首页> 外文会议>World Congress and Exhibition on Intelligent Transport Systems and Services >TESTING CELLULAR BASED TRAFFIC DATA COLLECTION TECHNOLOGIES –PERFORMANCE REQUIRED FOR ROAD MANAGEMENT AND TRAVELER INFORMATION
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TESTING CELLULAR BASED TRAFFIC DATA COLLECTION TECHNOLOGIES –PERFORMANCE REQUIRED FOR ROAD MANAGEMENT AND TRAVELER INFORMATION

机译:测试基于细胞的交通数据收集技术–道路管理和旅行者信息所需的性能

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There are many challenges in testing data collection accuracy and latency of floating car technologies, and especially cellular based. Using floating test vehicle as reference, for example, will provide good results even if the detection system doesn't detect slowdowns at all, when averaged for a long time. Cellint's results, which were validated by 3rd parties, are described in this article. Slowdown detection latency is the most important factor, which should be benchmarked against road sensors ONLY during times of SPEED FLUCTUATIONS. A few minutes latency in detecting slowdowns and 10% difference in travel time can be achieved by these systems.
机译:在测试浮动汽车技术(尤其是基于蜂窝技术)的数据收集准确性和延迟方面存在许多挑战。例如,使用浮动测试车作为参考,即使在长时间平均后,即使检测系统根本没有检测到减速,也可以提供良好的结果。本文介绍了Cellint的结果,该结果已得到第三者的验证。减速检测延迟是最重要的因素,只有在速度波动时才应以道路传感器为基准。这些系统可以实现几分钟的延迟检测延迟和10%的旅行时间差异。

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