面向交通领域的仿真技术运用综述

随着城市交通的快速发展,对交通仿真技术的应用变得更加急切.本文对现阶段国内外相关研究进行梳理,简单介绍仿真技术在国内、国外的发展历程以及在交通运输工程领域的应用状况,分析了交通系统仿真技术的研究现状、研究热点及发展趋势.在此基础上分别介绍了交通系统仿真技术在行人运动仿真、海上运输和道路交通的发展及运用情况,将交通系统仿...     

“新工科+智能建造”背景下桥梁工程课程虚拟仿真实践教学研究与探索

智能化时代桥梁工程专业发生系统性变革,传统的桥梁工程课程教学面临新的机遇与挑战。“新工科+智能建造”背景下借助信息化技术打破传统实训教学模式,完善教学架构,建立虚拟仿真实践教学模式,既能从多方面完善课程体系,也能提升学生学习效率,为桥梁工程课程的实践教学改革提供助力。从桥梁工程课程实践教学难点入手,探寻桥梁工程课程虚拟仿真实践教学的优势,发现借助虚拟仿真实践教学推动桥梁工程课程优化,有利于加强问题的针对性化解,也能推动桥梁工程课程虚拟仿真实践教学系统性优化与创新。     

多技术融合的车用传感器与执行器实训系统研制

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。     

国家计委综合运输研究所 交通运输技术发展研究中心

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…     

基于校企共建的"创新创业"平台建设初探

道路交通建设的过程中,急需大量高素质的道桥类专业人才.传统的人才培训模式仅针对学生对道桥类专业理论知识的掌握,而忽视了学生的动手能力,无法与企业实现联动,更不能提供学生创业的必要支持.鉴于此,通过校企共建,基于"创新创业"平台,实现新形势下的道桥类校企共建共享型综合实训基地,能够强化校企关系、提升学生动手能力、达到实训...     

基于Adams和Matlab联合的汽车悬架系统仿真分析

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。     

传统铁道工程实训向“高铁”转型的研究与实践

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。     

汽车被动安全性及碰撞仿真研究综述

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。     

基于综合科技的智能交通实训系统的研制

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。     

上海预赛：勤练内功，终得硕果

<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     

路面沥青复合料基于孔隙水压力损坏的实验分析探究

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。     

Exploring the propensity to perform social activities: a social network approach

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.     

基于VRML的虚拟现实技术在数字管道中的应用

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.     

An analysis of children’s leisure activity engagement: examining the day of week, location, physical activity level, and fixity dimensions

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.

An analysis of bicycle route choice preferences in Texas,US

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.

Relocating shared automated vehicles under parking constraints: assessing the impact of different strategies for on-street parking

Transportation - With shared mobility services becoming increasingly popular and vehicle automation technology advancing fast, there is an increasing interest in analysing the impacts of...     

Incorporating features of autonomous vehicles in activity-based travel demand model for Columbus,OH

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...     

Integrated population synthesis and workplace assignment using an efficient optimization-based person-household matching method

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...