  It is highly predicted that the roads and parking areas will be extremely
congested with vehicles to the point that searching for a novel solution will
not be an optional choice for conserving the sustainability rate of the overall
humanity's development growth. Such issue could be overcome by developing
modified generations of the Urban Air Mobility (UAM) vehicles that essentially
depend on the Vertical and/or Short Take-Off and Landing (V/STOL) feature to
increase the efficiency of landing capabilities on limited-space parking areas.
The complexity of integrating an efficient and safe V/STOL feature in such UAM
vehicles is notably difficult comparing with the conventional and normal
techniques for landing and take-off. The efficient V/STOL feature should be
carried out by a complete and collaborative Cyber-Physical System (CPS)
processing architecture, such as the CPS-5C architecture. In this paper, we
only proposed two CPS-5C physical layers of a V/STOL Autonomous Landing
Guidance Assistant System (ALGAS2) processing unit to increase the reliability
of the vertical landing mechanism. The proposed V/STOL-ALGAS2 system depends on
Fuzzy Logic System (FLS) as the advanced control unit. Furthermore, the
proposed ALGAS2 system depends on four symmetric and segregated processing
ALGAS2 cores that processing the data in a fully parallel and independent
manner to enhance many essential security and safety factors for the futuristic
UAM vehicles. The proposed ALGAS2 digital circuits architecture has been
designed using MATLAB and VHDL. Also, it has been further analyzed for the
implementation and validation tests using the Intel Altera OpenVINO FPGA board.
The proposed ALGAS processing unit attained a maximum computational processing
performance of about 21.22 Giga Operations per Seconds (GOPS).
