自动拨号文件传输系统

本系统是利用电话网及调制解调器通过自动拨号来实现计算机之间的文件自动传输,并使用SQL语言在传输过程中自动形成和修改有关的记录文件,此外还具有系统设置、记录查询、统计、传输过程中的实时监控等功能,为系统设计了一个多媒体演示软件.     

列车通信网结构及其协议的研究

介绍了列车通信网的主要功能和特点。在此基础上，对列车通信网规范进行了研究，将几种通用局域见及流行的现场总线的特点进行了对比，提出目前我国列车通信网可采用的体系结构和网络协议。     

纯电动客车的CAN网络系统设计与开发

纯电动（PEV）客车相比于传统客车对整车的网络控制要求更高,其复杂的车载电子电气设备产生的干扰不仅严重影响外界电子设备和系统的正常工作,而且在相互之间也产生电磁干扰,影响自身正常工作。本文对网络设计中的一些关键问题进行研究,以有助于提高网络控制的稳定性和抗干扰性等。     

在线监测系统在工业水管网中的应用

该文针对上海石化地区工业水管网的运行情况,研究了在线监测方法,建立了管网在线监测系统,并对系统运行效果进行了分析评价。研究表明,该系统反馈及时、信息准确、运行经济,可实现远端无人值守,提高水厂的运行质量。     

谈析某大型后推式铰接公交车的网络化应用

详细地论述了蜀都牌CDK6182CHR大型后推式铰接公交车网络构架、电源和起动电路的控制策略、铰接盘的功能以及控制指令的逻辑关系。     

多层次公交线网拓扑结构分析

为构建与城市道路等级相类似的分级(层)公交线路,明确不同线路的主体功能,有序而科学的引导乘客的出行行为和习惯,减轻地面道路交通压力的同时创建一个优良的公共交通服务体系,根据城市布局结构和路网架构特征,参考一般的公交线网结构,构建适应多层次公交特点、分别适用于单中心、多中心、分离式组团和带状等4类城市用地布局的公交网络拓扑结构,并提出了串联、并联、叉联和枝联等4种线路连接方式。研究结果可用于指导不同用地布局城市多层次公交线网架构,并为进一步深入研究多层次公交线网的规划设计打下基础。     

灾害事件下局域路网应急疏散交通分配模型

应急疏散的目的是要在灾害发生时将处于危险地带的人群尽快转移至安全地带。针对不同灾害事件类型而引发的单源单汇、单(多)源多汇网络状态的路网疏散问题分别进行了分析。在各路段通行能力的约束条件下,以疏散交通流量最大、总疏散时间最小为优化目标,运用最小费用最大流理论建立了局域路网疏散分配模型。通过实例对模型进行了求解,并在Matlab中得到了实现。通过查找最小截量组成弧的分布位置,并对路网中最小截量组成弧的路段扩容改造,进而有效提高局域路网的应急疏散能力。     

Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System (or a number of other positioning sensors) with a spatial road map with the aim of identifying the road segment on which a user (or a vehicle) is travelling and the location on that segment. Amongst the family of MM algorithms consisting of geometric, topological, probabilistic and advanced, topological MM (tMM) algorithms are relatively simple, easy and quick, enabling them to be implemented in real-time. Therefore, a tMM algorithm is used in many navigation devices manufactured by industry. However, existing tMM algorithms have a number of limitations which affect their performance relative to advanced MM algorithms. This paper demonstrates that it is possible by addressing these issues to significantly improve the performance of a tMM algorithm. This paper describes the development of an enhanced weight-based tMM algorithm in which the weights are determined from real-world field data using an optimisation technique. Two new weights for turn-restriction at junctions and link connectivity are introduced to improve the performance of matching, especially at junctions. A new procedure is developed for the initial map-matching process. Two consistency checks are introduced to minimise mismatches. The enhanced map-matching algorithm was tested using field data from dense urban areas and suburban areas. The algorithm identified 96.8% and 95.93% of the links correctly for positioning data collected in urban areas of central London and Washington, DC, respectively. In case of suburban area, in the west of London, the algorithm succeeded with 96.71% correct link identification with a horizontal accuracy of 9.81 m (2σ). This is superior to most existing topological MM algorithms and has the potential to support the navigation modules of many Intelligent Transport System (ITS) services.     

Using on-board logging devices to study the longer-term impact of an eco-driving course

In this paper the long-term impact of an eco-driving training course is evaluated by monitoring driving behavior and fuel consumption for several months before and after the course. Cars were equipped with an on-board logging device that records the position and speed of the vehicle using GPS tracking as well as real time as electronic engine data extracted from the controller area network. The data includes mileage, number of revolutions per minute, position of the accelerator pedal, and instantaneous fuel consumption. It was gathered over a period of 10 months for 10 drivers during real-life conditions thus enabling an individual drive style analysis. The average fuel consumption four months after the course fell by 5.8%. Most drivers showed an immediate improvement in fuel consumption that was stable over time, but some tended to fall back into their original driving habits.     

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.