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

Authors :
Xuejun Zhang
Yang Liu
Yu Zhang
Xiangmin Guan
Daniel Delahaye
Li Tang
Source :
Journal of Advanced Transportation, Vol 2018 (2018)
Publication Year :
2018
Publisher :
Hindawi-Wiley, 2018.

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.

Details

Language :
English
ISSN :
01976729 and 20423195
Volume :
2018
Database :
Directory of Open Access Journals
Journal :
Journal of Advanced Transportation
Publication Type :
Academic Journal
Accession number :
edsdoj.9632ac2e834a9ba5b8b216d1fdc764
Document Type :
article
Full Text :
https://doi.org/10.1155/2018/4731585