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      Safety Assessment and Risk Estimation for Unmanned Aerial Vehicles Operating in National Airspace System

      1 , 2 , 2 , 3 , 4 , 5 , 6 , 1
      Journal of Advanced Transportation
      Hindawi Limited

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          Abstract

          This paper proposes an effective approach for modelling and assessing the risks associated with unmanned aerial vehicles (UAVs) integrated into national airspace system (NAS). Two critical hazards with UAV operations are considered and analyzed, which are ground impacts and midair collisions. Threats to fatalities that result from the two hazards are the focus in the proposed method. In order to realize ground impact assessment, a multifactor risk model is designed by calculating system reliability required to meet a target level of safety for different UAV categories. Both fixed-wing and rotary-wing UAVs are taken into account under a real scenario that is further partitioned into different zones to make the evaluation more precise. Official territory and population data of the operation scenario are incorporated, as well as UAV self-properties. Casualty area of impacting debris can be obtained as well as the probability of fatal injuries on the ground. Sheltering factors are not neglected and defined as four types based on the real scenario. When midair collision fatality risk is estimated, a model of aircraft collisions based on the density of civil flight in different regions over Chinese airspace is proposed. In the model, a relative collision area and flying speed between UAVs and manned aircraft are constructed to calculate expected frequency of fatalities for each province correspondingly. Truthful data with different numbers of UAVs is incorporated in the model with the expected number of fatalities after a collision is included. Experimental simulations are made to evaluate the ground impacts and midair collisions when UAVs operate in the NAS.

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          Most cited references16

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          Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-Time UAV Path Planning

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            An improved constrained differential evolution algorithm for unmanned aerial vehicle global route planning

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              Phase Angle-Encoded and Quantum-Behaved Particle Swarm Optimization Applied to Three-Dimensional Route Planning for UAV

                Author and article information

                Journal
                Journal of Advanced Transportation
                Journal of Advanced Transportation
                Hindawi Limited
                0197-6729
                2042-3195
                October 22 2018
                October 22 2018
                : 2018
                : 1-11
                Affiliations
                [1 ]School of Automobile & Transportation, Xihua University, Chengdu, China
                [2 ]School of Electronic & Information Engineering, Beihang University, Beijing, China
                [3 ]School of Information Science & Electric Engineering, Shandong Jiaotong University, Jinan, China
                [4 ]Department of Civil & Environmental Engineering, University of South Florida, Tampa, USA
                [5 ]School of General Aviation, Civil Aviation Management Institute of China, Beijing, China
                [6 ]MAIAA Laboratory, École Nationale de l’Aviation Civile, Toulouse, France
                Article
                10.1155/2018/4731585
                4aec36b7-545c-4e91-a39d-adc1658fdb69
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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