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The technology anonymously identifies different types of road users at selected junctions and controls traffic signals to allow different modes of transportation to be prioritised as and when required.

The initiative forms part of a package of government measures in response to Covid-19 paid for through the Department for Transport’s Travel Demand Management fund.

A bundled offering will combine datasets and machine learning to identify how cities can reduce serious and fatal crashes as well as inform future safety strategies.

The scheme follows an initial pilot at six primary schools with a reported 69 per cent fewer vehicles identified outside those schools during the morning drop-off and afternoon pick-up.

The boulevard of Kulosaaren puistotie is being converted into a shared in-roadway with motor vehicles required to adjust their speeds according to cycling.

Report warns the needs of many disadvantaged and marginalised groups have been ignored and urges the transport sector to raise its ambition and commitment to make cycling more inclusive.