基于浮动车数据的行程速度估计算法及优化

    Optimization on Estimation Algorithms of Travel Speed Based on the Real-time Floating Car Data

    • 摘要: 依托重点实验室构建的浮动车采集处理实验系统,从行程速度的交通工程学定义出发,利用实时上传的浮动车数据,构建了以浮动车的驻留时间和路段长度为基础的行程速度估计算法.通过对比现场跟车实验测得的行程速度与算法计算结果,验证了该算法的行程速度结果精度达到90%以上,从而为交通信息服务系统提供了简单、准确的区间速度计算方法.最后,对算法进行了优化,有效地提高了算法效率,为满足大规模应用奠定了基础.

       

      Abstract: Relied on the Floating Car Data Collection Experimental System (FCDCS) constructed in our laboratory, the paper starts with the definition of travel speed in the traffic engineering theory; then, based on the real-time Floating Car Data (FCD), a stay time analysis based travel speed processing algorithm was presented. Through comparing the calculated travel speed with the collected travel speed in the field experiments, the research has validated that the average accuracy of algorithm is over 90 percents, so it indicates that the algorithm is capable of processing the FCD into travel speed simply and accurately. Finally, optimization measures are introduced into the data process. Accordingly, test result shows that the efficiency of data process has been markedly improved.

       

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