论文标题
基于无人机的城市交通监控的优化旅游计划
Optimized tour planning for drone-based urban traffic monitoring
论文作者
论文摘要
无人机或无人驾驶汽车（UAV）已成为道路交通监控的可靠和高效工具。与循环探测器和蓝牙接收器（具有高资本和运营支出）相比，无人机是一种低成本的替代方案，可提供极大的灵活性和高质量的数据。在这项工作中，我们得出了优化的旅游计划，该计划可以遵循跨运输网络区域的快速交通监控。为了得出这些旅行，我们首先确定无人机应飞行的监视位置，然后根据现实的资源限制来计算最低旅行时间旅行。评估结果通过真实的道路网络拓扑提出，以证明所提出的方法的适用性。
Drones or Unmanned Aerial Vehicles (UAVs) have become a reliable and efficient tool for road traffic monitoring. Compared to loop detectors and bluetooth receivers (with high capital and operational expenditure), drones are a low-cost alternative that offers great flexibility and high quality data. In this work, we derive optimized tour plans that a fleet of drones can follow for rapid traffic monitoring across particular regions of transportation network. To derive these tours, we first identify monitoring locations over which drones should fly through and then compute minimum travel-time tours based on realistic resource constraints. Evaluation results are presented over a real road network topology to demonstrate the applicability of the proposed approach.
