TRANSPORT
Predictive cities
Tim Reynolds finds out how vision and AI algorithms are making cities safer
I
n cities, around seven out of 10 traffic fatalities are cyclists and pedestrians. Speed kills, but human error also
remains a common cause of accidents, from vehicles turning, reversing and pulling out, or failing to give right of way. Globally, more than half of the 1.3 million people who die in road accidents are road users who aren’t in a vehicle. Speed and red-light camera systems
have helped prevent accidents and protect vulnerable road users for many years, but now there are projects making use of artificial intelligence (AI) to improve safety on roads. For example, the Dubai police are trialling AI technology from Vitronic Middle East to prosecute traffic violations at pedestrian crossings. Te Pedestrian Safety Enforcement System is able to distinguish between different road users in real time, to control traffic lights when a pedestrian is waiting to cross, or to
20 IMAGING AND MACHINE VISION EUROPE APRIL/MAY 2022
document drivers running a red light. But what more is possible? Can AI be used
to predict traffic and road user behaviour? Computer vision specialist Amritpal Singh, CEO of Viscando, is developing technology to support smart cities, autonomous driving and industrial needs. Viscando’s 3D and AI-sensing solutions enable clients to better understand movements and interaction to enable data-driven traffic safety. Te company is based in Gothenburg,
the automotive capital of Sweden, so it has natural contact with the sector. Viscando also works closely with regional authorities on traffic management projects and local information communication technology (ICT) development. Singh believes that prediction of close
future scenarios – not minutes ahead of time, but seconds – is within reach with the technology. Singh is working on projects to understand the intentions of people
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