Chennai Corporation To Create Digital Twin And Map 1,000 km Of Roads

24 Feb 2026 CW Team

The platform will use three dimensional and four dimensional simulation together with artificial intelligence for planning, analysis and scenario testing. Surveillance cameras will be installed at 100 storm water drain points across the city at an estimated cost of Rs 20 million (mn) to strengthen flood monitoring and early warning capabilities. The million (mn) unit is stated to facilitate later references to costings in the project documentation.

The GIS Cell will undertake a Light Detection and Ranging (LiDAR) survey covering around 1,000 km of bus route roads and key interior roads at an estimated cost of Rs 50 mn to generate high resolution road data. The survey will create digital maps to support traffic planning, maintenance prioritisation and asset inventories and the initial LiDAR mapping in the pilot phase will be carried out on Khader Nawaz Khan Road. The combined systems are intended to enable analysis of flood risk, traffic congestion and emergency situations and to improve interdepartmental planning and coordination.

Officials expect the integrated digital modelling and consolidated datasets to guide data driven decisions on infrastructure investments, maintenance cycles and flood mitigation measures. The platform is described as a tool to prioritise interventions, monitor outcomes and refine longer term urban resilience strategies. Departments will be able to draw on consolidated visualisations and analytics to manage resources and coordinate responses during extreme weather and other incidents.

The Greater Chennai Corporation has proposed a Digital Twin pilot for a central part of the city covering around five sq km that includes Nungambakkam, College Road, Greams Road and Anna Salai. The pilot is intended to advance data based urban planning and will be supported by an Urban Data Observatory and an infrastructure asset management system that are yet to be rolled out. The Integrated Command and Control Centre (ICCC) will feed operational data into the platform alongside information from city sensors and geographic information system (GIS) mapping. The platform will use three dimensional and four dimensional simulation together with artificial intelligence for planning, analysis and scenario testing. Surveillance cameras will be installed at 100 storm water drain points across the city at an estimated cost of Rs 20 million (mn) to strengthen flood monitoring and early warning capabilities. The million (mn) unit is stated to facilitate later references to costings in the project documentation. The GIS Cell will undertake a Light Detection and Ranging (LiDAR) survey covering around 1,000 km of bus route roads and key interior roads at an estimated cost of Rs 50 mn to generate high resolution road data. The survey will create digital maps to support traffic planning, maintenance prioritisation and asset inventories and the initial LiDAR mapping in the pilot phase will be carried out on Khader Nawaz Khan Road. The combined systems are intended to enable analysis of flood risk, traffic congestion and emergency situations and to improve interdepartmental planning and coordination. Officials expect the integrated digital modelling and consolidated datasets to guide data driven decisions on infrastructure investments, maintenance cycles and flood mitigation measures. The platform is described as a tool to prioritise interventions, monitor outcomes and refine longer term urban resilience strategies. Departments will be able to draw on consolidated visualisations and analytics to manage resources and coordinate responses during extreme weather and other incidents.

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