波罗轿车的被动安全性设计综述

被动安全性是轿车开发中的一项重要内容，对于小型轿车由于其车身尺寸较小，显得更加重要。波罗轿车的被动安全性设计是建立在大众公司多年公司多年来对全世界各种碰撞安全法规和交通事故的研究基础之上，涵盖了正面、偏置、侧面、后部、翻滚以及车对车碰撞等各个方面，为小型轿车的被动安全性树立了典范。     

微型电动轿车车身骨架结构分析

利用ANSYS软件对某进口微型电动轿车车身骨架进行了强度、刚度和模态计算：分析了电动轿车车身骨架的结构特点和电瓶盒等钣金件的影响，提出了独立悬架边界条件的模拟方法。     

凌志LS430轿车电动倾斜和伸缩转向柱的故障诊断与维修

介绍了2001款凌志LS430型轿车电动倾斜与伸缩转向柱的组成和功能。该转向柱系统具有故障自诊断功能。介绍了故障码B2602钥匙开锁警告开关电路故障、故障码B2610倾斜位置传感器或电动机电路故障等的诊断。另外，介绍了执行器电源电路和ECU电源电路、倾斜电动机和伸缩电动机电路等的俭修     

汽车防追尾碰撞数学模型研究

为了提高车辆在高速行驶状态下的主动安全性能,研究了处于追尾行驶状态的本车与前车的运动学特征;针对前车的不同运动状态分别推导出了跟车距离的计算模型并分析了模型中3个关键参数的随机性和动态性,对制动迟滞时间提出了基于模糊推理的确定方法,对本车制动减速度和前车的运动加速度提出了比较实用的动态测算公式;另外,研究了防追尾碰撞的控制与执行,建立了动态调整安全制动停车距离的神经网络模型,提出了基于危险裕度判别的安全控制方法。     

车辆折算系数的分类及算法

提出了标准车的选择原则:车长等于约定的长度;当交通流密度很小时,以道路设计速度行驶;驾驶员遵守交通规则。定义了微观车辆折算系数:交通流全部由标准车组成时的流量与交通流全部由某种车组成时的流量之比。定义了聚类车辆折算系数:组成该类车型的所有自然车的微观折算系数与组成比例的乘积之和。定义了宏观车辆折算系数:组成混合交通流的所有自然车的微观折算系数与组成比例的乘积之和。计算了这三种车辆折算系数。     

X80管线钢管的屈强比对其失效评估曲线的影响

X80及以上级别管线钢管的高屈强比是工程应用中的一个突出问题,失效评估曲线是其安全评定的重要依据。文中通过单轴拉伸和断裂韧性试验建立了高屈强比X80管线钢管的特征失效评估图及拟合方程。结果表明：随着钢管屈强比升高,失效评估曲线的截至线（最大载荷比）降低;高、低屈强比钢管的评估曲线在载荷比大于某一临界值时发生分离,且高屈强比钢管的评估曲线处于低屈强比钢管的评估曲线之下;高屈强比钢管的选择3评估曲线比选择1和选择2曲线更偏于安全。     

Autonomous cars: The tension between occupant experience and intersection capacity

Systems that enable high levels of vehicle-automation are now beginning to enter the commercial marketplace. Road vehicles capable of operating independently of real-time human control under an increasing set of circumstances will likely become more widely available in the near future. Such vehicles are expected to bring a variety of benefits. Two such anticipated advantages (relative to human-driver vehicle control) are said to be increased road network capacity and the freeing up of the driver-occupant’s time to engage in their choice of leisurely or economically-productive (non-driving) tasks.In this study we investigate the implications for intersection capacity and level-of-service of providing occupants of automated (without real-time human control), autonomously-operating (without vehicle-to-X communication) cars with ride quality that is equivalent (in terms of maximum rates of longitudinal and lateral acceleration) to two types of rail systems: [urban] light rail transit and [inter-urban] high-speed rail. The literature suggests that car passengers start experiencing discomfort at lower rates of acceleration than car drivers; it is therefore plausible that occupants of an autonomously-operating vehicle may wish to instruct their vehicle to maneuver in a way that provides them greater ride comfort than if the vehicle-control algorithm simply mimicked human-driving-operation.On the basis of traffic microsimulation analysis, we found that restricting the dynamics of autonomous cars to the acceleration/deceleration characteristics of both rail systems leads to reductions in a signalized intersection’s vehicle-processing capacity and increases in delay. The impacts were found to be larger when constraining the autonomous cars’ dynamics to the more-restrictive acceleration/deceleration profile of high-speed rail. The scenarios we analyzed must be viewed as boundary conditions, because autonomous cars’ dynamics were by definition never allowed to exceed the acceleration/deceleration constraints of the rail systems. Appropriate evidence regarding motorists’ preferences does not exist at present; establishing these preferences is an important item for the future research agenda.This paper concludes with a brief discussion of research needs to advance this line of inquiry.     

Travel time estimation from sparse floating car data with consistent path inference: A fixed point approach

Estimation of urban network link travel times from sparse floating car data (FCD) usually needs pre-processing, mainly map-matching and path inference for finding the most likely vehicle paths that are consistent with reported locations. Path inference requires a priori assumptions about link travel times; using unrealistic initial link travel times can bias the travel time estimation and subsequent identification of shortest paths. Thus, the combination of path inference and travel time estimation is a joint problem. This paper investigates the sensitivity of estimated travel times, and proposes a fixed point formulation of the simultaneous path inference and travel time estimation problem. The methodology is applied in a case study to estimate travel times from taxi FCD in Stockholm, Sweden. The results show that standard fixed point iterations converge quickly to a solution where input and output travel times are consistent. The solution is robust under different initial travel times assumptions and data sizes. Validation against actual path travel time measurements from the Google API and an instrumented vehicle deployed for this purpose shows that the fixed point algorithm improves shortest path finding. The results highlight the importance of the joint solution of the path inference and travel time estimation problem, in particular for accurate path finding and route optimization.     

桥墩及桩基形式对墩底平转施工转盘设计的影响

以新建福厦(福州—厦门)高速铁路17500 t转体刚构为背景,采用实体有限元方法分析了不同桥墩类型及桩基布置对墩底平转转体中转盘受力的影响,并对桥墩及桩基进行了优化。结果表明:实体墩对上转盘受力最有利,其次是空心墩,最不利的是双薄壁墩;增加墩底实体段能够有效降低空心墩、双薄壁墩上转盘的主拉应力;随着墩底实体段高度的增加,主拉应力降低的幅度逐渐变小;球铰正下方有桩基时对下转盘底部受力更加有利;距离球铰中心越远,桩基受力越小,适当增加中桩桩径,可使各桩基应力状态更加均衡。     

基于混合选择模型的汽车共享选择行为研究

为了深入分析出行者的汽车共享选择行为,首先以技术接受模型和计划行为理论为框架,将对汽车共享选择行为具有影响的心理因素整合到传统的离散选择模型之中,形成混合选择模型.然后,基于南京市的实证调查数据,运用混合选择模型对出行者的汽车共享选择行为进行研究.结果表明,出行者对于汽车共享的感知有用性、感知易用性、行为态度、知觉行为控制等心理态度潜变量对其选择行为产生显著的正向影响,混合选择模型比传统不带潜变量MNL模型对实证数据具有更高的拟合度.