無人機(Unmanned Aerial Vehicle, UAV)蓬勃發展時勢所趨，交通部為強化無人機的管理，正研擬「民用航空法」部分條文修正草案，將核准無人機在非融合空域(Non-Integrated Airspace, NIA)的合法使用。為此，無人機在有效管理下，仍有可能遭遇動力失效或無線電干擾而失事，造成第三方(The third party)的危害與損失。由於無人機失事範圍的不確定因素，如何保守評估建立無人機飛航路徑與活動範圍，以降低飛航風險並提升可用信心。據此，無人機飛安事件的風險評估將成為主動預防無人機飛航安全事件的參考依據，飛安風險管理防患未然。
本計畫將以區域中心(Reginal Center)無人機飛航管理系統(UAV Traffic Management, UTM)架構，在可核准的400呎下的非融合空域內，建立無人機可靠、低風險之飛航作業程序與管理。 本計畫的研究範圍主要以無人機執行任務導向飛行時，在善意的操作行為下，從不同的情境因素的區域型中心UTM運作所累積的數據，來建構無人機系統(Unmanned Aircraft System, UAS)飛安事件的風險參數，並了解參數間相互影響情形，確認飛安事件風險強度層級，以衡量飛安事件之風險層級(Risk level)，分別以線性(Linear)與非線性(Non-linear)風險評估模式來衡量無人機飛安事件與衝擊，更可應用於無人機的飛航計畫中。
The development of Unmanned Aerial Vehicle (UAV) is vigorous of trend. UAV flight management is strengthened by Ministry of Transportation and Communications (MOTC) to renovate the draft of “Civil Aviation Act”, and to approve the legal uses of UAV in Non-Integrated Airspace (NIA). Thus, under the effective management of UAV, it is still possible to encounter the accident due power failure or radio interferences that results in hazards and causes casualty to the third party. In consideration of the situation uncertainties of UAV accidents, how to conservatively establish the flight route and activity area can be a way to reduce the safety risk and to increase the confidence level of using UAVs. Accordingly, the risk assessment of UAV flight safety can be established for reference to proactive prevention of UAS flight safety in safety risk management by the anticipators.
This research project proposes the structure construction of the Reginal Center for UAV Traffic Management (UTM) in the Non-Integrated Airspaces below the approved 400 feet, and to establish the reliable and low risky flight operation procedure and management. The scope of this project is mainly focused on the construction of the risk parameters of safety events of UAS. A Regional Center UTM is executed to accumulated operation data with different scenarios and factors under the goodwill in the mission-oriented UAV flights. By employing the Linear and Non-linear evaluation models, the relationship of risk parameters to ensure the intensity of flight safety risk level and to evaluate the impact of safety events can be accomplished for further use in UAS flight planning.
The results of the proposed research can provide the administration to evaluate the UAV flight plans in risk level and to lead to approvals in their mission scopes.