详情

原文传递 Model of Unmanned Aircraft Pilot Detect and Avoid Maneuver Decisions.

题名：	Model of Unmanned Aircraft Pilot Detect and Avoid Maneuver Decisions.
作者：	Guendel, R. E.; Kuffner, M. P.; Maki, D. E.
关键词：	Unmanned aerial vehicles, Airborne collision avoidance systems, Safety analysis, Regulations, Monte carlo method, Pilots, Aviation safety, Reliability, Ground control stations, Air traffic, Manned aircraft, Airspace, Manned traffic
摘要：	For unmanned aircraft to share airspace with manned aircraft, extensive testing is first required to ensure that such vehicles can fly safely with manned traffic. Safe operation includes not only avoiding collisions with other traffic but also complying with the Federal Aviation Regulations to remain well clear of other traffic. One method for investigating the safety of unmanned aircraft operations is fast-time Monte Carlo simulation of encounters between unmanned and manned aircraft. As part of that simulation, one must model how the pilots of unmanned aircraft react to the encounters. To that end, an empirical, rule-based stochastic model of responses of unmanned aircraft pilots has been constructed based on data collected from a succession of human-in-the-loop experiments. This report details the main elements of that model and demonstrates its use in a safety analysis.
报告类型：	科技报告