基于短时预测需求的浮动车数据时空特性分析  

Analysis of Space-time Characteristic of Floating Car Data Based on Demand of Short-term Forecast

作　　者：刘静 孙建平[2] 温慧敏[2] 

机构地区：[1]北京四通智能交通系统集成有限公司,北京100081 [2]北京交通发展研究中心,北京100055

出　　处：《公路交通科技》2009年第S1期88-92,共5页Journal of Highway and Transportation Research and Development

基　　金：国家高技术研究发展计划(八六三计划)资助项目(2007AA11Z212);北京市科学技术委员会资助项目(D07050600440704)

摘　　要：以装有GPS的出租车作为浮动车数据采集探测车,把北京市展览馆西路区域作为研究对象,从交通状态的短时预测需求出发,分析了浮动车数据的时空分布特性。以数据量、覆盖强度和覆盖率为指标,采用统计分析的方法,得出在当前浮动车规模和数据采集周期的条件下,2分钟是浮动车数据统计计算的最小时间间隔,其有效覆盖范围是城市高速路、快速路和主干路。GPS-equipped taxis were selected as probe cars to collect Floating Car Data(FCD) in the block of Zhanlanguan West Road which was regarded as the research subject.Based on demand of short-term traffic forecast,the space-time characteristic of FCD was analyzed.Taken amount of data,coverage intensity and coverage ratio as statistical indexes,the result of statistical analysis shows that 2 minutes is the minimum interval for computation under the condition of the current probe vehicle scale and the data acquisition cycle.And this interval is valid in urban freeway,expressway and arterial road.

关 键 词：智能运输系统 最小时间间隔 时空分布 浮动车数据 

分 类 号：U491.14[交通运输工程—交通运输规划与管理]