Incident Detection on
Highways and Expressways

Citilog provides video-based automatic incident detection solutions for Highways and Expressways. With over 25 years of experience and 1600 implementations worldwide, our expertise and technology, is second to none.

The increase in traffic volume on Highways and urban Expressways, combined with stricter requirements for accident prevention and congestion detection and management, is driving the need for a new generation of highway safety and incident management systems. Citilog’s Incident Management solutions, built for tomorrows challenges, are available already today.

Immediate response

With a Citilog Incident detection system implemented on Highways and Expressways, Traffic Management Centres get automatic incident warnings and instant camera overview. If a problem is detected, traffic operators can take measures to avoid secondary accidents within seconds.

Within a moment, Citilog’s detection solutions can identify almost any potentially dangerous situation. By detecting problems early on, not only is safety improved, but traffic slowdowns can be greatly reduced. Also, affected road users can get information and consider taking alternative routes.

Seamless Detection

Citilog’s Automatic Incident Detection (AID) solution provides accurate, real-time incident detection for all road conditions and lane types. Using advanced video analytics, the system quickly identifies incidents, enabling prompt alerts and rapid response to enhance safety and traffic efficiency.

Stopped Vehicle

CT-IM Analytics excels at detecting stopped vehicles on the roadway, triggering an alarm after exceeding a user-defined time threshold.

Wrong Way

CT-IM Analytics acts as a vigilant watchdog, instantly detecting vehicles entering the road in the wrong direction.

Vulnerable User

CT-IM Analytics enhances safety by detecting both pedestrians and vulnerable road users, including bicyclists, electric scooters, Segways, and hoverboards.

Debris

CT-IM Analytics acts as a vigilant watchdog, detecting even small objects that fall from vehicles and come to a halt on the roadway.

Deep Learning

The unique combination of edge detection and Deep Learning capabilities, makes the Citilog solution a cost effective and trustworthy answer to the challenges operating Highways and Expressways.

The uniqueness of Citilog’s Applied Deep learning is the ability to run a specifically developed neural network targeting at eliminating false positive detections.

Our consequences

Tunnel incidents can have devastating effects on people and infrastructure. The consequences of incidents or fire in tunnels can in the worst cases result in severe fatalities, material damage and disruption of important infrastructure lines. But also, day-to-day delays and traffic jams generate huge costs for public and private organisations in a longer perspective