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Determining the sample size of probe vehicles in different traffic conditions on freeway

机译:确定高速公路上不同交通条件下的探测车样本数量

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This research aims to investigate the required sample size of probe vehicles that are necessary to report the real-time travel time with a desired statistical accuracy in different traffic conditions on freeways. The corridor studied is SR78-E in the North County of San Diego that connects Oceanside and Escondido. The field data used in this study was collected from PeMS during the period from 0:00 A.M. to 12:00 P.M. (11/19/2014). Based on the corridor information and traffic volume data, this study uses VISSIM to create the simulation scenarios to generate probe vehicle (PV) data for analysis. The relationship between traffic volume under different traffic conditions and required sample size has been studied. The results indicate that the percentage of PVs have some influence on data volume which, in turn, affects the accuracy of the data; To obtain the same accuracy data, small percentage of PVs is required in more congested traffic conditions while large percentage of PVs is needed in lighter traffic conditions; In order to obtain the same accuracy of traffic data, the number of PVs needed in congestion condition is more than that in lighter traffic condition though the percentage of PVs is higher in the latter condition than the former one.
机译:这项研究的目的是调查在高速公路上不同交通状况下,以期望的统计精度报告实时行驶时间所必需的探测车辆的样本量。研究的走廊是圣地亚哥北部县的SR78-E,该走廊连接欧申赛德和埃斯孔迪多。这项研究中使用的现场数据是从PeMS收集的,时间为凌晨0:00。到下午12:00 (2014年11月19日)。基于走廊信息和交通量数据,本研究使用VISSIM创建模拟方案,以生成探测车辆(PV)数据进行分析。研究了不同交通条件下的交通量与所需样本量之间的关系。结果表明,PV的百分比对数据量有一定影响,进而影响数据的准确性。为了获得相同的准确度数据,在交通更加拥挤的情况下需要使用少量的PV,而在较轻的交通条件下则需要使用较大百分比的PV。为了获得相同的交通数据精度,拥挤情况下需要的PV数量要多于轻交通条件下的PV,尽管后者的PV百分比要比前一种情况高。

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