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Validation of Traffic Simulation Model Output Using High-Resolution Video by Unmanned Aerial Vehicles

机译:高分辨率视频输出的交通模拟模型的验证

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Traffic simulation models can provide a cost-effective and flexible alternative to evaluate the various roadway designs and traffic management alternatives. To do so, we first need to ensure that the models are appropriately calibrated to reflect the existing conditions. The use of unmanned aerial vehicle (UAV) has gained particular attention in the transportation infrastructure industry. On a nationwide scale, there has been a trend to incorporate UAV in traffic operations such as traffic monitoring and infrastructure management activities which include bridge and roadway inspections. The goal of this study is to evaluate the effectiveness of utilizing UAV to validate traffic simulation model outputs. To that end, two simulation models of an intersection in Auburn, Alabama, were developed using Synchro and VISSIM simulation software. The high-resolution video and photographic data collected by UAV were employed to validate that the models reflect the existing traffic operations at the study intersection. Simulation models were calibrated and compared with results obtained from drone videos. The results showed that UAVs have the potential to improve the validation procedure of traffic simulation by providing complete pictures of traffic movements at entire intersections.
机译:交通模拟模型可以提供一种经济高效且灵活的替代方案,以评估各种道路设计和交通管理替代方案。为此,我们首先需要确保对模型进行适当的校准以反映现有条件。在运输基础设施行业,无人飞行器(UAV)的使用已引起特别关注。在全国范围内,趋势是将无人机纳入交通运营,例如交通监控和包括桥梁和道路检查在内的基础设施管理活动。这项研究的目的是评估利用无人机验证交通模拟模型输出的有效性。为此,使用Synchro和VISSIM仿真软件开发了阿拉巴马州奥本市一个十字路口的两个仿真模型。利用无人机收集的高分辨率视频和照片数据来验证模型是否反映了研究交叉口的现有交通运营情况。校准仿真模型,并将其与从无人机视频获得的结果进行比较。结果表明,无人机可以通过提供整个交叉路口交通运动的完整图片来改善交通仿真的验证程序。

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