Advanced Airline Operations Control System Using NodeJS
Archana Bhardwaj, Shitanshu Goyal, Prachi Khandelwal, Sanya Gupta, Sandeep Saini, DOI : 10.37591/JoCI
[This article belongs to Journal of Control & Instrumentation(joci)]
Keywords
Advanced airline operations control system, flight operations, NodeJs, real time decision making
Abstract
This research paper presents the development of an Advanced Airline Operations Control System (AAOCS) using NodeJS, a lightweight and scalable JavaScript runtime environment. Leveraging NodeJS’s event-driven architecture and non-blocking I/O model, the system facilitates efficient management of flight operations, crew scheduling, resource allocation, and real-time decision-making in the aviation industry. Key features include real-time decision support tools, a microservices-based architecture for scalability, integration with external data sources and APIs, and compliance with regulatory standards. Advanced algorithms for crew scheduling optimization, predictive maintenance, and anomaly detection enhance operational effectiveness. This project demonstrates NodeJS’s potential in revolutionizing airline operations management, improving safety, reliability, and passenger satisfaction.
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