Researchers use synthetic intelligence to search out street questions of safety in class zones

From left, Erin Erman Ozgovin, a professor of civil and environmental engineering within the FAMU-FSU School of Engineering, and graduate scholar Richard Antwi. They’re running on a learn about that makes use of pc imaginative and prescient gear to map street geometry in class zones in Florida. Credit score: Mark Wallheiser/FAMU-FSU School of Engineering

Researchers on the Heart for Resilient Infrastructure and Crisis Reaction (RIDER) are the use of synthetic intelligence and aerial images to make Florida faculty zones more secure.

A learn about performed by means of researchers at RIDER and the FAMU-FSU School of Engineering makes use of pc imaginative and prescient gear to exchange guide inventories of street options in class zones. The learn about was once revealed in Shipping Analysis Sign up.

“Land-based strategies are tedious, dear and doubtlessly bad to group contributors running on busy roads,” mentioned lead writer and PhD scholar Richard Antwi. “Our analysis group has designed a brand new AI-based software that collects information the use of extra correct, sooner and more cost effective aerial era.”

The researchers used pc imaginative and prescient in response to synthetic intelligence and deep finding out tactics to extract knowledge from pictures and movies and procedure it into helpful information.

They performed the preliminary learn about in Orange County, Florida, which has greater than 250 public colleges with greater than 200,000 scholars and a county inhabitants of about 1.42 million. The group used aerial images archived by means of the Florida Division of Transportation and pc modeling to map faculty zones, then evolved a option to extract recognizable faculty zone markers from fine quality pictures.

Their manner identifies previous, invisible markers by means of evaluating the places of faculty zones with different geometric options, corresponding to crosswalks. This process gets rid of the want to manually input stock information, prevents mistakes and accelerates effects.

“Gathering up-to-date street engineering information is very important for transportation companies as a way to plan, take care of, design and rehabilitate roads,” mentioned Eren Ozguven, director of RIDER and co-author of the learn about. “Our function was once to support this procedure, which can pay dividends for Florida’s scholars, pedestrians and drivers.”

The brand new fashion supplies essential knowledge to transportation companies that can in the end save lives. This system is extra correct and offers essential knowledge for inspecting older, much less visual faculty zone markings that can pose collision and danger dangers. Directors can cope with spaces of want sooner.

The researchers plan to support the fashion by means of incorporating collision, visitors, and demographics information for a extra detailed research.

additional info:
Richard Boado Antwi et al., Detecting College Zones on Public Roads in Florida The use of Aerial Pictures and Synthetic Intelligence (AI2), Transportation Analysis Report: Magazine of the Transportation Analysis Board (2023). doi: 10.1177/03611981231185771

Equipped by means of Florida State College

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