论文标题
从天线录像中提取基本图
Extracting the fundamental diagram from aerial footage
论文作者
论文摘要
有效的交通监控在成功解决交通网络中的拥塞方面发挥了基本作用。拥堵与两个可测量的特征，即影响整体系统行为的网络密度密切相关。总的来说，这种系统行为是通过路段，区域或网络的基本图来表征的。在本文中，我们设计了一种创新的方法，通过从无人机平台获得的空中镜头获取基本图。派生的方法包括3个阶段：车辆检测，车辆跟踪和交通状态估计。我们详细介绍了为3个阶段中的每个阶段开发的算法，并在现实世界中演示了结果的适用性。
Efficient traffic monitoring is playing a fundamental role in successfully tackling congestion in transportation networks. Congestion is strongly correlated with two measurable characteristics, the demand and the network density that impact the overall system behavior. At large, this system behavior is characterized through the fundamental diagram of a road segment, a region or the network. In this paper we devise an innovative way to obtain the fundamental diagram through aerial footage obtained from drone platforms. The derived methodology consists of 3 phases: vehicle detection, vehicle tracking and traffic state estimation. We elaborate on the algorithms developed for each of the 3 phases and demonstrate the applicability of the results in a real-world setting.
