地方独立坐标系与WGS-84坐标系转换方法及应用

根据n(n≥3)个点的地方独立坐标及对应的WGS-84坐标,结合平面坐标转换模型、布尔莎模型和三维坐标差转换模型,完成了地方独立坐标系与WGS-84坐标系转换参数的计算。基于该转换模型,利用Google Earth COM API、LibKML等开发接口,完成了AutoCAD数字地形图数据到Google Earth上的三维表示。     

Forecasting current and next trip purpose with social media data and Google Places

Trip purpose is crucial to travel behavior modeling and travel demand estimation for transportation planning and investment decisions. However, the spatial-temporal complexity of human activities makes the prediction of trip purpose a challenging problem. This research, an extension of work by Ermagun et al. (2017) and Meng et al. (2017), addresses the problem of predicting both current and next trip purposes with both Google Places and social media data. First, this paper implements a new approach to match points of interest (POIs) from the Google Places API with historical Twitter data. Therefore, the popularity of each POI can be obtained. Additionally, a Bayesian neural network (BNN) is employed to model the trip dependence on each individual’s daily trip chain and infer the trip purpose. Compared with traditional models, it is found that Google Places and Twitter information can greatly improve the overall accuracy of prediction for certain activities, including “EatOut”, “Personal”, “Recreation” and “Shopping”, but not for “Education” and “Transportation”. In addition, trip duration is found to be an important factor in inferring activity/trip purposes. Further, to address the computational challenge in the BNN, an elastic net is implemented for feature selection before the classification task. Our research can lead to three types of possible applications: activity-based travel demand modeling, survey labeling assistance, and online recommendations.     

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.     

从Google Earth的兴起思考我国虚拟旅游的发展

本文分析了目前我国虚拟旅游业发展的现状,通过对Google Earth软件的介绍及其在虚拟旅游业中应用的分析,得出可供我国虚拟旅游未来发展的启示。     

如何获取免费科技文献全文文章

文中介绍了利用Googlescholar等学术搜索引擎获取免费科技文献全文文章的几种途径与方法。     

基于数字地球的铁路三维空间选线技术研究

研究目的:基于数字地球建立铁路三维空间选线平台.研究结论:系统充分利用了数字地球软件提供的数字地形及高清影像等基础地理信息资源,建立了三维空间选线平台,并在"安康至张家界"、"郑州至万州"等项目中成功应用,应用表明该系统具有以下特点: (1) 实现了从Google Earth中的实时批量提取数字地形与影像数据;(2) 利用Google Earth的KML技术实现在Google Earth进行铁路平面定线,使Google Earth成为铁路的三维空间选线平台;(3) 建立了一个铁路线路及沿线自然环境的属性信息录入和查询机制;(4) 在传统AutoCAD平台下构建了新建铁路线路平、纵、横设计模块,满足铁路线路精细设计阶段的的各种功能,重点解决了纵断面优化问题;(5)实现了铁路设计成果在Google Earth中的三维可视化.     

国际航运管理类专业港航地理实训系统研究

文中探讨国际航运管理专业的港航地理实训系统开发,通过对港航业的人才需求分析,以培养港航业所需人才专业技能为目标,在实时地图和高清卫星图为基础上,以港口信息、船期表、GPS航线监控、常用航线标注、港口卫星图识别等模块功能的实现为主要考核点,建立具有操作灵活性、技术实用性的BS结构实训系统。为高职类港口航运业人才培养提供广阔的学习空间,实现数字化教学。     

用Google Maps实现桥梁管理系统中的地理信息功能

针对目前桥梁管理系统中地理信息模块的开发均采用组件式GIS或者WebGIS模式所存在的问题,提出采用Google Maps开发桥管系统中地理信息模块的方法,并针对B/S和C/S两种结构桥管系统给出具体的示例。示例表明,该方法不失为桥梁管理系统中实现地理信息功能的一个理想选择。     

Google Earth软件在交通管理中的应用

论述了如何使用Google Earth软件研究国内外交通管理方法之间的差异,分析交通工程学理论上的指标和GE软件所能提供的数据,给出了相应的软件操作和KML语言实现方式,从而形成了一套合理、多层次的方法。表述了使用GE软件和Google SketchUp软件进行交通管理演示方案,给出了一整套步骤,其中包括了参数及注意事项,分析这种方法的细节和优越性。     

基于Google Sketchup建模与PTV Vissim仿真构建3D交通环境

该文指出:3D交通是现代城市信息化发展的产物,越来越广泛地应用于城市交通规划、交通微观仿真之中。如何高效、快速地构建3D交通环境是进行交通微观仿真的关键技术和重要载体。基于Google Sketchup建模与Vissim仿真技术,操作简单,效率高,大大降低了在构建3D交通环境工作中所花的时间和精力,从而降低工程成本,加快交通微观仿真技术的推广。