摩托车发动机齿轮传动噪声分析与控制

同样是齿轮传动,由于在发动机中所处的传动部位不同,引起噪声的大小程度也不同。对于换档变速发动机,相互啮合的一对初级传动齿轮副、机油泵传动齿轮副和常啮合式反冲起动是引起噪声的主要部位;对于无级变速发动机,由于传动比变化大,转速变化大,减速齿轮中驱动轴和从动齿轮副是引起噪声的主要部位。     

驾驶分心检测方法综述

道路交通事故已经成为世界人民非自然死亡的主要原因,有学者认为90％的交通事故与驾驶员自身因素关联,而其中又有超过50％与驾驶分心相关.为了对驾驶员分心进行识别以及为下一步的分心预警干预提供结果判断,文章介绍了常见的驾驶分心检测与识别方法,包括人脸识别方法,眼睛瞳孔位置识别以及基于驾驶员生理信号(EEG)的分心监测方法....     

商用车前撞报警算法研究

汽车前撞报警系统能够有效避免追尾危险,对提高交通安全具有重要意义。针对商用车,提出了危险系数的概念及适应驾驶员特性的基于危险系数Crisk的报警算法,确定了报警启动逻辑,通过真实道路实验获得驾驶员特性实验数据,得到不同类型驾驶员跟车行为特性参数,并且根据驾驶员异常行为的实验数据统计得到报警阈值。通过硬件在环仿真实验和实车试验,统计分析了系统报警的正确率、漏警率和误警率。试验结果表明,提出的前撞报警算法能够有效体现不同类型的驾驶员特性,提高了系统的可接受性。     

实现汽车夜间行驶会车远光自动变近光系统的探讨

本文探讨了汽车夜间行驶中对向会车时,大灯远光产生的灯光对驾驶员视线的影响,并且基于该问题研究了大灯远近光自动切换的方案。     

基于视频识别技术的无信号交叉口安全预警系统原型开发

基于视频识别技术开发无信号交叉口安全预警系统原型,在Visual Studio 2010开发环境下,借助halcon8.0图像处理算子,应用背景差法识别与跟踪运动车辆,实时采集车速、加速度、距离等微观交通信息,建立无信号交叉口安全通行模型实现动态安全预警功能,利用模型车辆测试系统的预警可靠性,在参数设置合理的条件下取得了87%的预警成功率。     

电动客车动力系统研究

电动汽车动力系统主要包括动力电池、驱动系统和变速系统。对水平铅酸电池的试验研究显示该电池完全满足电动汽车行驶需要。对新型稀土变磁通电机的驱动特性及其控制原理、线控两挡变速器原理进行了研究,并进行了一体化设计。试验结果表明,装有该动力系统的电动客车动力性和经济性均达到较高的水平。     

Modeling drivers' passing duration and distance in a virtual environment

In many countries two-lane rural highways constitute a large proportion of the road network. One of the most fatal crash types is head-on collisions. Some of these head-on collisions are caused by failed passing maneuvers, when a driver does not succeed to complete the pass safely.     

Which factors lead to driving errors? A structural equation model analysis through a driving simulator experiment

As driving error is a main contributory factor of road accidents, its causes and consequences are of great interest in the road safety decision making process. This paper investigates several factors (including driver distraction, driver characteristics and road environment) that affect overall driving error behaviour and estimates a new unobserved variable which underlines driving errors. This estimation is performed with data obtained from a driving simulation experiment in which 95 participants covering all ages were asked to drive under different types of distraction (no distraction, conversation with passenger, cell phone use) in rural and urban road environment, as well as in both low and high traffic conditions. Driving error was then modeled as a latent variable based on several individual driving simulator parameters. Subsequently, the impact of several risk factors such as distraction, driver characteristics as well as road environment on driving error were estimated directly. The results of this complex model reveal that the impact of driver characteristics and area type are the only statistically significant factors affecting the probability of driving errors. Interestingly, neither conversing with a passenger nor talking on the cell phone have a statistically significant impact on driving error behaviour which highlights the importance of the present analysis and more specifically the development of a measure that represents overall driving error behaviour instead of individual driving errors variables.     

Creating models of road sections and their use in driving dynamics simulations

The paper describes a system for measuring road section parameters in a way that the results can be used in driving dynamics simulations. The system consists of sensorics and a data acquisition subsystem supported by software for generating 3D road section geometrical models. These models are then used as driving surfaces in dynamics simulation packages to investigate and analyse different aspects of road design and its role in traffic accident analysis, reconstruction and prevention. The paper presents examples of measurements, road section modelling and simulation results, obtained by means of different software simulation tools. It discusses possibilities of further development and improvement of the system.