Wheel-rail contact models for vehicle system dynamics including multi-point contact

Advanced modelling of rail vehicle dynamics requires realistic solutions of contact problems for wheels and rails that are able to describe contact singularities, encountered for wheels and rails. The basic singularities demonstrate themselves as double and multiple contact patches. The solutions of the contact problems have to be known practically in each step of the numerical integration of the differential equations of the model. The existing fast, approximate methods of solution to achieve this goal have been outlined. One way to do this is to replace a multi-point contact by a set of ellipses. The other methods are based on so-called virtual penetration. They allow calculating the non-elliptical, multiple contact patches and creep forces online, during integration of the model. This allows nearly real-time simulations. The methods are valid and applicable for so-called quasi-Hertzian cases, when the contact conditions do not deviate much from the assumptions of the Hertz theory. It is believed that it is worthwhile to use them in other cases too.     

Real-time trip purpose prediction using online location-based search and discovery services

The use of smartphone technology is increasingly considered a state-of-the-art practice in travel data collection. Researchers have investigated various methods to automatically predict trip characteristics based upon locational and other smartphone sensing data. Of the trip characteristics being studied, trip purpose prediction has received relatively less attention. This research develops trip purpose prediction models based upon online location-based search and discovery services (specifically, Google Places API) and a limited set of trip data that are usually available upon the completion of the trip. The models have the potential to be integrated with smartphone technology to produce real-time trip purpose prediction. We use a recent, large-scale travel behavior survey that is augmented by downloaded Google Places information on each trip destination to develop and validate the models. Two statistical and machine learning prediction approaches are used, including nested logit and random forest methods. Both sets of models show that Google Places information is a useful predictor of trip purpose in situations where activity- and person-related information is uncollectable, missing, or unreliable. Even when activity- and person-related information is available, incorporating Google Places information provides incremental improvements in trip purpose prediction.     

基于物联网的省级交通运输环境监测系统设计——以贵州省为例

从实际项目的需求出发,对基于物联网的省级交通运输环境监测系统进行了架构设计。使用软件工程的分析和设计理念,介绍了贵州省交通运输环境监测系统的需求分析,系统设计过程。为实现贵州省交通运输环境监测网络建设试点工程提供一定的技术支撑。目标是建设一个运行高效的和适应当前交通运输行业发展特点的环境监测系统。     

三峡工程泄洪深孔弧门液压启闭机管道安装工艺

详细介绍了三峡工程泄洪深孔弧门液压启闭机系统管道安装工艺 ,并对管道焊接工艺进行了具体阐述。特别是针对施工现场的特定环境改变传统的管道安装顺序 ,采取先装泵房及管道 ,后装油缸的工艺 ;对系统管道采取了一次串接注油、分次试压及线性循环冲洗与在线检测的新工艺。实践表明 :该工艺在工程中取得较好的应用效果 ,为深孔孤门液压启闭机系统按期调试奠定了坚实的基础。     

在线检验技术在重卡行业中的应用

工业2025智能智造核心之一为大规模个性化定制产品的柔性协同生产。产品的多样性、差异性给生产检验环节带来了新的课题,如何高效的检验批量差异产品。通过丰富的传感器和摄像头数据采集,系统比对、结果跟踪组成生产在线检验系统。提升了生产环节产品检验效率,保证产品质量和一致性。     

Decision Support Systems for Public Transport Management: The Athens Public Transport Authority Project

This article reports on an implementation study of a computerised decision support system for public transport management for the Athens Public Transport Authority (APTA). The study analysed the current situation, specified user requirements, determined system functionality, designed the system architecture, organised the project and, finally, planned dissemination activities. The decision support system covers the main public transport management activities of APTA - transport service provision, economic and financial planning, passenger complaints and suggestions, and personnel management - offering its users the possibility to study the potential effects of their decisions before implementation. To achieve this, the system will consist of a data warehousing system, for the integrated management of a wide variety of data sources, and of online analytical processing tools, for information analysis and scenario testing. The system architecture has been designed to offer robustness, flexibility, rich functionality and open connectivity. The system aims to help APTA reduce operational costs and provide a better transport service, attracting more passengers to public transport and reducing, in the process, congestion and pollution.     

自律分布数字化列车控制系统及在线扩展技术

现行ATC系统控制模式存在自动闭塞区间长度以性能最差的列车确定,多级制动时加减速度急剧变化,降低乘坐舒适度等缺点,需要构建车载设备智能化程度高的自律数字化列车控制系统(D ATC),以提高我国CTCS等级。有综合车载系统与独立车载系统两种方法实现系统在线构建。用测试方法进行确信性评估,证明综合车载系统便于进行高效率的在线测试和安全运行。     

Real-time freeway traffic state estimation based on extended Kalman filter: Adaptive capabilities and real data testing

This paper reports on real data testing of a real-time freeway traffic state estimator, with a particular focus on its adaptive capabilities. The pursued general approach to the real-time adaptive estimation of complete traffic state in freeway stretches or networks is based on stochastic macroscopic traffic flow modeling and extended Kalman filtering. One major innovative feature of the traffic state estimator is the online joint estimation of important model parameters (free speed, critical density, and capacity) and traffic flow variables (flows, mean speeds, and densities), which leads to three significant advantages of the estimator: (1) avoidance of prior model calibration; (2) automatic adaptation to changing external conditions (e.g. weather and lighting conditions, traffic composition, control measures); (3) enabling of incident alarms. These three advantages are demonstrated via suitable real data testing. The achieved testing results are satisfactory and promising for subsequent applications.     

混合式教学在《汽车测试技术》课程中的应用探索与反思

混合式教学是将线上教学与线下教学相结合的新型教学模式,充分利用混合式教学的优势以达到提升课程质量的目的。文章以《汽车测试技术》课程为例,对课程混合式教学的设计与实践进行了探索,分析了实施效果,进而总结了教学反思,旨在指导课程教学质量持续改进,同时为同类课程的混合式教学提供一定参考。     

Stability of transportation networks under adaptive routing policies

Growing concerns regarding urban congestion, and the recent explosion of mobile devices able to provide real-time information to traffic users have motivated increasing reliance on real-time route guidance for the online management of traffic networks. However, while the theory of traffic equilibria is very well-known, fewer results exist on the stability of such equilibria, especially in the context of adaptive routing policy. In this work, we consider the problem of characterizing the stability properties of traffic equilibria in the context of online adaptive route choice induced by GPS-based decision making. We first extend the recent framework of “Markovian Traffic Equilibria” (MTE), in which users update their route choice at each intersection of the road network based on traffic conditions, to the case of non-equilibrium conditions, while preserving consistency with known existence and uniqueness results on MTE. We then exhibit sufficient conditions on the network topology and the latency functions for those MTEs to be stable in the sense of Lyapunov for a single destination problem. For various more restricted classes of network topologies motivated by the observed properties of travel patterns in the Singapore network, under certain assumptions we prove local exponential stability of the MTE, and derive analytical results on the sensitivity of the characteristic time of convergence to network and traffic parameters. The results proposed in this work are illustrated and validated on synthetic toy problems as well as on the Singapore road network with real demand and traffic data.