  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.

Optimization and Control;Signal Processing