A new shared control for lane keeping and road departure prevention

In recent years, the driver's active assistances have become important features in commercialised vehicles. In this paper, we present one of these features which consists of an advanced driver assistance system for lane keeping. A thorough analysis of its performance and stability with respect to variations in driver behaviour will be given. Firstly, the lateral control model based on visual preview is established and the kinematics model based on visual preview, including speed and other factors, is used to calculate the lateral error and direction error. Secondly, and according to the characteristics of the lateral control, an efficient strategy of intelligent electric vehicle lateral mode is proposed. The integration of the vehicle current lateral error and direction error is chosen as the parameter of the sliding mode switching function to design the sliding surface. The control variables are adjusted according to the fuzzy control rules to ensure that they meet the existence and reaching condition. A new fuzzy logic-based switching strategy with an efficient control law is also proposed to ensure a level of continuous and variable sharing according to the state of the driver and the vehicle positioning on the roadway. The proposed control law acts either at the centre of the lane, as a lane keeping assistance system to reduce the driver's workload for long trips, or as a lane departure avoidance system that intervenes for unintended lane departures. Simulation results are included in this paper to explain this concept.     

不同沥青混凝土路面结构的大温差温度行为分析

为基于环境因素的大温差地区选择适宜的沥青混凝土路面结构提供理论依据。考虑沥青混合料的感温特性,将路面结构视为层间接触的不连续层状体系,应用ABAQU S的瞬态热分析和热-结构耦合求解技术,对不同基层类型沥青混凝土路面结构在低温大温差作用下的温度场与温度应力响应等温度行为特性进行分析。分析结果表明:采用级配碎石、掺2%水泥的级配碎石以及沥青稳定碎石等柔性基层的沥青混凝土路面结构组合,具有优良的抗环境温度变化作用的性能,是高寒、低温大温差地区值得推荐选用的沥青混凝土路面结构。     

FEMUR SHAPE RECOVERY FROM VOLUMETRIC IMAGES USING 3-D DEFORMABLE MODELS

IntroductionThe rupture of the anterior cruciate ligament( ACL) has become the most common knee in-juries.In operation of ACL reconstruction,thesurgeons have to find the optimal attachmentpoints resulting in a low anisometry of the graft,while preventing impingement between the graftand the femoral notch.Markus Fleute andStéphane lavallée[1] proposed a real- time systemfor computer- assisted ACL surgery.A recentadvance in surgery is minimally invasive tech-nique that can avoid the large…     

DESIGN OF A NEW INTERPOLATED CONTROLLER FOR STABILIZATION OF A SET OF INTERPOLATED PLANTS

IntroductionDynamics of almost all plants in reality variesaccording to the condition under which the plantis operated.An idea to describe the variation ofplant dynamics is interpolating a number of rep-resentative models defined at representative op-erating points.In Ref. [1 ] ,the plant was as-sumed to described as a linear interpolation ofproper stable coprime factorizations of transferfunctions of two representative models and thestabilization problems have been considered. InRef.[2 ] ,it…     

英语词汇层面上的理解在阅读中的作用

英语阅读教学在我国英语教学中占有重要地位。词汇是阅读理解的基础,处理词汇的能力也是提高总体阅读水平的重要组成部分。作从理论上对词汇层面理解技能的本质、组成、目的及功能进行了探讨。并以实验结果证明、揭示了词汇层面理解与阅读过程中局部理解的关系,指出理解词的字面意义、功能意义、语境意义、及引申意义的重要性,并论证了在语言教学中加强词汇理解技能训练的重要地位。     

南港—北槽洪枯季沿程水沙盐特性分析*

利用2012年2月及8月长江口南港—北槽大、小潮水文测验资料,从涨落潮历时、流速、含沙量及含盐度等方面 分析了南港—北槽洪枯季水沙盐纵向及垂向分布特征以及潮周期内含沙量变化特性。分析表明：南港—北槽沿程各垂线落 潮平均历时洪季整体较枯季长,涨潮平均历时洪季整体较枯季短,且小潮期洪、枯季的这种差异更为明显;南港—北槽洪 季落潮流速普遍大于枯季,涨潮流速普遍小于枯季;小潮期涨潮平均流速会出现近底层较表层大现象, 且CSW-CS3出现滞 流点;北槽中段—口外段洪季含沙量及垂向差异均较枯季大,南港圆圆沙段及北槽上段枯季含沙量较洪季大;潮周期内北 槽中段各垂线上层含沙量均较小,且变化幅度相对较小,但下层含沙量变化达数倍乃至十几倍之多,且涨憩时段近底层含沙 量可能特别高;洪枯季北槽中段均存在盐水楔,其位置洪季偏上、枯季偏下,最大浑浊带洪枯季位置变化与此基本一致。     

改进的道路交通安全灰色聚类评价方法

传统的灰色聚类评价方法在确定灰类白化值时,由于受到样本数据的约束,使得评价只是在样本范围内进行比较,没有真正达到评价的目的。针对这一不足,对传统的灰色聚类评价方法进行改进,通过确立合理有效的评价指标体系,并通过相关规范标准确定灰类白化值,改变传统方法确立灰类白化值的模式,以获得一个更加合理的评价标准,使评价结果更加准确、合理。改进的灰色聚类评价方法有理论依据、算法简单、可操作性强,评价结果能更好的反映道路交通安全状况。将该方法用于3个城市的道路交通安全评价,取得了良好的效果。     

散改集卸船工艺系统优化

在介绍现有小型码头的散改集卸船工艺系统基础上,针对其存在的问题提出一种全新的卸船工艺系统方案.该方案采用气力卸船机卸船、刮板机输送、自动化装箱、翻箱机移动集装箱上下卡车,符合绿色环保的设计理念,可提高卸船效率和装箱效率,减少码头设备和人力投入,实现卸货装箱的流水化作业.     

基于手机传感器数据的出行特征提取方法

手机调查方法的已有研究较多集中于基于手机信令数据的宏观出行特征获取,而手机传感器数据在个体出行链微观出行特征提取方面具有优势.针对城市居民多采用组合交通方式出行的特征,研发智能手机应用软件,实现GPS数据(位置坐标与速度)、加速度计、服务基站、WiFi等传感器数据采集.运用小波分析、神经网络等数据挖掘技术分析不同交通方式出行数据差异,探索多种数据挖掘算法用于个体出行参数提取的可行性及效果.结合实际案例,总结应用手机传感器数据进行出行特征精细化提取的难点和技术关键.最后,探讨精细化个体出行数据在交通模型和理论优化方面的应用.     

西方交通需求与土地利用关系相关模型

交通需求与土地利用关系的协调是处理好城市交通体系与空间形态相互关系的重要前提,也是近年来城市研究中的热点内容之一。其中,模型研究又是该领域中的活跃分支。分别从相关模型研究的侧重、模型的研究基础、模型的研究范围和模型建立的理论基础等方面进行概述,认为近年来,随着交叉学科发展与新技术的应用,模型研究向综合化发展,人文主义得到重视,但多数综合模型实证性强,理论性与可移植性尚待加强。