Title:

Traffic Visualizer

Poster

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Abstract

Roughly 100,000 aircraft take off each day globally. Each one of these aircraft sends out ADS-B (Automatic Dependent Surveillance-Broadcast) encoded messages, which can be picked up by RTL-SDR receivers (a simple USB device). Even with access to these inexpensive receivers, it is difficult to interpret these 28-bit hexadecimal numbers into readable data. The goal of this project is to create a system that can decode, visualize and store this flight data. With this in mind, we hope to make this information easily accessible so that it can be used by hobbyists and data scientists alike. Even with a RTL-SDR receiver, it is currently very difficult to decode these ADS-B messages, let alone plot the data on a map. This project takes advantage of web servers, web sockets, and several JavaScript and Python libraries to function properly. With these technologies used together we hope to provide a system that will be able to visualize and store ADS-B data.

Authors

First Name Last Name
Nick Moreschi
Nick Spezzano
Razz Alkalay

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Submission Details

Conference URC
Event Interdisciplinary Science and Engineering (ISE)
Department Computer Science (ISE)
Group Applications
Added April 18, 2022, 12:05 p.m.
Updated April 18, 2022, 12:06 p.m.
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