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。     

基于高精地图的物流配送车路径规划与跟踪控制

为了解决园区等场景下无人车多途经点配送问题,提出了一种基于矢量化高精地图的车道级全局路径规划、生成和跟踪控制方法。考虑配送车往返途经点顺序对行驶路径总长度的影响,基于高精地图采用A*算法计算各配送点间的最优路径,在此基础上,利用动态规划算法求解经过多个配送点的全局最优路径。应用贝塞尔曲线对规划的路径进行平滑,并根据道路曲率设定不同路径处的参考行驶速度,进而生成车道级的可用于跟踪的目标轨迹。利用车辆二自由度模型设计模型预测控制器进行轨迹跟踪,实现低速物流配送车的自主控制。在 CarSim/Prescan/Simulink联合仿真平台和实车平台上对提出的规划控制方法进行了试验。结果表明,相比传统的依据最近配送点策略确定的路径,所提出的方法搜索出的路径长度平均缩短了 6.15%。所设计的轨迹跟踪控制器能确保配送试验车与目标轨迹的横向偏差在 0.25 m 以内,航向角偏差在5°以内。     

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。     

基于认知地图的地铁空间导视系统优化分析

在认知心理学理论背景下,分析了乘客进入地铁地下空间的心理行为及感受。通过地铁导视系统与认知地图的搭建,剖析完善的地铁空间认知元素,并以此为设计对象,对地铁导视系统中乘客方向感缺失等问题作出一些具体分析与优化。     

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。     

面向电子航道图生产成果资料管理的电子航道图管理系统设计

分析长江航道测量中心进行电子航道图管理特点及要求的基础上,提出了面向电子航道图生产成果资料管理的电子航道图管理系统设计思想。分别论述了系统逻辑结构设计、功能结构设计、数据结构设计。试验系统验证了系统设计的合理性。该系统很好地满足了测量中心对航道图管理的需求,取得了较好效果。     

择一定理及向量优化问题的Benson真有效性

在局部凸Hausdorff空间中，引入了近次似凸集值映射，建立了近次似凸集值映射下的择一定理．最后，获得了近次似凸集值映射向量优化问题标量下Benson真有效性的一个性质．     

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.