  Urban Air Mobility is a new concept of regional aviation that has been
growing in popularity as a solution to the issue of ever-increasing ground
traffic. Electric vehicles with vertical take-off and landing capabilities are
being developed by numerous market companies as a result of the push toward
environmentally sustainable aviation. The next stage in the eVTOL development
process would be to define the concept of operation of these conceptual
aircraft and then to integrate them with the existing airspace once they are
airborne. In addition to coordinating with conventional air traffic and other
Urban Air Mobility (UAM) vehicles, collision avoidance with uncooperative
airspace users has to be addressed. Birds and drones of all sizes could be
dangerous for these low-flying aircraft. Innovative collision detection and
avoidance techniques need to be employed due to the uncooperative nature of
these airspace users and different performance characteristics of urban air
mobility vehicles compared to classical fixed-wing aircraft. The aim of this
study is to validate one such system by means of fast-time solutions. This
system uses a decision tree and safety envelopes to prevent collisions with
non-cooperative airspace members. The system is designed to work with different
aircraft configurations used for Urban Air Mobility (UAM) operations. Various
scenarios are modelled by varying intruder type, location, flight path among
others. Changes in flight time and closest point of approach are assessed to
evaluate the system with regard to safety and efficiency.
