---
title: SYSTRA secures £43.5k for AI research into road safety incidents
url: "https://www.systra.com/uk/news/systra-secures-43-5k-for-ai-research-into-road-safety-incidents/"
type: post
date_published: 2024-11-18
date_modified: 2024-12-16
schema:
  @type: Article
language: en-GB
word_count: 492
reading_time: 3 min
canonical: "https://www.systra.com/uk/news/systra-secures-43-5k-for-ai-research-into-road-safety-incidents/"
featured_image: "https://www.systra.com/uk/wp-content/uploads/sites/11/2024/11/featured-image-systra-secures-43-5k-for-ai-research-into-road-safety-incidents.png"
categories:
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---

# SYSTRA secures £43.5k for AI research into road safety incidents

![A blue line technology image of a car driving down a road. There are depictions on either side of hills and sensors.](https://www.systra.com/uk/wp-content/uploads/sites/11/2024/11/featured-image-systra-secures-43-5k-for-ai-research-into-road-safety-incidents.png)

SYSTRA has secured £43.5k from the
[Transport Research and Innovation Grant (TRIG)](https://cp.catapult.org.uk/news/cutting-edge-transport-projects-receive-1-4-million-to-encourage-innovation-and-deliver-growth/)
to fund work on addressing road safety with artificial intelligence (AI).

The transport consultancy will use the funding to develop a novel AI application
that can classify the physical environment surrounding road collisions in Great
Britain, using data from OS MasterMap, Earth Observation and CAD drawings.

This will allow the identification of:

- where risks of serious and fatal collisions exist on the road network;
- what type, quantity and severity of incidents are associated with different
  physical environments; and
- how the existing physical environment could be changed to improve road safety

Such insights can be of value to road and urban designers, giving them a
mechanism to assess the road safety risks associated with preliminary designs
and how they could be improved, before work begins on the ground.

![A road design assisted by AI](https://www.systra.com/uk/wp-content/uploads/sites/11/2024/11/addressing-road-safety-incidents-with-ai_01-1024x576.png)

_Addressing road safety incidents with AI_

Digital Director Malcolm Calvert, whose team lead on the bid, said the research
will form an important element of the work the SYSTRA Signature Team is doing
using AI to understand and address road safety incidents.

“We’re delighted to have received the TRIG funding, and are looking forward to
helping improve road safety across the country by using AI to help find
innovative solutions that we can offer to clients across a range of new
projects,” Malcolm commented.

“AI technology forms a crucial part of analysis, and implementing this type of
technology maintains SYSTRA at the cutting edge of safety work for highways and
other transport infrastructure. This project forms part of our wider vision to
develop a range of digital and AI solutions to the many challenges we face in
the transportation sector.”

![A headshot image of Malcolm Calvert. Malcolm is wearing a grey jumper and is smiling at the camera. The backdrop is white.](https://www.systra.com/uk/wp-content/uploads/sites/11/2024/11/malcolm-calvert-683x1024.jpg)

> We’re delighted to have received the TRIG funding, and are looking forward to
> helping improve road safety across the country by using AI to help find
> innovative solutions that we can offer to clients across a range of new
> projects,.
> Malcolm Calvert, Digital Director, SYSTRA Ltd

This project was one of 32 to receive a share of £1.4m from the Department for
Transport fund, aimed at driving innovation and revolutionising the UK transport
sector.

SYSTRA is focused on providing the digital solutions that make transport safer,
more efficient and more cost effective at every stage of development, and
ultimately, provide better more resilient infrastructure for the communities
that use it every day. Find out more about
[digital solutions and software development at SYSTRA](https://www.systra.com/uk/services/data-modelling/digital-solutions-and-software-development/)
.

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