Ford trialling accident prediction technology

A consortium led by Ford is developing a way of using connected vehicle and roadside sensor data to predict where road crashes may take place.

The Data-Driven Road Safety Tool will analyse the information to suggest the likely locations and possible root causes of potential road safety hotspots. Researchers say the insights will enable cities to take pre-emptive action to address roads and junctions that pose the highest risks to road users.

“Soon every new vehicle will be a connected vehicle, and we see this as an opportunity to reduce road traffic incidents and save lives in a significant way,” said Jon Scott, project lead, City Insights, Ford Mobility, Europe. “By collaborating with leading innovators, experts and academics – and with the backing of Innovate U.K.– we truly believe we can help improve mobility for millions around the world.”

Ford Mobility is working alongside partners including Oxfordshire County Council, AI sensor specialists Vivacity Labs, and leading academics from Loughborough University’s Transport Safety Research Centre, with support from Transport for London. The aim is to develop the tool into a solution that could benefit cities and road users around the world. The initiative has now received financial backing from the Innovate UK, the government-backed innovation fund.

Detailed telematics data from the fleet of vehicles – such as brake or accelerator pedal usage and steering wheel angle – will be analysed alongside information from up to 25 additional smart sensors to be provided in Oxfordshire by Vivacity Labs a specialist in traffic capture and classification, bringing the total number in use up to 100.

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