'Send your traffic AI to university' with Citilog's ADL

Artificial intelligence (AI) in traffic management can improve safety and reduce congestion, as forward-thinking cities around the world are finding. However, the biggest challenge with most AI technologies is that they cannot match the keen eye and cognition of human traffic professionals, leading to false positives and distracting from actual roadway calamities.
April 25, 2023
Bill Weber with the Citilog solution
Bill Weber with the Citilog solution

That is where Citilog’s Applied Deep Learning (ADL) comes in. Here’s how it works: video-based automated incident detection from Citilog is fed thousands of actual examples of traffic incidents – wrong-way driving, stopped vehicles, smoke in tunnels, pedestrians and cyclists, debris, slow vehicles, and congestion. This database of incidents trains the AI to be more effective and efficient at recognising authentic events.

Citilog says it is the equivalent of sending your AI off to university for a degree in literal street smarts. The result is a dramatic reduction in false positive alerts caused by environmental factors such as shadows, snow, rain, and other weather conditions, improving accuracy by a factor of 10. The Maryland Transportation Authority is using ADL today to proactively respond to incidents in mere seconds. Meanwhile, the New York State Bridge Authority is in the process of upgrading its incident detection system with Citilog ADL to improve operational efficiency and deploy emergency responders even faster.

Armed with this automated accuracy, agencies employing Citilog’s ADL have the potential to revolutionise traffic safety and traffic management for their citizens.

Booth 621

For more information on companies in this article