Drones Path Planning for Collaborative Data Collection in ITS

Abstract

Unmanned aerial vehicles (UAVs) are used to physically interact with humans and urgent data collection in a shared workspace. They are flying collaborative robots that can be remotely supervised through a software-controlled flight plans in their embedded systems, working in conjunction with built-in sensors and global positioning system modules. Drones are widely used in safety and critical intelligent transportation systems applications to enhance performance and well-being. UAVs can fly over the road to monitor and observe possible traffic destructions. Path planning (PP) process in UAVs gained a great interest in the literature. That is due to its significant effects at the application-level performance. PP of UAVs in the internet of things era can be achieved via several approaches. As the name implies, static-based PP is dependent on a static set of data collectors to relay and report data. For a particular engineering area, transportation engineering, the mathematical methods, and related algorithms are commonly applied to real cases.