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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

The invention relates to 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 portion of a travel time and a travel time - maximum deviation in the sample vehicle has travelled over are available, wherein after the exit from the section at the point in time t1 with a current travel time t1 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, and wherein 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:本发明涉及一种通过小故障进行基于中心的,时间上的,预测性的干扰识别的方法,该方法是通过多个样本车辆在交通网络上通过与路段有关的行驶时间估计来进行检测的,其中,对于行驶时间和行驶时间的一部分,样品车的最大偏差已经越过,其中在时间点t1离开该区段之后,当前行驶时间t1被存储的行驶时间与测试的样品车的实际行驶时间t1之间存在差,并且在超过最大偏差时,可以检测到不希望的侧面,并且将来自样本车辆的行驶时间t1传送到中心站,其中,中央根据接收情况使用t1在该区间的预期时间行进中确定tp(t)的时间过程,此外,tp(t)到行驶时间tp表示哪个样本车辆在进入s时已经行驶了需要经过该段的时间t。

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