This air traffic control is a web application to be used at airports to control the landing & takeoff of flights at a particular airport to avoid delay in flights. The application is designed to be used by a ATC officer. On the UI there is input table where ATC officers is supposed to enter the details of flight in vicinity of airport.
##Features:
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Helps landing flight based on remaining fuel.
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Considers case of emergency landing.
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Considers space available in a particular airport.
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considers vacancy of runways available at every moment.
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utilises space of nearby extensions for managing flight traffic in case of crowd & for emergency.
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calculates fuel elapsed in landing flight.
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displays tabular data about each flight that which flight should land at which terminal.
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give real time status of each terminal of airport on notification panel.
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predicts whether a flight is delayed or not after it is landed using machine learning.
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this prediction tells the efficiency of air traffic control system, that whether is capable of reducing delays in flights or not.
##Details to be entered:
- Flight no.
- available fuel/ remaining fuel
- whether it requires emergency landing
##Assumptions taken for demonstration:
- every flight landed successfully would takeoff after 10 sec of landing.
- fuel required to travel per km
- no. of runways & terminals in a airport
Simply put all the above file in a folder named "ATC" and open the html file.
- put all files in same folder "ATC".
- open cmd/poweshell/bash shell
- navigate to folder ATC
- compile app.py file using command: python app.py
- go to homepage of website and click on make predictions
- Enter the values and get your predictions.