Citilog AID sees through storms to detect incidents

The sun may be shining in Phoenix but when skies turn stormy, highways, bridges and tunnels become particularly treacherous.
April 25, 2024
Bill Weber of Citilog
Bill Weber of Citilog

Across the US up to 21% of road crashes are weather related, underscoring the challenges faced by traffic operators and drivers alike. Citilog’s Automatic Incident Detection (AID) helps tackles these challenges.

The AI-powered system uses deep learning algorithms trained on a massive dataset of real-world incidents which, with Citilog AID, include those in adverse weather conditions – a feature the company claims distinguishes its system from others.  Using deep learning, the AID algorithm is trained to recognise weather, reducing false positives while allowing the system to quickly and accurately detect real incidents (crashes and road hazards) as they happen, even when visibility is impaired.

Citilog AID provides traffic operators with real-time information about incidents through alerts and visual displays. This helps them quickly understand the severity of the situation and make informed decisions about deploying resources and managing traffic flow.

Accurate and timely incident alerts reduce the workload on operators and enable them to focus on the problems that do require attention, ensuring effective utilisation of resources. Most importantly, early detection of incidents translates to faster response times for emergency services, reducing secondary accidents and potentially saving lives.

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