算安全距离报警阈值。试验证明该探测及预警方法可大大提高车辆探测的准确性和鲁棒性。     

融合感知特性的道路铺装结构设计体系研究综述及应用展望

为促进道路基础设施的智能化,实现道路铺装结构的智能感知功能,综述了融合感知特性的道路铺装结构设计体系的研究进展和发展趋势。首先归纳了道路铺装感知信息组成,包括路域环境感知、车辆荷载感知、路表功能感知和结构响应感知,在此基础上,提出了道路铺装结构分级感知设计思想;针对目前道路铺装感知设计不完善的问题,初步构建了融合智能感知特性的道路铺装结构设计体系;最后提出了融合智能感知特性的道路铺装结构设计和应用中存在的问题,并对其发展和应用前景进行了展望。研究结果表明：道路铺装结构的感知设计应综合考虑道路等级、区域环境、服务需求、工程造价和发展趋势等因素,依据“安全优先、分层递进”的思想进行分级设计,融合智能感知特性的道路铺装结构设计体系应涵盖感知系统、材料设计、布设组合、感知性能保持、计算理论和设计指标及要求等内容;在融合智能感知特性的道路铺装结构设计和应用过程中,存在着感知特性的设计内涵不明确、感知技术的实施标准不统一、感知铺面结构的性能保持技术不健全和感知数据处理与应用不标准等问题,未来其在公路长期性能观测科学网的建设、道路科学合理养护决策的制定和适用于中国的长寿命路面设计方法的研发等方面具有广阔的应用前景。     

车载网络安全的系统设计研究及关键技术开发

本文介绍了车载网络安全的系统设计研究及关键技术开发,以应对黑客通过网联攻击车辆,建立智能网联汽车车内网络信息安全交互模型;分析“外部网络环境”与“车内ECU群体”之间进行“信息资源”交互过程中的安全风险,研究其对车内网络信息安全的破坏机理;利用基于密码学理论研究车内网络安全通信协议的设计方法,解决车内网络在智能网联汽车环境下面临的信息安全问题。     

道路分隔栏的安全性能评价研究

通过对道路分隔栏的实际应用情况与车辆碰撞事故特征分析,在借鉴国内外相关规范的基础上,从碰撞车型、碰撞质量、碰撞速度、碰撞角度、碰撞点位置等因素出发,结合分隔栏事故特征和车辆乘员安全指标,研究确定了道路分隔栏的碰撞试验参数与安全性能评价标准,并利用该试验参数和评价标准,通过有限元仿真技术手段对目前常见的道路分隔栏结构进行了安全性能评价。研究表明：在车辆碰撞分隔栏的事故中,事故车辆主要为小型客车,且分隔栏杆侵入乘员舱造成人员伤害的案例较多,而其他类型伤害较少,因此分隔栏在实际使用中应主要考察车辆碰撞时分隔栏及其构件因为刺入乘员舱对乘员伤害的可能;在1.5 t小客车以60 km/h速度正碰条件下,某常用道路分隔栏的横向杆件侵入了车辆乘员舱,其安全性能不满足评价标准要求。研究成果为道路分隔栏安全性能评价标准的制定提供了一定借鉴作用。     

基于心理安全距离的行人风险评价及预警算法研究

为实现在机非混行的交通环境下,对动态、随机弱势道路使用者的准确风险评估,基于行车安全场理论提出了考虑行人心理安全距离的碰撞行人风险评价模型.首先通过考虑行驶车辆是否会危及行人的心理安全,提出了心理安全距离的概念,包括心理安全通行距离和心理安全制动距离2个方面,并通过问卷调研挖掘其可能的影响因素进行数值分析;接着将心理安...     

基于模糊神经网络的驾驶员弯道安全感受预测模型研究

论述了在人-车-路(环境)系统中驾驶员弯道安全感受的非线性特性。为了体现车辆、道路结构对驾驶员认知过程的作用和认知结果形成的影响,驾驶员弯道安全感受模型采用弯道平曲半径、车辆运行速度和驾驶员驾龄作为道路线形、车辆结构动力性、驾驶员经验的主要特征参数集,在增加积极和消极补偿运算的基础上,构建出模糊逻辑推理规则与神经网络优化逼近运算相互结合的5层推理预测模型,并结合实例数据,进行了对比分析验证,表明5层结构模型能够较好的满足特定弯道条件下驾驶员主观安全感受的认知推理预测要求,能够准确的、稳定的再现出驾驶员主观安全感受同驾龄、平曲半径和车辆运行速度间的相互作用关系。     

Self-tuning control algorithm design for vehicle adaptive cruise control system through real-time estimation of vehicle parameters and road grade

The main purpose of this paper is to design a self-tuning control algorithm for an adaptive cruise control (ACC) system that can adapt its behaviour to variations of vehicle dynamics and uncertain road grade. To this aim, short-time linear quadratic form (STLQF) estimation technique is developed so as to track simultaneously the trend of the time-varying parameters of vehicle longitudinal dynamics with a small delay. These parameters are vehicle mass, road grade and aerodynamic drag-area coefficient. Next, the values of estimated parameters are used to tune the throttle and brake control inputs and to regulate the throttle/brake switching logic that governs the throttle and brake switching. The performance of the designed STLQF-based self-tuning control (STLQF-STC) algorithm for ACC system is compared with the conventional method based on fixed control structure regarding the speed/distance tracking control modes. Simulation results show that the proposed control algorithm improves the performance of throttle and brake controllers, providing more comfort while travelling, enhancing driving safety and giving a satisfactory performance in the presence of different payloads and road grade variations.     

道路交通安全管理规划理论与应用研究

分析了我国近年来道路交通安全形势,结合〈中华人民共和国道路交通安全法〉的要求,对编制道路交通安全管理规划的相关理论进行了研究.研究从探讨道路交通安全系统出发,提出了道路交通安全管理规划的定义和编制规划应遵循的原则,并给出了规划思路、规划技术路线和规划内容的建议.最后结合城市介绍了规划的实际编制过程.     

车-车协同下无人驾驶车辆的换道汇入控制方法

多车协同驾驶是智能车路系统领域的研究热点之一,可有效降低道路交通控制管理的复杂程度,减少环境污染的同时保障道路交通安全。基于多车协同驾驶控制结构,提出了一种无人驾驶车辆换道汇入的驾驶模型及策略,系统分析了多车协同运行状态的稳定条件。在综合分析无人驾驶车辆换道汇入的协作准则、安全性评估后,基于高阶多项式方法,结合车辆运行特性,通过引入乘坐舒适性的指标函数,设计得到无人驾驶车辆换道汇入的有效运动轨迹。通过研究汇入车辆与车队中汇入点前、后各车辆的运动关系,详细分析车辆发生碰撞的类型和影响因素,给出避免碰撞的条件准则,从而确保无人驾驶车辆汇入过程中多车行驶的安全性和稳定性。基于车辆运动学建立车辆位置误差模型,结合系统大范围渐进稳定的条件,选取线速度和角速度作为输入,应用李雅普诺夫稳定性理论和Backstepping非线性控制算法,设计了无人驾驶车辆换道汇入后的路径跟踪控制器。仿真试验和实车试验结果表明：所设计的换道汇入路径是可行、安全的,控制器具有良好的跟踪效果,纵向和横向的距离误差在15 cm以内,方向偏差的相对误差在10%以内。研究结果为智能车路系统中的多车状态变迁与协同驾驶研究提供了参考,可服务于未来道路交通安全设计和评价。