An interdisciplinary research team led by Spain's Universitat Oberta de Catalunya (UOC) is leveraging artificial intelligence to reduce traffic accidents in cities.
The researchers trained neural networks to detect probable hazards in an area and found that certain patterns in urban scene layout—such as the arrangement of street furniture and the location of parked cars, advertisements, and facades—may impact accident rates.
The researchers developed a heuristic method to improve urban scenes, but it requires urban planners, architects, or engineers to implement changes based on the algorithm-driven data.
UOC’s Javier Borge said, “Our biggest hurdle is data availability: the analysis requires a rich collection of street view images and open, geolocalized data on accident rates with details of those involved, which are not currently easy to obtain."
From Universitat Oberta de Catalunya (Spain)
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