We build a digital replica of traffic to evaluate
the present and plan the future.
We have designed a modular architecture to have maximum flexibility to integrate any data source and existing tools.
Our automated pipeline allows to generate and calibrate models in no
time. This reduces costs and time requirements, facilitating model-based
traffic planning and operations.
The inclusion of open
standards significantly
improves the possibilities for
collaboration between
stakeholders.
Moreover, we use a digital thread to offer
full transparency and end-to-end
traceability in all of our products.
We use diverse cutting-edge research driven methods in combination with established KPIs to guarantee interpretation of your data.
Indicators related to traffic flow but also related effects
such as emissions can be displayed and analysed in real-
time within our dashboard.
The effects of traffic management measures on the regional traffic system can only be partially calculated or simulated statically. With Transcality’s digital twin, we were able to simulate various adjustments to traffic signal controls while simultaneously analyzing the impacts on the regional traffic system.
Planning a large infrastructure project requires model-based evaluations to improve decision making. These models need to be highly flexible and adaptive to accommodate changing requirements. Transcality’s digital twin proved to be the ideal solution for our initial traffic impact estimates and greatly enhanced our what-if scenario analyses.
Following Covid -19 we needed to understand how new patterns of travel by our customers, and the delivery of new infrastructure, such as cycle lanes, would impact the operational performance of the London road network. Transcality’s technology and expertise helped us develop a reliable model that enabled us to simulate and analyse various recovery scenarios effectively.
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