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Mobito Showcases Data-Driven Role in Planning Electric HGV Charging Infrastructure

Mobito Showcases Data-Driven Role in Planning Electric HGV Charging Infrastructure

A LinkedIn post from Mobito highlights the company’s role in the Telford Consortium, led by Aegis Energy and supported by Transport Scotland’s HGV Market Readiness Fund. According to the post, Mobito contributed anonymised vehicle probe data and standstill analytics from more than 50,000 heavy goods vehicles across Scotland to support planning of electric HGV charging infrastructure.

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The post suggests that this dataset generated millions of real stopping events and corridor-level flow patterns, offering visibility into how freight traffic behaves at network scale. Key insights referenced include the importance of long-haul corridor movements in freight energy demand, the concentration of HGV traffic on a limited number of strategic corridors, and the need for infrastructure planning tailored to diverse operational profiles.

Based on these findings, the consortium is described as proposing a demand-guarantee mechanism, characterized as a public-private underwriting model aimed at de-risking early investment in charging hubs and accelerating deployment. The post further argues that this data-driven approach is replicable in any region with access to connected vehicle data, enabling a progression from assumption-based to measurement-based infrastructure planning.

For investors, the post points to Mobito’s positioning as an enabler of data-driven freight decarbonization and infrastructure planning, potentially enhancing the company’s strategic relevance to public authorities, energy developers, and logistics operators. If adopted more widely, similar analytics-led models could increase demand for Mobito’s data services, support recurring revenue opportunities, and strengthen its role within the emerging zero-emission freight ecosystem.

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