基于GPS的公交车自动报站系统的设计

为了公交系统的安全,减轻司机的负担,目前迫切需要智能化、自动化的语音报站系统.针对国内公交系统报站装置应用的现状,提出了一个基于GPS定位的嵌入式公交自动报站系统.该系统由嵌入式设备、GPS扩展板及通信接口等组成,采用Linux操作系统及CPS定位技术,自动、准确地播报站名、服务用语,并可提供语音广告等.系统软件可通过串口升级,可同时存储多条线路,可调节定位精度,便于公交车临时更换运营线路,具有很好的应用前景.     

基于GPS和GPRS的公交自动报站系统

本文针对已有报站系统的缺陷提出了基于GPS和GPRS的公交自动报站系统，该系统由GPS单元、GPRS单元、处理器及外围电路和电源模块构成，具有GPS定位、GPRS语音通话和无线通信功能，解决了其中的关键技术，并且完成了系统主要的硬件和软件设计。     

动车组自动报站功能测试方法

动车组自动报站功能由旅客信息系统实现,主要负责列车即将到站、到站停稳、起步离站,三个时刻进行语音和文本的自动播报,从而向旅客传递列车的运行站点信息。当完成报站功能的开发或者修改,车次线路信息的增加或者修改时,均需要对修改内容进行验证。目前动车组旅客信息系统自动报站功能的测试方法较少,传统的测试方法由测试人员添乘跟车,在列车运行过程中对每一站的语音和文字播报进行观察,从而完成本车次的报站功能验证工作。这种测试方法效率非常低,依赖现场作业环境,并且测试回归性差。为了确保自动报站功能在运行过程中的稳定性,提升测试效率,采用GPS模拟软件,根据用户测试指令模拟列车实时位置,计算列车当前位置与一下站的距离；采用MVB数据收发装置,根据用户测试指令,模拟发送列车开关门信号、列车速度信号,完成以MVB为通讯方式的旅客信息系统自动报站测试；借助动车组自动报站功能的测试方法,可以提升测试效率,为自动报站功能稳定运行提供保障。     

采用AVR控制器的GPS授时与定位装置的设计与制作

以解析GPS的时间信息和位置信息为目标,通过使用嵌入式GPS模块和AVR控制器,设计和制作GPS授时与定位装置,实现时间信息和位置信息的解析和显示等问题;首先给出了基于GPS模块和AVR控制器的授时与定位装置的整体构架,然后对各个部分的硬件进行详细设计,给出了硬件设计电路和软件设计框图;最后对所设计的基于GPS模块和AVR控制器的授时与定位装置进行实物制作,证明了设计内容的正确性和可行性,具有一定的实际应用价值。     

基于GPS的公交车自动报站终端设计

设计公交车自动报站终端,利用GPS模块接收位置信息与单片机里预存的数据进行对比,分析车辆运行情况,通过语音芯片播放报站信息,并通过LCD屏幕显示,实现报站的全自动化.     

一种公交班次行驶轨迹精确计算算法的研究及应用

为了解决现有班次、上下行、进出站计算和自动报站存在不准确的问题,提出一种精确的公交班次计算算法,包括GPS漂移过滤、投影、偏离线路、轨迹距离计算、上下行和班次切割等算法。并介绍算法具体应用场合和实际应用效果。通过该算法可以有效地避免自动报站误报、漏报和多报问题,提高了班次计算准确性,为公交公司运营集群调度奠定了基础。     

基于GPS技术的公交车智能控制器

随着人们对城市公交车辆服务需求的增多,传统的公交车控制器已经不能满足日益复杂的要求.基于GPS技术的公交车智能控制器,采用基于ARM Cortex-M3内核的微处理器,利用GPS模块进行卫星定位,SD卡作为存储介质,根据公交车行驶中的经纬度信息进行处理,实现公交车的自动定位、自动报站功能,改变了传统公交车控制器需要司机操控才能工作的方式.     

一种公交车自动报站器设计方案

基于导航技术在车载终端中的发展趋势,设计提出了一个基于GPS/BD2定位的公交自动报站器的设计方案。该报站器以NXP公司的LPC3250作为主控MCU,并配有GPS/BD2双模导航模块、GPRS、调度屏模块、SD卡。采用此报站器,驾驶员不需要手动报站,从而更加专心于驾驶,减少了安全隐患,并且实现了公交车自动语音报站、实时监控、车载多媒体播放等功能,能够很好的满足公交智能化的要求,适合在大中城市公交车中安装使用。     

无线传感器网络在智能公交中的应用

基于无线传感器网络构建成的城市公交实时信息采集系统,实现对城市公交的智能调度与定位.根据网络设计相应的传感器节点,编写相应的软件,实现公交车自动报站和电子站牌车辆信息显示功能.无线传感器网络技术与当前在智能公交系统中采用的GPS技术相比,本系统具有更高的性价比.     

ARM7智能公交车载系统的设计与实现

设计一种智能公交车载系统,并给出了系统的软件和硬件设计方案,该系统以LPC2103为控制核心,通过GPS对车辆的状态信息进行实时采集及分析,采用SD卡作为存储介质,实现公交车的自动定位、语音自动报站、自动记录行驶信息和故障报警等功能;利用ZigBee无线通信模块组成一个智能监控网络实现实时监控与管理.最后,针对公交车载系统接入站牌系统存在高失败率的问题,提出改进的措施和方法.     

基于GPRS/GPS/GIS/Zigbee的智能公交系统设计

介绍了一种城市公共交通监控系统及公交站电子站牌,它是利用GPS、GPRS、GIS、Zigbee以及传感器技术来完善公共交通服务。利用此系统不仅给市民乘车提供了便利,也使得公共交通管理者能够实时准确地掌握公交车运行情况,以便日后更好地规划和管理城市公交车辆的运营。     

基于GPRS和基站定位的城市公交监控装置

分析了基站定位相对于GPS定位在城市公交终端应用中的优势,介绍了基于GPRS和基站定位的公交监控装置设计,并着重阐述了基于ARM嵌入式系统平台的监控装置的技术实现。     

球载天文观测自动跟踪及数据采集综合系统

本文介绍了用于天文观测的球载X射线探测器自动跟踪及科学数据采集综合系统。该系统采用STD总线标准，通过多CPU并行工作方式，实现了基于GPS的对多个天体自动跟踪观测和科学数据采集。     

Predicting the passenger demand on bus services for mobile users

Public transport, especially the bus transport, can reduce the private car usage and fuel consumption, and alleviate traffic congestion. However, when traveling in buses, the travelers not only care about the waiting time, but also care about the crowdedness in the bus itself. Excessively overcrowded bus may drive away the anxious travelers and make them reluctant to take buses. So accurate, real-time and reliable passenger demand prediction becomes necessary, which can help determine the bus headway and help reduce the waiting time of passengers. Based on a large database from a real bus system, this paper aims to present a passenger demand prediction system for mobile users. The system includes a server-side bus information data stream processing and mining program and a client-side mobile application for Android smartphones. The server program continuously monitors for each bus stop the number of passengers waiting at the bus stop, the number of passengers that will pass the bus stop, as well as the traffic conditions in the area around the stop. It delivers real time bus and traffic information to mobile users via restful web services. The client-side location-based mobile application consumes these services to help mobile users make informed transportation choices. For example the availability of buses might be a deterrent when they are too crowded. However, there are three major challenges for predicting the passenger demands on bus services: inhomogeneous, seasonal bursty periods and periodicities. To overcome the challenges, we propose three predictive models and further take a data stream ensemble framework to predict the number of passengers. We develop a prototype system with different types of Android based mobile phones and comprehensively experiment over a 22-week period. The evaluation results suggest that the proposed system achieves outstanding prediction accuracy among 86,411 passenger demands on bus services, more than 78% of them are accurately forecasted.     

面向频道服务的柔性集成模型

针对企业在业务系统集成中对柔性的要求,提出一种信息的集成逻辑组织单元——频道和集成服务组件框架模型,采用总线的消息传输技术和可插入式的构件技术,通过配置不同频道服务实现从接入到消息总线上的消息服务的动态注册和服务提供,部署集成服务组件可扩展频道的集成服务功能。在交通信息集成的应用过程中证明该模型易于扩展并具有较好的柔性。     

基于STM32的双向交互式车载通信系统设计

提出了一种基于STM32的车载通信系统。该系统由STM32 F103 ZET6硬件平台和μC/OS III嵌入式实时操作系统软件平台构成,采用 GPS定位技术获取车辆实时位置,CAN总线技术获取 ADAS设备的行车预警信息和车辆状态信息,应用3G无线网络传输技术上传行车预警特征信息,形成车辆与服务平台双向交互式通信。实验结果表明,该车载通信系统实现了车辆与网络服务平台间高速、可靠、实时通信,具有较高的实用价值。     

An anti-bunching strategy to improve bus schedule and headway reliability by making use of the available accurate information

Bus bunching could seriously damage the stability of transit system. This resultant instability always causes a dissatisfying performance of transit system. The strategies of resisting bus bunching aim at improving schedule and headway reliability so as to improve the level of service of transit system. From a perspective of effectively using accurate and reliable information, a generalized framework is proposed to deal with bus bunching and explain the potential efficiencies of various existing anti-bunching strategies. In particular, a strategy that adaptively determines the actual holding time and/or adjusts the bus cruising speed when a bus arrives at a bus stop is studied in depth. The information required by this new strategy includes only the arrival time of the current bus at the current bus stop and the arrival times of the preceding bus at this bus stop and the next. The nonlinearity of boarding process is also taken into account in this new strategy. Numerical analysis and simulation experiment show that the new strategy can not only alleviate bus bunching and keep high schedule and headway reliability with less slack added in schedule, but also generate a relatively high commercial speed for the cruising buses.     

An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong

In recent years, Building Information Modelling (BIM) has been acting an important role in the delivery of Modular Integrated Construction (MiC) project. However, the full potential of BIM to MiC project cannot be realized without accurate information collection, timely information exchange, and automatic decision support throughout the project life cycle. In order to fulfil such requirements, this paper aims to develop an Internet of Things-enabled BIM platform (IBIMP) for the MiC project. A real-life project located in Hong Kong were deeply explored for developing the platform. The IBIMP consists of smart construction objects (SCOs) equipped with smart trinity tag (STT) and GPS sensor, smart gateway system, data source management service, location-based service, rule-based progress control service, as well as decision support services for prefabrication production, transportation, and on-site assembly processes. With the combination of advanced Internet of Things (IoT) technology and BIM technology, the barriers that hamper the possible functions of BIM can be overcame. By using application scenarios of a subsided sale flats MiC project in Hong Kong as examples, this study demonstrates how problems encountered by independent stakeholders such as inconvenient data collection, lack of automatic decision support, and incomplete information can be addressed by the IBIMP.