奔驰轿车的行驶稳定性电子控制系统

电子稳定程序（ＥＳＰ）控制系统是一种在各种行驶条件下能提高车辆行驶稳定性的主动安全体系。ＥＳＰ控制模块根据输入信号确定在当前行驶条件下，以下６种工作模式中的一些应被接通，即普通模式、ＡＢＳ控制模式、ＡＳＲ控制模式、ＭＳＲ控制模式、ＥＳＰ控制模式及ＥＳＰ切断模式。     

Stability assessment for intact ships in the light of model experiments

A systematic method for assessing intact ship stability with a free-running model in a seakeeping and maneuvering basin is proposed in this paper. Model experiments were carried out in extremely steep regular waves for a model drifting, running in head seas, and quartering seas. This method was applied to two purse seiners, and efficiently identified thresholds in metacentric heights for capsizing of these ships. These capsizing thresholds are compared with requirements of the IMO Code on Intact Stability. This series of model experiments also confirms that capsizing at the threshold occurs only in quartering seas, and shows that capsizing is caused by broaching, loss of stability on a wave crest, or bow diving. Received for publication on Jan. 20, 1999; accepted on July 6, 1999     

贵阳机场岩溶洼地填筑体变形与稳定性数值模拟

以贵阳龙洞堡国际机场试验段工程为例对岩溶洼地填筑体变形及稳定性进行数值模拟研究。研究结果表明:强夯对岩溶洼地地基土处理具有较好的效果，能有效降低填筑体的沉降量及边坡位移量；填筑体沉降量随着填筑体厚度减小而减小。     

A combined use of phase plane and handling diagram method to study the influence of tyre and vehicle characteristics on stability

This paper deals with in-curve vehicle lateral behaviour and is aimed to find out which vehicle physical characteristics affect significantly its stability. Two different analytical methods, one numerical (phase plane) and the other graphical (handling diagram) are discussed. The numerical model refers to the complete quadricycle, while the graphical one refers to a bicycle model. Both models take into account lateral load transfers and nonlinear Pacejka tyre–road interactions. The influence of centre of mass longitudinal position, tyre cornering stiffness and front/rear roll stiffness ratio on vehicle stability are analysed. The presented results are in good agreement with theoretical expectations about the above parameters influence, and show how some physical characteristics behave as saddle-node bifurcation parameters.     

基于感知能力的微观交通流动力学建模与仿真

基于驾驶员驾驶行为感知能力，提出了一种新的微观交通流动力学模型. 通过理论分析和数值模拟，对新模型的性能进行了详细的研究分析. 通过理论分析，基于线性稳定性理论，得到了新模型的稳定性条件. 通过数值模拟，深入分析了各参数对密度波和迟滞环的影响，进而对交通流稳定性的影响. 仿真算例结果表明：驾驶员感知能力对交通流稳定性有显著影响，车头距离变化信息可有效增强交通流的稳定性，对stop-and-go 交通拥堵有显著抑制作用，但不可避免的感知缓冲时间会破坏交通稳定性，进而产生严重的stop-and-go 交通拥堵；密度波和迟滞环的数值仿真结果与理论分析结果吻合得很好，验证了理论分析结果.     

出口欧盟双层观光车侧倾稳定性研究

主要阐述影响双层观光车侧倾稳定性的各项因素；对比分析后，提出采用四个高度控制阀的改进方案，最终通过出口认证试验。     

基于DYNAware的车辆稳定性控制仿真研究

使用车辆动力学仿真软件DYNAware／ve—DYNA，建立15自由度的参数化车辆模型，基于稳定性控制原理，以横摆角速度和质心侧偏角为控制变量，采用改进的横摆力矩决策计算方法，用Matlab／simulink建立控制器模型，并通过界面将其导入Ve—DYNA中。最后通过双移线和正弦延迟仿真实验验证了控制策略的有效性。     

8米后置客车行驶左右摇晃原因探讨

针对某6820型后置旅行客车行驶过程中出现的车身摇晃现象，设计人员简要地从悬架系统的配置及布置方式对故障产生原因进行了分析与探讨。     

Using repeated cross-sectional travel surveys to enhance forecasting robustness: Accounting for changing mode preferences

Transportation system capacity and performance, urban form and socio-demographics define the influences and constraints conditioning the preferences of urban residents for different transport modes. Changes in characteristics of urban areas are likely to lead to changes in preferences for alternative modes of transport over time; as a consequence, statistical models to forecast mode choice need to be sensitive to both purposeful changes to urban systems as well as exogenous shocks. We make use of the 1996, 2001 and 2006 household surveys conducted in the Greater Toronto and Hamilton Area to study mode preference evolution and model forecasting performance. These repeated cross-sectional household surveys provide an opportunity to investigate aggregate structural changes in commuting mode preferences over time, in a manner sensitive to changes in the urban area. We focus on commuting mode choices because these trips are prime determinants of peak period congestion and peak spreading. We then address how to combine the three cross-sections econometrically in a robust way that allows for use of a single mode choice model across the entire period. Using independent data from 2012, we are able to compare the individual year and combined models in terms of forecasting performance to demonstrate the combined model’s more robust forecasting performance into the future.