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A web application framework that tracks multiple aircraft in-air and analyzes the risk based on ADS-B data to minimize the possibility of an incident using Python, Flask and other web technologies

tushargautam/Aviation-Safety-Toolkit-FYP

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Aviation Safety Toolkit Using Data Analytics as a Final Year Project

This project includes data analysis of aircrafts. It is a web-based toolkit that maps the aircraft proximity in a vicinity and detects anomalies and risks in mid-air while generating alerts to the pilots.

2 Main Subsystems

A) Visualization

 A dashboard that visualizes aircraft’s position and maps aircraft direction using angles and co-ordinates 
 1) Description of all In-air Aircrafts
 2) Notifications and alerts to the Pilot
 3) Change Plane at Runtime

The Data

The ADS-B Data

The Visualization Framework

The Framework

The Descriptions

The Aircraft Descriptions

B) Risk Alerts

Detecting mid-air anomalies using present influencing factors such as speed, co-ordinates and direction 
Inform the anomaly to   the pilot by generating alerts and notifications using Haversine’s formula
A 3- tier risk architecture for 3 levels of risks

The Risk Notifications

The Risk Notifications

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A web application framework that tracks multiple aircraft in-air and analyzes the risk based on ADS-B data to minimize the possibility of an incident using Python, Flask and other web technologies

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