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Method and system for centrally based, temporally predictive disruption recognition by glitches - detection by means of section related journey times estimation

机译:通过故障进行基于中心的时间预测性中断识别的方法和系统-通过与断面有关的行程时间估计进行检测

摘要

A method for centrally based, temporally predictive disruption recognition by glitches - detection by means of section related journey times estimation on a traffic network by a number of sample vehicles, wherein– for a section a travel time and a travel time - maximum deviation are available in the sample vehicle has travelled over,– according to the exit from the section at the point in time t1 with a current travel time t1 the difference between the stored travel time and the actual travel time t1 of the sample vehicle tested and, upon exceeding the maximum deviation an undesired flank can be detected and the travel time t1 from the sample vehicle has travelled over is sent to the central station,– the central according to the reception with the use of t1 the on the section expected time trip time course of tp (t) is determined and additionally, tp (t) to the travel time tp indicates which a sample vehicle has travelled over upon entrance into the section to the time t for passing through the section is require.
机译:一种基于小故障的基于中心的时间预测性中断识别的方法-通过多个样本车辆在交通网络上通过路段相关的行程时间估计进行检测,其中–对于一段,行驶时间和行驶时间-最大偏差可用样本车辆中的车辆行驶了–根据在时间点t1处从该部分的出口经过当前行驶时间t1,所存储的行驶时间与被测试样本车辆的实际行驶时间t1之差,并且超过可以检测到不希望的侧面的最大偏差,并将样本车辆经过的行驶时间t1发送到中心站,–中央根据接收到的使用t1在该区间的预期时间行程时间过程中确定tp(t),此外,到达行驶时间tp的tp(t)表示哪个样本车辆在进入路段时经过了经过t的时间t通过该部分是必需的。

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