A DST-funded integrated analytics framework for urban mobility
This flagship initiative involved the development of a state-of-the-art Intelligent Cyber-Physical System (CPS) Data Analytics Platform specifically engineered for the complexities of urban Metro Rail networks. Funded by the Department of Science & Technology (DST), this project represents a landmark in data-driven transit management.
“Data is the new oil, but intelligence is the engine that drives value from it.”
Modern metro systems generate vast amounts of data-from ticketing and train operations to passenger flows. However, this data often remains siloed, preventing operators from seeing the “big picture.” The challenge was to create a unified, scalable platform capable of processing heterogeneous transit data to provide actionable intelligence for Kochi Metro Rail Limited (KMRL).
We designed an end-to-end analytics framework built on a Distributed Cluster Architecture, ensuring the platform could handle the massive throughput of a growing urban network.
The platform’s success has been widely recognized in both academic and public spheres. It has moved beyond a research prototype to become a critical tool for evidence-based decision-making in urban mobility.
The project was featured in leading national publications such as The Hindu and Deepika, highlighting its role in transforming Kochi into a smart, data-driven city.
The research was presented at the International Conference on Metro Rail Data in India, titled “Unleashing the Power of Data: Advancing Metro Traffic Demand Forecasting,” hosted by DMRC and the I-Metro Society.
DST/ICPS/CPS-Individual/2018/1091(G).