Sign In

Communications of the ACM

ACM TechNews

How AI Can Help Curb Traffic Accidents in Cities


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
Detecting vehicles in traffic, their position, orientation, and movement.

A research project at the Universitat Oberta de Catalunya in Spain is harnessing the capabilities of artificial intelligence to make decisions that will make urban traffic safer.

Credit: aiso-lab.com

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)
View Full Article

 

Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


 

No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account