Matrix Geo Solutions, a geospatial and engineering consultancy, has secured a project to implement Digital Twin technology for a new Broad Gauge railway corridor in partnership with the Ajmer Division of Indian Railways.
The project focuses on the proposed rail link between Taranga Hill and Abu Road via Ambaji. It will rely on advanced geospatial data and 3D modelling to assist in planning and designing the route alignment.
As part of the work, Matrix Geo will conduct drone-based LiDAR aerial surveys along the corridor. These surveys will collect high-precision ground data used to create topographic maps, elevation models, and orthophoto mosaics, which will serve as the foundational dataset for design and analysis.
The company will also build a 3D Digital Twin of the existing terrain and surrounding environment. The model will include features such as buildings, roads, vegetation, water bodies and utility infrastructure, creating a detailed representation of the project area.
A separate 3D model of the proposed railway corridor will be developed to Level of Development 200 standards. This will include elements such as formation width, toe lines, bridges, tunnels and station structures.
“This project brings together high accuracy data and 3D modelling to support better planning for railway infrastructure. Digital Twin technology allows teams to test and refine designs before execution. Our focus is to create a reliable digital base that supports planning, coordination and long term use,” said Amit Sharma, Whole Time Director, Matrix Geo Solutions.
The project will also include aerial simulation and flythrough visualisations of the proposed corridor. These outputs will support stakeholder reviews and project communication, while also helping improve route planning, reduce rework during construction and strengthen coordination across teams. The same models can later support operations and maintenance.
Through this initiative, Matrix Geo continues to expand its experience in delivering large scale geospatial and digital engineering projects across infrastructure sectors. It also adds to the company’s work in supporting more connected and data-driven transportation networks in India.
