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Review of Traffic State Evaluation Index Calculation Method Based on Floating Cars

机译:基于浮动车的交通状态评价指标计算方法综述

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The application of floating car detection technology is one of the basic data collection methods for the traffic information system. The quality of data from floating car detection is affected by many factors, including the floating car sample quantity, distribution, the sampling period, the way to divide road and data cleaning method. These factors are crucial for the reliability of collected data. Data collected by floating car technology is comprehensive and flexible, including travel time, speed, distance, queue length and other parameters, of which the application of travel time is the most common. Besides, incident detection through the integrated use of multiple traffic parameters is efficient to improve the level of traffic management.
机译:浮动汽车检测技术的应用是交通信息系统的基本数据采集方法之一。浮动汽车检测数据的质量受多种因素影响,包括浮动汽车样本数量,分布,采样周期,分道方式和数据清理方法。这些因素对于收集数据的可靠性至关重要。浮动汽车技术收集的数据是全面而灵活的,包括行驶时间,速度,距离,队列长度和其他参数,其中行驶时间的应用最为普遍。此外,通过综合使用多个交通参数进行事件检测可以有效地提高交通管理水平。

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