高度信息在立交桥地图匹配中的应用

二维车辆导航系统没有融入高度信息,在处理立交桥路段的地图匹配时有准确性差和实时性不高的缺陷,这些缺陷很难通过提高电子地图和GPS接收信号的精度来得到改善.研究提出将高度信息应用到立交桥路段的地图匹配算法,实验结果表明本算法的匹配准确性在90%以上,判断平均用时缩减为原来的1/2,错误纠正平均用时缩减在6 S以内.     

导航电子地图中路口的交通矩阵与路束模型

导航电子地图是车载导航系统的基础.其蛛式模型使用交通矩阵对路口的交通属性进行描述,适用于车辆导航.为将电子地图数据用于车载导航系统,提出一种路口交通矩阵的计算方法.在通用GIS模型的基础上建立一种新的路束模型以反映路口的类型特征,并通过路束交通矩阵实现路口交通属性的描述.基于路束模型创建了一套蛛式路口交通矩阵的计算方法.实验表明该方法可以方便的用于路口交通矩阵计算,为驾驶者提供准确的路口引导信息,适用于车辆导航.     

基于在线地图交通状态的关键道路动态识别方法

交通拥堵问题日趋严重,关键道路识别成为了交通领域的研究重点. 以在线地图的交通状态数据为基础,利用时空相关性理论计算道路交通状态的预测值和波动影响值,并通过Moran 散点图划分道路类型,提出了基于在线地图交通状态的关键道路动态识别方法. 首先,调用在线地图开发者平台API 采集路网的交通状态数据,利用集成学习动态预测交通状态;其次,分析交通状态波动的传播结构,以此量化道路对其近邻道路的影响值;然后,结合道路交通状态的预测值和波动影响值划分道路类型,进而识别出关键道路;最后,以实际路网为例,论证方法可行性.     

思维导图在《模具制造专业课程》中的应用探索

为了增强实用人才的培养,高职院校增加了各种符合社会需要的专业课程,其中,模具设计与制造专业一直都是高职院校的重点课程,本文结合《模具制造专业课程》的课程特点与应用,分析了我国模具制造课程教学的整体现状,探究思维导图在《模具制造专业课程》中的应用,帮助学生建立系统知识的构架,培养其逻辑思维与创新思维能力,提升教学效果.     

舰船活动规律知识图谱分析系统研究

当代战争形态正向网络化、智能化、精确化发展,未来战场情报信息的分析与敌情规律挖掘对战争胜负的影响至关重要.针对舰船活动军事领域情报信息智能分析的迫切需求,研究面向军事垂直领域的外军舰船知识图谱构建及舰船活动规律挖掘与分析技术.基于信息挖掘技术,对舰船的历史信息进行时空及事件关联分析,形成面向外军舰船活动垂直领域情报信息...     

可维护性机车检修网络图的设计与实现

主要从数据库规划和程序设计两方面，介绍了一种基于Delphi6．0和SQL Server2000的检修网络图动态生成方法，实现了网络图的可维护性。     

多源数据的"房地合一"技术和方法

对房地信息系统开发中房地数据难以统一的难点进行了较为仔细的研究 ,提出了用以实现房地合一的标识法和分割法 ,并在广州市国土房管局基础数据生产与更新子系统中获得成功的应用     

基于技术预见方法的海上浮动核电站关键技术

在对海上浮动核电站科研论文和专利文献进行分析的基础上,结合德尔菲法对海上浮动核电站关键技术进行分析研究,最终确定了小型模块化核反应堆设计等16项关键技术为海上浮动核电站关键技术。研究结果可以为后期海上浮动核电站产业政策制定和技术路线图规划提供相关参考。     

Estimating the most likely space–time paths,dwell times and path uncertainties from vehicle trajectory data: A time geographic method

Global Positioning System and other location-based services record vehicles’ spatial locations at discrete time stamps. Considering these recorded locations in space with given specific time stamps, this paper proposes a novel time-dependent graph model to estimate their likely space–time paths and their uncertainties within a transportation network. The proposed model adopts theories in time geography and produces the feasible network–time paths, the expected link travel times and dwell times at possible intermediate stops. A dynamic programming algorithm implements the model for both offline and real-time applications. To estimate the uncertainty, this paper also develops a method based on the potential path area for all feasible network–time paths. This paper uses a set of real-world trajectory data to illustrate the proposed model, prove the accuracy of estimated results and demonstrate the computational efficiency of the estimation algorithm.     

Investigating the joint choice behavior of intercity transport mode and high‐speed rail cabin with a strategy map

This paper investigates the joint choice behavior of intercity transport modes and high‐speed rail cabin class within a two‐dimensional choice structure. Although numerous studies have been conducted on the mode choice behavior, little is known about the influence of cabin class on their intercity traveling choice. Hence, this study is conducted with a revealed preference survey to investigate the intercity traveling behavior for the western corridor of Taiwan. The results of nested logit model reveal that a cabin strategy has a more significant influence on cabin choice than on mode choice. Furthermore, this study proposes a new strategy map concept to assist transport operators in defining and implementing their pricing strategies. The results suggest that to capture a higher market share, high‐speed rail operators should choose an active price reduction strategy, while bus and rail operators are advised to implement a passive price increase strategy to raise unit revenue. Copyright © 2014 John Wiley & Sons, Ltd.