Intelligent CPS Data Analytics Platform for a Metro Rail Transport System

This project proposed and developed the Intelligent CPS Data Analytics Platform for a Metro Rail Transport System, tailored for metro rail operations and passenger analytics.

The platform integrates multiple data sources to enable deeper understanding of passenger behavior and system performance.

Key Contributions

• End-to-end analytics platform design
• Focus on scalability and extensibility
• Application of intelligent analytics to urban mobility problems

Research Significance

This work laid the foundation for later transport analytics projects by establishing a system-level approach rather than isolated analysis.

Implementation & Deployment

The platform was successfully tested and deployed within Kochi Metro Rail as part of this research initiative. Key achievements include:

• Distributed Cluster Architecture: Implemented on a distributed computational platform—the first research implementation of this kind in Kerala.
• Analytics Engine: Designed and developed a solid analytics engine using Artificial Intelligence to derive intelligence from automatic fare collection (AFC) ticketing data.
• Research Center: Deployed and tested at Rajagiri Research Center.

Funding & Support

This work was carried out under Research Project DST/ICPS/CPS-Individual/2018/1091(G), funded by the Department of Science & Technology, Government of India, for Kochi Metro Rail Limited. The research was guided by Fr. Dr. Jaison Paul Mulerikkal CMI.

Platform Capabilities

The analytics platform is designed to:

• Analyze ticketing data with temporal context
• Identify passenger flow patterns across the network
• Forecast next-day passenger counts at station level
• Support data-driven decision-making by metro authorities
• Identify peak and off-peak demand patterns
• Enable strategic planning to increase ridership and passenger satisfaction

The ultimate objective is to help metro authorities understand and respond to passenger demand, thereby improving service quality and rider experience.

Media Coverage

The research received recognition in leading publications:

• Deepika: Featured on 4th December 2021
• Rashtra Deepika (EKM Edition): Featured on 4th December 2021 — [Download PDF]

• The Hindu: Featured on 8th September 2022

International Conference Presentation

The work was presented at the International Conference on Metro Rail Data in India titled “Unleashing the Power of Data: Advancing Metro Traffic Demand Forecasting,” organized by I-Metro Society (a collective of 18 metros in India) and hosted by DMRC on 13 October 2023 at The Lalit, Delhi.

Presenter: Prof. Fr. Dr. Jaison Mulerikkal (Principal Investigator)

Video Presentation

• YouTube — Unleashing the Power of Data