基于VISSIM仿真的主干道支路接入控制方式研究

选取VISSIM交通仿真软件,根据实测的主干道交通数据,对软件的交通模型参数进行标定及验证,在此条件下以主路延误及支路延误为控制指标,以双向六车道中央分隔带主干道为对象,可得出在不同流量条件下支路接入的最佳控制方式。     

石太客运专线列车开行方式改变降低电费方案

根据石太客运专线列车开行方案变化,引起牵引变压器容量需求减小情况,提出几种降低电费的方案,可供相关线路参考借鉴。     

Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle

Abstract

Indoor simulator and on-road instrumented vehicle are the most popular ways to analyze driving behaviors by using collected Vehicle Sensor Data (VSD). However, for a same driver, the driving performance could be different in the real world and in the simulated world. Even though many studies have been conducted to discover the differences of driving behaviors in these two circumstances, little research has focused on analyzing the differences in driving style, which can provide more integrated knowledge of a driver from the natural structure, stimulus–response mechanism, of driving behaviors. Therefore, in this paper, the driving styles in both the real world and the simulated world are extracted by implementing the nonnegative matrix factorization method on the collected VSD data. Through this analysis, the driving style differences can be quantitatively described and discussed in detail. It is found that the drivers tend to be more unstable and sometimes aggressive when driving the simulator and the deviation in the perception of temporal gap in two circumstances is also discovered. The research findings are particularly valuable to calibrate the driving simulator and construct more reliable driving behavior models.     

基于深度学习的驾驶员状态识别

提出了基于驾驶员脸部及周围信息的驾驶员状态检测方法。文章通过实车摄像头采集了驾驶员驾驶状态视频数据,利用Dlib和OpenCV库对采集的驾驶员图像进行脸部检测,基于驾驶员脸部数据建立了深度学习数据集,然后基于该数据集设计了一种卷积神经网络模型FaceNet,利用PyTorch深度学习框架在数据集上对模型进行训练,最终得到了有较高准确率的驾驶员状态检测模型,其可识别抽烟、睡觉、左手打电话和右手打电话四种驾驶员状态。     

Factors with the greatest influence on drivers' judgment of roundabouts safety. An analysis based on web survey in Italy

The aim of this paper is to identify the roundabout geometric characteristics affecting the safety perception while the typical maneuvers (entry, circulation, exit) are being carried out. The tool used was an on-line questionnaire, filled out by about 1.650 respondents. Four different dimensionality reduction methods (Cluster Analysis, Correspondence Analysis, Exploratory Factor Analysis and Confirmatory Factor Analysis) were used to analyze the data collected from the survey, in order to examine the key factors affecting the safety perception during the typical roundabout maneuvers. The considerations arising from the final model are the following: 1) the respondents' opinions regarding the safety perception of maneuvers are not preconceived ideas, but they originate from specific safety perceptions due to roundabout geometric configurations; 2) the users prefer definitely single lane roundabouts; this is an important confirmation of most results in the literature; 3) it was quantified the extent of the relationship between the safety perception of the typical roundabout maneuvers and the following aspects: a) maneuver type, b) geometric characteristics of the roundabouts design elements. This is the innovative aspect of the present research whose results have implications regarding theory, infrastructure and the application of new safety technologies.     

泥岩边坡的病害特征及破坏模式研究

高边坡问题在基础建设的发展过程中不断出现,尤其是泥岩边坡问题。文中通过分析泥岩边坡6种病害坡体结构:顺倾层状结构、反倾层状结构、陡倾层状结构、基座式上软下硬结构、交叉式楔形结构,得出了泥岩边坡在不同坡体结构下可能的破坏方式;最终归纳总结出了5种典型的泥岩边坡破坏模式:风化剥落、楔体破坏、倾倒破坏、滑移-拉裂破坏、牵引式滑动破坏。     

城市轨道交通列车驾驶仿真器研究

城市轨道交通列车驾驶仿真器是城市轨道交通部门进行技能培训的高科技设备,能够进行精确的列车操纵性能仿真和逼真的列车驾驶环境仿真。基本功能包括模拟操纵功能、列车动力学计算功能、故障判断培训功能、视景和声音仿真功能以及运动仿真功能。针对城市轨道交通特点,给出了轨道交通列车驾驶仿真器的运行仿真数学模型,提出采用分布式计算机体系结构、MPEG视频压缩技术和基于DirectSound技术的多媒体声音系统,设计具有4层5自由度液压运动平台的驾驶仿真器。并基于以上技术完成了北京地铁交流传动电动客车列车驾驶仿真器的研制,成功应用于北京地铁技术学校学员和北京地铁司机的教育培训。     

基于柔刚体模型的高速车轮振动辐射噪声研究

随着轨道车辆速度的不断提升,其运行噪声已成为城市噪声的主要来源之一,在传统的动力学模型基础上,引入了柔性轮对模块,将车轮辐射噪声与模态结合起来,并对车轮结构进行优化设计,以期为低噪声车轮的研究提供参考依据。     

隧道掘进的半循环通风探讨

探讨了隧道掘进的半循环通风方式，分析了排尘和排烟过程。讨论了半循环通风方法应用于隧道掘进的可能性。