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Vehicle acceleration noise: A solution for real-time highway traffic estimation based on low-speed floating vehicles

机译:车辆加速度噪声:一种基于低速浮动车辆的实时公路交通量估算解决方案

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Highway traffic estimation based on floating vehicle data is one of the major methods in measuring traffic conditions now. Under normal circumstance, average vehicle speed data, which is used to determine traffic conditions, is mainly obtained from taxis and other small vehicles which travel at a speed similar to the road's free traffic flow speed. But for intercity highways and suburban roads that are less traveled by taxis, coach buses and hazmat cargo trucks, which are traveling at a much slower speed compared to the road's free traffic flow speed, are required to compute traffic conditions. This paper introduced a new method in which the traffic condition is estimated using acceleration noise algorithm and a speed classification system, along with the above mentioned low-speed floating vehicle data and verified it by calculating the traffic condition of expressway.
机译:基于浮动车辆数据的高速公路交通量估算是目前测量交通状况的主要方法之一。在正常情况下,用于确定交通状况的平均车速数据主要来自出租车和其他小型车辆,它们的行驶速度与道路的自由行进速度相似。但是,对于出租车少行驶的城际公路和郊区道路,需要长途客车和危险品货运卡车,它们的行驶速度比道路的自由交通流速度慢得多,因此需要计算交通状况。介绍了一种利用加速度噪声算法和速度分类系统估算交通状况的新方法,并结合上述低速浮动车辆数据,通过计算高速公路的交通状况进行了验证。

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