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dc.contributor.authorAl-Turjman, Fadi
dc.contributor.authorDemir, Emre
dc.contributor.editorAl-Turjman, Fadi
dc.identifier.citationAl-Turjman, F., Demir, E. (2019). Drones Path Planning for Collaborative Data Collection in ITS, Al-Turjman, F. (Ed.), Drones in IoT-enabled Spaces (pp. 59-74). Boca Raton, CRC Press, Taylor & Francis Groupen_US
dc.description.abstractUnmanned 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.en_US
dc.description.sponsorshipNo sponsoren_US
dc.publisherCRC Press, Taylor & Francis Groupen_US
dc.subjectIntelligent Transportation Systemsen_US
dc.subjectAkıllı Ulaşım Sistemleritr_TR
dc.titleDrones Path Planning for Collaborative Data Collection in ITSen_US
dc.relation.publicationcategoryInternational publicationen_US
dc.contributor.abuauthorDemir, Emre
dc.contributor.yokid203339 [Demir, Emre]

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