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ATLAS AIR TRAFFIC MANAGEMENT SYSTEM

We have observed that all electronic equipment, including communications equipment and computers, have significantly increased their capabilities over time, while they  have also significantly reduced size, power consumption and cost.  The same can be done with air traffic management systems (ATMS). 

All the technology to allow pilotless aircraft to fly anywhere in the world has been available for quite some time.  As a matter of fact, military pilotless automatic guidance and air-traffic-control systems have been available for over 20 years.   Yet, such a system has not been deployed for civil aviation use.   The ATLAS-ATMS will allow any type of VTOL commercial aircraft (non-military) with the appropriate onboard artificial intelligence flight management computer system to take off and land vertically without the aid of a human pilot, in any weather conditions in which the aircraft is capable of flying.  The ATMS will also automatically manage all aircraft for all airports within its assigned coverage area.  

The ATLAS-ATMS will ONLY be available for non-military use.   The air-traffic automated autopilot pilotless guidance system includes many redundant navigation, control and guidance systems, along with its artificial intelligence decision making system.  All of this will be packaged in a  fault-tolerant computer system.    All navigation communication systems will use state-of-the-art encryption technology, to prevent unauthorized access into the system.  

In order to provide multiple users access to the service, open source interface to the air-traffic-control system will be available.  There will be several levels of access into the controlled airspace, from local privately piloted aircraft, to commercial heavy aircraft, to long-distance automatically piloted aircraft.    Legacy and future aircraft will interface with the ATC in one of two ways:  

  The following is a list of onboard sensor guidance systems used by the ATLAS artificial intelligence pilot:  

  1. Redundant GPS, GLONASS, Galileo (GNSS), Compass, Beidou positioning systems

  2. Inertial mechanical navigation system

  3. Inertial laser navigation system

  4. IFR (when available in controlled airspace)

  5. Radar for topography, weather and collision avoidance

  6. Radar altimeter

  7. Laser altimeter

  8. Microwave altimeter

  9. Laser designator landing systems

  10. Artificial Intelligence computer image recognition—for identifying flight and landing terrain features

  11. 1cm accuracy positioning dual -radio triangulation and data communication system—located on cell phone towers

  12. Backup - Remote human piloting via encrypted secure satellite links

  13. Backup - Remote human piloting via encrypted secure local radio data communication system located on cell phone towers

COST: $100M USD to develop the ATLAS ATMS and the ATLAS onboard artificial intelligence piloting system hardware and software.

DEVELOPMENT TIME:  3 years

AVERAGE ESTIMATED DEPLOYMENT COST: $75M per 100,000 km2

ESTIMATED MINIMUM DEPLOYMENT COST per country: $165M

DEPLOYMENT TIME:
18 months per country that already has dual independent cell phone service.  

By the way, if there are any thoughts about copying the design and building it without our input, we advise that there are numerous critical design features not mentioned here. One would therefore find it less expensive, easier and much quicker to involve us. We are interested to talk with people who wish to work and develop with us, join us vs. most likely fail and still run the risk that we get it done first and much better.

In reality there are very few engineering architects in the world that have 20+ years of hands on experience designing and developing very large complex hardware and software systems, these skills along with management skills are a must to build such a complex and interactive system, we have a some of these folks in our team and we know how to hire the rest. Therefore we can do this project for $100M vs. $1B, many more years in development and still fail. We have learned from many large-scale project failures, therefore we are confident that we are among the best in the world do this in the time frame and budget specified.

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