| 城市道路复杂度的浮动车自适应采样算法 |
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| 引用本文： | 曹闻,彭煊,孟伟灿.城市道路复杂度的浮动车自适应采样算法[J].测绘科学,2012(4):87-89,98. |
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| 作者姓名： | 曹闻 彭煊 孟伟灿 |
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| 作者单位： | 信息工程大学测绘学院;61922部队 |
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| 摘 要： | 基于浮动车的城市交通信息采集技术是智能交通系统获取实时交通信息的重要手段之一。针对浮动车的城市交通信息等间距采样的不足,本文设计了一种基于城市道路复杂度的自适应采样算法:①根据道路属性定义道路结点对城市道路网络复杂度的影响因子;②利用四叉树对城市道路网络复杂度进行描述;③根据浮动车的瞬时速度和道路复杂度自适应计算浮动车的采样周期。通过仿真和试验表明,新算法能够在不同复杂程度的道路情况下自适应提供有效、可靠的采样周期。
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| 关 键 词： | 智能交通系统 浮动车 自适应采样 道路复杂度 |
Adaptive sampling algorithm of floating car based on the complexity of urban routes |
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| CAO Wen,PENG Xuan,MENG Wei-can.Adaptive sampling algorithm of floating car based on the complexity of urban routes[J].Science of Surveying and Mapping,2012(4):87-89,98. |
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| Authors: | CAO Wen PENG Xuan MENG Wei-can |
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| Institution: | ①(①Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;②Troops 61922,Beijing 100120,China) |
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| Abstract: | The technologies of traffic information collection based on GPS equipped floating car have become one of the main important means for real-time collecting traffic information in intelligent transportation system.According to the lack of the intervals of traditional algorithms based on equidistant sampling,an adaptive sampling algorithm based on urban routes’ complexity was suggested in the paper.Firstly,according to the attributes of the route,the contributing gene of route’s node was defined that is described as the complexity of urban routes’ network;secondly,the complexity of urban routes’ network was suggested using quarter tree;finally,the sampling intervals were adaptively obtained based on the instantaneous speed of floating car and the complexity of urban routes.The results of simulation and experiment showed that the efficient and reliable sampling interval could be adaptively determined under the circumstantialities of different routes’ complexity. |
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| Keywords: | intelligent transportation system floating car adaptive sampling complexity of routes |
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