The effects of wheelset driving system suspension parameters on the re-adhesion performance of locomotives

In this study, in order to examine the effects of a wheelset driving system suspension parameters on the re-adhesion performance of locomotives, the stick–slip vibration was analysed according to theoretical and simulation analysis. The decrease of the slip rate vibration amplitude improved the stability of the stick–slip vibration and the re-adhesion performance of locomotives. Increasing the longitudinal guide stiffness of the wheelset and the motor suspension stiffness were proposed as effective measures to improve the re-adhesion performance of locomotives. These results showed that the dynamic slip rate was inversely proportional to the series result of the square root of the longitudinal guide and motor suspension stiffness. The larger the motor suspension stiffness was, the smaller the required longitudinal guidance stiffness was at the same re-adhesion time once the wheel slip occurred, and vice versa. The simulation results proved that the re-adhesion time of the locomotive was approximately proportional to amplitude of the dynamic slip rate. When the stick–slip vibration occurred, the rotary and the longitudinal vibrations of the wheelset were coupled, which was confirmed by train's field tests.     

Suburban attitudes toward policies aimed at reducing solo driving

Policies that are aimed at discouraging commuters from solo driving have become a part of overall efforts to improve air quality and reduce traffic congestion. Since driving alone is the overwhelming choice of employed residents in US metropolitan areas, the political acceptability of proposed policy changes plays a role in their success. The 1992 Orange County (CA) Annual Survey asked employed solo drivers to rate their likelihood of changing from solo driving in response to various fees and incentives. Fewer say they would be very likely to stop solo driving if they were charged a parking fee at work (20%), a smog fee (17%) or a congestion fee (16%), than if their employers paid them a cash bonus for stopping solo driving (28%), or if more public transit (33%) or more carpools at work (35%) were available. Young and lower-status solo drivers are more likely than others to say they would stop driving alone if there were fees or cash bonuses. Current non-solo drivers tend to be young and low income, providing a validity check on the demographic predictors of stated preferences. The findings are discussed in light of recent policy changes in Southern California.     

盘式制动器性能试验台模拟机的研制

对盘式制动器工作原理及试验原理进行了研究，研制开发出了盘式制动器性能试验台模拟机。介绍了模拟机主机部分的设计，实现飞轮组的多片组合，设计出驱动制动系统和单片机测试系统，以保证系统的模拟精度。     

人机混驾环境下基于深度学习的车辆切入轨迹预测

为保证人机混驾环境下自动驾驶汽车的安全行驶,对周围车辆切入轨迹的预测至关重要.本文首先使用Savitzky-Golay滤波器对大规模采集的自然驾驶数据进行去噪处理,根据准则提取车辆切入片段,建立符合中国道路状况的车辆切入数据集.其次,发挥Bi-LSTM网络能充分利用上下文信息的优点和in-out快捷连接有效减少梯度消失...     

AUV水下回收过程中的操纵性仿真研究

在建立自主水下航行器(简称 AUV)六自由度运动模型的基础上,基于势流理论建立了潜艇运动扰动流场对 AUV 扰动力的计算模型,并对回转体 AUV 在回收时靠近潜艇过程中的操纵性进行了仿真,仿真结果显示,AUV 在靠近潜艇的过程中,潜艇扰动流场对 AUV 深度和侧向位移有较大的影响,而对姿态角的影响较小,因此,回转体 AUV 可以稳定地完成水下的回收运动。     

基于支持向量机的水下机器人操纵运动参数辨识

根据平面运动机构试验所得到的水动力系数确定水下运载器的运动方程,应用最小二乘支持向量机对水下运载器的试验数据进行分析,辨识得到了水动力系数,并将辨识得到的参数同平面运动机构试验所确定的参数相比,验证了最小二乘支持向量机进行水下运载器操纵运动参数辨识的有效性。根据所辨识的水动力系数进行了模型验证,证明所辨识得到的水动力参数是可靠的。该方法对水下运载器的操纵和控制的研究有重要意义。     

GPS-based optimization of plug-in hybrid electric vehicles’ power demands in a cold weather city

Using the WPG03 duty cycle developed from global positioning data collected in Winnipeg, Canada, real world energy demands and costs are modeled. Three types of plug-in hybrid electric vehicles, four temperatures and two charging scenarios are compared to a vehicle with an internal combustion engine. Cold temperatures are shown to greatly affect vehicle operation energy costs, which is an important consideration for cold weather cities such as Winnipeg. The largest energy cost savings are obtained for smaller-battery plug-in hybrids that had the opportunity to charge during the day.     

城市公交车行驶工况的构建

以城市公交车为研究对象,运用覆盖率、路段频度等方法,选取城市典型的公交运行线路,并进行大量的实验和实际运行数据的采集。利用主成分析和聚类分析构建行驶工况,研究表明,将众多反映道路交通特征的运动学片段特征值用主成分析法压缩成代表原始数据80%以上信息的3个或4个公因子的方法是可行的,接着用聚类分析提炼这些运动学片段。根据统计分析的概率随机选择并重组实际运动学片段,并以典型公交线路为研究对象进行分析,得出一个基于实际公交车速度的行驶工况,构建能反映典型公交线路交通状况的工况。     

基于自律分散技术的快速公交智能调度系统设计研究

自律分散技术是一种国际上的新型技术,现已被广泛应用到各个相关领域.快速公交是近年来公交系统发展的重要方向,本文从功能需求的角度出发,运用自律分散技术,对快速公交智能调度系统进行横向和纵向结构的设计研究,从而为快速公交系统的发展研究提供一个新的思路,具有一定的指导和借鉴意义.