Authors:
R. Vani, K. Lalitha, S. Belina V. J. Sara, V. Brindha, Gnaneswari Gnanaguru, Dinka Lale

Addresses:
Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Computer Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India. Department of Computer Science, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India. Department of Computer Applications, CMR Institute of Technology, Bengaluru, Karnataka, India. Faculty of Electrical Engineering and Applied Computing, University of Dubrovnik, Dubrovnik, Croatia.

Abstract:

Air traffic monitoring is an important part of aviation operations and plays a key role in ensuring the safety of aircraft, passengers, and personnel and maintaining efficient use of airspace. The need for increased air traffic and enhanced situational awareness has led to a growing demand for reliable, real-world monitoring solutions. This research introduces a real-time air traffic monitoring system developed with the Raspberry Pi. The system is designed to record, process, and display air traffic data efficiently. Various sensors are used to identify ambient conditions such as temperature, air humidity, air pressure, and even the proximity of aircraft and drones in limited airspace. If the sensor detects abnormal or critical conditions, such as extreme weather changes or unauthorized flight objects, the system immediately activates the alarm mechanism using a buzzer. At the same time, the collected data is transferred to the IoT platform, specifically ThingSpeak, allowing for remote time monitoring. The IoT platform enables certified users, including airport personnel and supervisory staff, to view live data from anywhere and receive immediate notifications about potential fraud and security concerns.

Keywords: Air Traffic; Raspberry Pi; Air Humidity; IoT Platform; Real-Time Air Ride Data; Air Traffic Surveillance; ADS-B Receiver; Visualisation and Analysis; Remote Access; Decision-Making.

Received on: 22/06/2024, Revised on: 28/08/2024, Accepted on: 11/09/2024, Published on: 12/12/2024

DOI: 10.69888/FTSESS.2024.000354

FMDB Transactions on Sustainable Environmental Sciences, 2024 Vol. 1 No. 4, Pages: 211-220

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