Chennai to Launch Telecom-Powered Digital Twin for Urban Mobility Mapping

The Chennai Unified Metropolitan Transport Authority (CUMTA) is gearing up to roll out an innovative pilot project that uses telecom-powered digital twin technology to understand and improve the city’s mobility patterns.

This initiative will harness anonymised data from mobile networks, including call detail records (CDRs), tower location pings, and app usage logs, to track how people travel within the city. Combined with other datasets like GPS logs from public transport, CCTV footage, and traffic sensors, the system will generate highly accurate origin–destination matrices—key to identifying where trips begin, end, and how long they take.

Pilot Project with Big Ambitions

The pilot phase will focus on a selected transport corridor to test the technology’s capabilities. If successful, the model will be expanded to cover the entire metropolitan area, offering a real-time, dynamic picture of Chennai’s traffic flow and commuter behaviour.

What Makes It Different

Traditional digital twins rely heavily on IoT devices and infrastructure sensors. Chennai’s approach goes a step further by integrating telecom data, which can provide much broader coverage and insights into mobility trends without requiring expensive new installations.

Benefits for Chennai’s Future

• Smarter Transport Planning: Simulating traffic scenarios before implementing policy changes.

• Congestion Management: Identifying peak travel times and bottleneck areas in real time.

• Evidence-Based Policy: Using actual travel data to guide infrastructure investments.

• Seamless Integration: Combining road, metro, bus, and pedestrian data into one planning tool.

A Step Towards Smart City Excellence

If the project delivers as expected, Chennai could become the first Indian city to implement a large-scale telecom-powered digital twin for transport planning. This could place the city at the forefront of smart city innovation in India, setting a benchmark for other metropolitan areas aiming for data-driven, sustainable urban growth.