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

机译:无人驾驶航空公司使用高分辨率视频验证流量仿真模型输出

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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:交通仿真模型可以提供具有成本效益和灵活的替代方案,以评估各种巷道设计和交通管理替代方案。为此,我们首先需要确保模型适当校准以反映现有条件。无人驾驶飞行器(UAV)的使用在运输基础设施行业中获得了特别关注。在全国范围内,已经有一种趋势,可以在交通运营中融入UAV,例如包括桥梁和道路检查的交通监控和基础设施管理活动。本研究的目标是评估利用UAV验证流量仿真模型输出的有效性。为此,使用Synchro和Vissim仿真软件开发了两种在Auburn,Alabama的两个仿真模型。 UAV收集的高分辨率视频和摄影数据被用于验证模型反映了研究交叉口的现有流量操作。校准模拟模型并与从寄生虫视频获得的结果进行比较。结果表明,通过在整个交叉路口提供完整的交通措施,可以提高流量仿真的验证程序。

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