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1.
文章介绍了无线传输技术、机器人技术、虚拟器技术、信号调理技术等多种先进技术在“车用传感器与执行器实训系统”中的应用,并通过试验分析,验证了该系统稳定可靠,能满足行动导向教学、理实一体化教学以及项目教学的需求。  相似文献   

2.
交通运输技术发展研究中心研究人员主持和参与了国家有关部委、地方政府、企事业单位委托的大量重大研究项目,并多次获得各级奖项。交通运输技术发展研究中心主要研究领域包括:智能运输系统技术、交通运输数据库技术、地理信息系统技术、交通运输模型与辅助决策技术、微观仿真技术等新技术,并将这些技术广泛应用于交通发展战略、交通运输规划、交通运输管理、物流管理与规划、集装箱运输、交通运输建设项目可行性研究、项目评估、交通运输信息系统开发与管理等。交通运输技术发展研究中心于90年代中期率先将地理信息技术与方法引入我国交…  相似文献   

3.
伴随着虚拟样机技术的不断发展,虚拟物理模型与控制模型联合仿真技术日趋成熟。文中利用ADAMS软件,建立了二分之一车体四自由度汽车主动悬架的虚拟模型。通过集成车辆主动悬架系统的动力学方程,搭建了基于ADAMS和MATLAB联合的汽车悬架系统仿真平台。在此基础上,比较分析了某轿车汽车车身垂直加速度响应和车身俯仰角加速度响应,该模拟结果与文献[1]数学模型的结果基本吻合,从而验证了系统仿真平台正确性。  相似文献   

4.
文章分析了传统铁道工程实训条件的局限性,并针对高铁轨道构造及其施工与维修过程特点,提出了高职院校传统的铁道工程实训教学基地应将高铁轨道构造、施工新技术、维修新设备等引入实训建设中,围绕高铁轨道精调、无缝线路焊接及探伤、大型机械养路等方面实施"高铁"转型改造方案,构建基于当前高速铁路的铁道工程实训教学基地。  相似文献   

5.
介绍了为保证汽车的被动安全性实施的国家基本标准和社会自发制定的评价体系,分析了被动安全性的主要研究内容和方法,着重探讨了国内外利用计算机虚拟仿真技术进行的研究,基于现状,今后的研究方向是更精细化的仿真研究与实现仿真碰撞和实车碰撞的良好交互。  相似文献   

6.
文章介绍了集机械、液压、电子、光学、控制、计算机、传感器、PLC、信息采集等多学科技术于一体的智能交通实训系统的技术原理,阐述了所研制的基于综合科技的智能交通实训系统各子系统的组成、运作方式及教学用途。  相似文献   

7.
<正>2019年9月20日下午,2019年中国技能大赛——第十一届交通运输行业"捷安杯"城市轨道交通服务员(职业组)职业技能大赛上海赛区预赛在张江实训车站举行。上海地铁第一运营有限公司选手罗骐荣获个人一等奖,上海地铁第一运营有限公司荣获团队第一。个人赛前六名选手荣获"上海交通行业技术能手"称号。据介绍,此次预赛由上海申通地  相似文献   

8.
全国交通运输科技大会全面回顾总结了"十一五"交通运输科技工作,研究分析交通运输科技发展面临的新形势、新要求,部署"十二五"科技工作。文章基于交通运输科技大会的部署与要求,介绍了"十一五"交通运输科技工作取得的成绩与经验,分析了"十二五"交通运输科技发展的总体思路和重点任务,提出了做好"十二五"交通运输科技工作的具体要求。  相似文献   

9.
数字·交通     
<正>104项10月,2015年全国交通运输职业教育教学指导委员会交通运输职业教育科研项目确定。2015年交通运输职业教育科研项目共立项104项,其中重点项目19项、一般项目85项。100%近日,国务院常务会议部署加快建设电动汽车充电基础设施,并将发布实施《加快电动汽车充电基础设施建设的指导意见》。会议认为,建设电动汽车充电基础设施,是发展新能源汽  相似文献   

10.
道路运输     
《运输经理世界》2011,(6):23-24
交通运输信息化十二五规划出炉 近日,交通运输部根据《交通运输“十二五”发展规划》编制了交通运输信息化十二五规划。规划提出了“十二五”期间交通运输信息化的总体目标,计划建立更加全面、高效的交通运输运行监测网络,提升信息资源的深度开发与综合利用水平,提升运行效率、服务公众出行;规范市场秩序、  相似文献   

11.
集料-沥青界面强度实验,集料-沥青界面黏合机能影响要素分析,孔隙水压对沥青复合料的损坏原理。本研究经过界面拉拔实验,分析沥青老化、温度和水分等要素对集料-沥青界面黏合机能的影响,探讨车辆载荷作用下孔水压对集料-沥青黏合机能的影响及损坏原理,以为同类沥青复合料路面工程应用提供研究和技术参考。  相似文献   

12.
Conceptual and empirical models of the propensity to perform social activity–travel behavior are described, which incorporate the influence of individuals’ social context, namely their social networks. More explicitly, the conceptual model develops the concepts of egocentric social networks, social activities, and social episodes, and defines the three sets of aspects that influence the propensity to perform social activities: individuals’ personal attributes, social network composition, and information and communication technology interaction with social network members. Using the structural equation modeling (SEM) technique and data recently collected in Toronto, the empirical model tests the effect of these three aspects on the propensity to perform social activities. Results suggest that the social networks framework provides useful insights into the role of physical space, social activity types, communication and information technology use, and the importance of “with whom” the activity was performed with. Overall, explicitly incorporating social networks into the activity–travel behavior modeling framework provides a promising framework to understand social activities and key aspects of the underlying behavioral process. Juan Antonio Carrasco a PhD candidate in Civil Engineering at the University of Toronto, holds a MSc degree in Transportation Engineering from the Pontificia Universidad Católica de Chile. His doctoral research explores the relationships between social networks, activity–travel behavior, and ICTs. His research interests also include microsimulation, land use-transportation, and econometric modeling. Eric J. Miller is Bahen-Tanenbaum Professor of Civil Engineering at the University of Toronto where he is also Director of the Joint Program in Transportation. His research interests include integrated land-use/transportation modeling, activity-based travel modeling, microsimulation and sustainable transportation planning.  相似文献   

13.
介绍了虚拟现实建模语言(VRML),将基于VRML的虚拟现实技术和HTML、 JavaScript相结合,并应用到数字管道中,构建了真实感强、交互性强的可视化虚拟石油管道场景和管道泄漏模型,实现了石油管道虚拟场景的漫游,以及用户与虚拟场景的交互,并及时、直观地反映管道泄漏.应用结果表明:将基于VRML的网络交互式虚拟现实技术应用到数字管道,促进了数字管道的信息共享,提高了数字管道的决策管理效率.  相似文献   

14.
This paper presents a detailed analysis of discretionary leisure activity engagement by children. Children’s leisure activity engagement is of much interest to transportation professionals from an activity-based travel demand modeling perspective, to child development professionals from a sociological perspective, and to health professionals from an active lifestyle perspective that can help prevent obesity and other medical ailments from an early age. Using data from the 2002 Child Development Supplement of the Panel Study of Income Dynamics, this paper presents a detailed analysis of children’s discretionary activity engagement by day of week (weekend versus weekday), location (in-home versus out-of-home), type of activity (physically active versus passive), and nature of activity (structured versus unstructured). A mixed multiple discrete-continuous extreme value model formulation is adopted to account for the fact that children may participate in multiple activities and allocate positive time duration to each of the activities chosen. It is found that children participate at the highest rate and for the longest duration in passive unstructured leisure activities inside the home. Children in households with parents who are employed, higher income, or higher education were found to participate in structured outdoor activities at higher rates. The child activity modeling framework and methodology presented in this paper lends itself for incorporation into larger activity-based travel model systems where it is imperative that children’s activity-travel patterns be explicitly modeled—both from a child health and well-being policy perspective and from a travel forecasting perspective.
Chandra R. Bhat (Corresponding author)Email:

Ipek N. Sener   is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Rachel B. Copperman   is currently a Ph.D. student at The University of Texas at Austin in transportation engineering. She received her M.S.E. from The University of Texas at Austin in Civil Engineering and her B.S. from the University of Virginia in Systems Engineering. Rachel grew up in Arlington, Virginia. Ram M. Pendyala   is a Professor in Transportation at Arizona State University in Tempe. He teaches and conducts research in activity-based travel behavior modeling, multimodal transportation planning, and travel demand forecasting. He is the chair of the Transportation Research Board Committee on Traveler Behavior and Values and vice chair of the International Association for Travel Behaviour Research. Chandra R. Bhat   is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research.  相似文献   

15.
In the US, the rise in motorized vehicle travel has contributed to serious societal, environmental, economic, and public health problems. These problems have increased the interest in encouraging non-motorized modes of travel (walking and bicycling). The current study contributes toward this objective by identifying and evaluating the importance of attributes influencing bicyclists’ route choice preferences. Specifically, the paper examines a comprehensive set of attributes that influence bicycle route choice, including: (1) bicyclists’ characteristics, (2) on-street parking, (3) bicycle facility type and amenities, (4) roadway physical characteristics, (5) roadway functional characteristics, and (6) roadway operational characteristics. The data used in the analysis is drawn from a web-based stated preference survey of Texas bicyclists. The results of the study emphasize the importance of a comprehensive evaluation of both route-related attributes and bicyclists’ demographics in bicycle route choice decisions. The empirical results indicate that travel time (for commuters) and motorized traffic volume are the most important attributes in bicycle route choice. Other route attributes with a high impact include number of stop signs, red light, and cross-streets, speed limits, on-street parking characteristics, and whether there exists a continuous bicycle facility on the route.
Chandra R. Bhat (Corresponding author)Email:

Ipek N. Sener   is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Naveen Eluru   is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. He received his M.S. degree in Civil Engineering from The University of Texas at Austin, and his Bachelors in Technology Degree from Indian Institute of Technology in Madras, India. Chandra R. Bhat   is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research.  相似文献   

16.
Winter  Konstanze  Cats  Oded  Martens  Karel  van Arem  Bart 《Transportation》2021,48(4):1931-1965
Transportation - With shared mobility services becoming increasingly popular and vehicle automation technology advancing fast, there is an increasing interest in analysing the impacts of...  相似文献   

17.
Vyas  Gaurav  Famili  Pooneh  Vovsha  Peter  Fay  Daniel  Kulshrestha  Ashish  Giaimo  Greg  Anderson  Rebekah 《Transportation》2019,46(6):2081-2102
Transportation - Autonomous vehicles (AVs) could change travel patterns of the population significantly and with the rapid improvements in AV technology, transportation planners should address AV...  相似文献   

18.
Transportation - Large scale activity-based simulation models inform a variety of transportation and planning policies using models that often rely on fixed or flexible workplace location in a...  相似文献   

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