Mott MacDonald’s geospatial data accelerates transport digital twin

Mott MacDonald and Alchera Technologies have secured funding from the Geospatial Commission to use geospatial data to help solve transport challenges.

Mott MacDonald will work with its technology partner Alchera to build a real-time digital twin based on existing traffic models, the growing array of roadside sensors, and machine learning techniques that will enable more effective real-time traffic management measures and optimise use of the road network capacity.

Alchera’s cloud-based AI software, Alpha, will provide real-time data on vehicle movements around major infrastructure and will be used alongside Mott MacDonald’s mesoscopic traffic modelling.

Smarter mobility solutions, underpinned by location data, will enable users to make the most of our transport networks by boosting capacity, reducing environmental impacts and decreasing travel times.

The first phase of the feasibility study aims to prove that live feeds from traffic sensor data can be automatically ingested and mapped in real-time to a virtual representation of the road network in a mesoscopic traffic model. In the second phase, the expectation is to have a fully operational, self-improving digital twin that will present outputs geospatially, supporting better informed operational decision-making.

Steve Canadine, managing director transportation, Mott MacDonald, said: “The work builds upon our long-term development of digital twins and our support for the Centre for Digital Built Britain. The project also represents a perfect hybrid of our core purposes – net-zero, digital innovation and social outcomes.”

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