车辆AMT中道路条件及驾驶意图的模糊识别

本文论述了车辆AMT中道路条件及驾驶意图模糊识别的必要性，提出了道路条件及驾驶意图的模糊识别方法，最后给出了在AMT挡位决策中的应用实例。     

六自由度汽车运动模拟器机构的位置姿态误差分析

六自由度汽车运动模拟器是可进行汽车驾驶逼真模拟的训练和研究用设备。本文利用微分平移和微分放置变换方法，通过误差传递矩阵的求解来探讨模拟器运动台主要误差源与运动台位置姿态误差之间的关系，建立了六自由度模拟器运动台的位置姿态误差模型。     

中国典型城市车辆行驶状况的测试统计

介绍了在北京市（大型），长春市（中型）和四平市（小型）三个具有典型特征的代表城市所做的车辆行驶状况的试验及交通状况的调查结果，通过对行驶速度，油耗，档位和加速度等参数的测量与统计，对我国城市车辆行驶状况了最新了解。     

胎面单元对轮胎薄膜湿牵引性能的影响

在潮湿的天气或雨后，轮胎胎面或路面上存在一层很薄的水膜，该水膜使车辆行驶的牵引力降低。建立了轮胎胎面单元挤压膜问题的数学模型，并进行了数值求解，分析了胎面单元的几何参数，液膜厚度和柔性对轮胎薄膜湿牵引性能的影响，为轮胎胎面花纹的合理设计提供了理论依据。     

主被动式网络化汽车驾驶模拟器的研究及应用

本文介绍主、被动式网络化的汽车驾驶模拟器。该模拟器除采用了先进的计算机虚拟现实技术和汽车动力学模型外，还具有模拟器间的网络交互、主被动驾驶模式、运动约束、语音提示、驾驶评价等方面的特点，在应用上具有显著的特色。     

Driving behaviour models enabling the simulation of Advanced Driving Assistance Systems: revisiting the Action Point paradigm

In the field of Intelligent Transportation Systems (ITS), one of the most promising sub-functions is that of Advanced Driver Assistance Systems (ADAS). Development of an effective ADAS, and one that is able to gain drivers’ acceptance, hinges on the development of a human-like car-following model, and this is particularly important in order to ensure the driver is always ‘in the (vehicle control) loop’ and is able to recover control safely in any situation where the ADAS may release control. One of the most commonly used models of car-following is that of the Action Point (AP) (psychophysical) paradigm. However, while this is widely used in both micro-simulation models and behavioural research, the approach is not without its weaknesses. One of these, the potential redundancy of some of the identified APs, is examined in this paper and its basic structure validated using microscopic driving behaviour collected on thirteen subjects in Italy. Another weakness in practical application of the Action Point theory is the identification of appropriate thresholds, accounting for the perception, reaction and adjustment of relative speed (or spacing) from the leading vehicle. This article shows that this identification is problematic if the Action Point paradigm is analysed in a traditional way (car-following spirals), while it is easier if the phenomenon is analysed in terms of car-following ‘waves’, related to Time To Collision (TTC) or the inverse of TTC. Within this new interpretative framework, the observed action points can be observed to follow a characteristically linear pattern. The identification of the most significant variables to be taken into account, and their characterisation by means of a simple linear pattern, allows for the formulation of more efficient real-time applications, thereby contributing to the development and diffusion of emerging on-board technologies in the field of vehicle control and driver’s assistance.     

基于Python的驾驶员打哈欠在线检测方法研究

驾驶疲劳是造成交通事故的主要诱因之一。由世界卫生组织发布的调查研究结果表明,在高速公路中由疲劳驾驶引起的交通事故率占了将近百分之四十,驾驶疲劳检测和预警的技术也越来越受到研究人员的重视。而驾驶员打哈欠是疲劳形成过程中的一个直观指标,文章提出基于Python平台开发一套在线检测驾驶员打哈欠的系统,方法简单、指标稳定可靠,具有实际应用价值。     

美国驾考及交通规则分析

根据在美国缅因州一年的驾驶经历及驾考经验,对缅因州的驾考及交通规则进行了分析。针对中美两国在驾考规则及考试内容上一些较大的区别进行了分析,并对在交通规则上的存在的差异进行了讨论,最后对中美两国在驾考方面及交通规则上的优劣进行了对比分析,并针对中国的现状提出了建设性的建议。     

Development of a driving cycle for the measurement of fuel consumption and exhaust emissions of automobiles in Bangkok during peak periods

The exhaust emissions and fuel consumption rates of newly registered automobiles in Thailand are currently assessed using the standard driving cycle of the Economic Commission of Europe (ECE). Because of the highly different driving conditions, the assessment results may not reflect realistic amounts of emissions and fuel consumption for vehicles in Bangkok traffic, which is well known for its congestion. The objective of this study is therefore to develop a new driving cycle for vehicles traveling on Bangkok’s main roads during peak traffic hours. This paper first presents the development of a method for selecting representative road routes with traffic conditions that are representative of traffic in Bangkok for conducting real-world driving speed data collection. These real-world data are obtained by driving a car equipped with a speed-time data logger along those selected road routes. Several driving characteristics, including various profiles of microtrips, are analyzed from the collected speed-time data, and a number of target driving parameters are then defined for use as a set of criteria to justify the best driving cycle. A procedure for generating driving cycles from the analyzed real-driving data is also developed, and the method to select the cycle that is most representative of Bangkok traffic is described. Comparisons found in the study show that the target driving parameters of the newly developed driving cycle are much closer to those obtained from the real-world measured data than those calculated from the presently used European drive cycle. This would imply that the obtained driving cycle will produce more realistic results of the emissions and fuel consumption assessment tests for vehicles traveling in Bangkok. The methods developed in this study for route selection and driving cycle construction can easily be adopted by other big cities to develop their own vehicle driving cycles. Furthermore, although the developed methods are for passenger cars, similar approaches can be applied to develop driving cycles for other types of vehicle, such as city buses and pick-up trucks.