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Unmanned Aerial Vehicles for Smart Cities: Estimations of Urban Locality for Optimization Flights

Unmanned Aerial Vehicles for Smart Cities: Estimations of Urban Locality for Optimization Flights

Tetiana Shmelova, Vitalii Lazorenko, Oleksandr Burlaka
Copyright: © 2021 |Pages: 34
ISBN13: 9781799822493|ISBN10: 1799822494|ISBN13 Softcover: 9781799822509|EISBN13: 9781799822516
DOI: 10.4018/978-1-7998-2249-3.ch015
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MLA

Shmelova, Tetiana, et al. "Unmanned Aerial Vehicles for Smart Cities: Estimations of Urban Locality for Optimization Flights." Methods and Applications of Geospatial Technology in Sustainable Urbanism, edited by José António Tenedório, et al., IGI Global, 2021, pp. 444-477. https://doi.org/10.4018/978-1-7998-2249-3.ch015

APA

Shmelova, T., Lazorenko, V., & Burlaka, O. (2021). Unmanned Aerial Vehicles for Smart Cities: Estimations of Urban Locality for Optimization Flights. In J. Tenedório, R. Estanqueiro, & C. Henriques (Eds.), Methods and Applications of Geospatial Technology in Sustainable Urbanism (pp. 444-477). IGI Global. https://doi.org/10.4018/978-1-7998-2249-3.ch015

Chicago

Shmelova, Tetiana, Vitalii Lazorenko, and Oleksandr Burlaka. "Unmanned Aerial Vehicles for Smart Cities: Estimations of Urban Locality for Optimization Flights." In Methods and Applications of Geospatial Technology in Sustainable Urbanism, edited by José António Tenedório, Rossana Estanqueiro, and Cristina Delgado Henriques, 444-477. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-2249-3.ch015

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Abstract

In this chapter, the authors are presenting opportunities for the use of unmanned aerial vehicles (UAV) in town. Methods for the optimization of flight routes of UAVs in the dependence of target tasks in the city are presented, for example, area monitoring; search and rescue operations; retransmission of communication (in places, where the antenna coverage cannot be set due to terrain specifications); organization of logistics as the safe, cheap, and fast transportation method of goods; for aerial photography, for controlling traffic; for the provision of the first aid to people in emergencies; unmanned taxi. It is done using air navigation information and mathematical methods. Authors suggest dynamic programming methods, GRID analyses, expert judgment method, and fuzzy-logic methods for estimation of risk/safety of flights in the city. Optimization of flows and flexible redistribution of UAV routes in multilevel airspace is provided according to air navigation requirements and standards.

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