Real-Time Flight Tracking and Management System
Real-Time Flight Tracking and Management System
Dedicated Team Engagement
19 months
Flight operations managers, airline coordinators, ground staff, passenger service agents
A global airline service provider hired Adorebits to develop a real-time tracking and management system for flights. The general idea was to integrate flight tracking,real analytics, and operational data within one system able to handle massive scale data processing and provide predictive insights for optimizing all the operations.
Aggregation of flight information: The airline has faced the challenge of agglomerating fragmented sources of flight data coming from airlines, airports, as well as third-party providers.
Limitations of Real-Time Tracking: These earlier systems took more time to deliver real-time flight updates, leading to customer dissatisfaction and operational inefficiencies.
Operations showed high latencies: the number and rate of update require for real-time tracking and control would not be possible with the existing infrastructure.
Data Processing & Analysis: It was processing and analyzing millions of amounts of flights and operational data but could not find actionable insights for operational improvements.
Scalability issues: With the expansion of the airline, increasing more flights and international operations, the current systems were unable to scale well.
Flight Data Collection with Node.js & React.js: In React.js, Adorebits built a scalable, front-end flight tracking system that pulled live flight data via Node.js from the various sources, including OpenSky and inner-source APIs of airlines.
Advanced Data Processing with Python, Hadoop and Spark: All the key data pertaining to flight data was processed by having Hadoop and Spark clusters in the team.
Real-time Data Storage and Retrieval with SQL: All critical data relating to flight, passenger, and other operational matters was stored in SQL databases optimized for maximum access speed and updates on the status of flights in real-time.
Scalable Cloud Infrastructure on AWS: The entire system deployed on AWS ensured its high availability and scalability in handling global flight tracking and data-heavy processing.
Containerization with Docker and Continuous Integration with Jenkins: For ensuring easy and effective deployment of the flight management application across various environments, Docker was used for containerizing. Jenkins automated CI/CD pipeline, enhancing efficiency in code updates and rollouts in the system.
Enhanced Real-Time Tracking: Latency for real-time flight data was reduced by the new system, hence up to 40% improvement in data update and operational decisions during a flight.
Predictive Maintenance: Using machine learning models powered by Spark and Python, we decreased unscheduled maintenance from 30 percent to get up to 10 percent aircraft uptime.
Improved scalability: The infrastructure of AWS cloud and Docker containerization has meant easy scalable linear expansion of the system with growing international airports in new regions
Cost-Efficient Data Processing: Hadoop and Spark easily handled big data and reduced 25% of the operational expenses related to data processing and handling.
Adorebits’ Real-Time Flight Tracking and Management System enabled the airline to gain better control over flight operations and increase visibility into all stages of the flight process through improved decision-making ability, making them a major player in the rapidly evolving aviation industry.
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