Automatic Incident Detection – Key Features

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

Reliable Stopped Vehicle Detection with Minimal False Alarms 

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

Powered by CT-ADL technology: 

  • High Detection Rate – Ensures you never miss a critical event. 
  • Low False Alarm Rate: Eliminate distractions and focus on real incidents. 
  • Adapts to Any Environment: Leveraging Deep Learning, CT-IM Analytics performs flawlessly across diverse environments, including tunnels, bridges, and open roads.
  • Automatic Vehicle Classification:  The system automatically identifies the type of stopped vehicle, providing valuable information for a faster and more targeted response. 

Tunnel detection, stopped vehicle in fluid traffic  

CT-IM Analytics goes beyond basic detection. It leverages video analytics and CT-ADL technology to distinguish between stop-and-go and trouble stops in congestion: The system analyzes stop duration, filtering out congested traffic flow from potential incidents

Stopped vehicle in congested traffic  

Wrong Way

Never Miss a Wrong-Way Driver 

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

Powered by CT-ADL technology: 

  • Real-time Tracking: Sophisticated algorithms analyze vehicle movement in seconds, triggering immediate alerts. 
  • Vehicle Classification: Identify the type of wrong-way driver for a more targeted response. 
  • Trajectory Display: Visualize the vehicle’s path on the on-screen display (OSD) for a clear understanding of the situation. 

Detection fo a wrong-way driver and provides an alarm within seconds

Vulnerable User

CT-IM Analytics enhances safety by detecting both pedestrians and vulnerable road users, including bicyclists, electric scooters, Segways, and hoverboards. By activating the “Vulnerable” option, the system expands its pedestrian detection capabilities to provide Traffic Managers with a broader, real-time view of road activity. 

The system provides operational visibility of pedestrian trajectories, detecting individuals on hard shoulders, emergency lanes, and traffic lanes when CT-ADL is activated. It continuously tracks movements, offering valuable insights for decision-making. 

With the “Vulnerable” option enabled, CT-IM Analytics monitors and tracks vulnerable users in real-time, providing proactive alerts to traffic operators and ensuring situational awareness across the network. Powered by CT-ADL technology, it minimizes false alarms while prioritizing critical events. 

By integrating pedestrian and vulnerable user detection into a unified system, CT-IM Analytics creates a safer, more inclusive traffic environment that addresses the growing diversity of road users. 

Pedestrian and Vulnerable User Detection: Comprehensive Safety for All Road Users

Pedestrian

CT-IM Analytics significantly boosts road safety by delivering precise and reliable pedestrian detection regardless of the pedestrian’s direction of movement. With CT-ADL technology activated, the system proactively identifies pedestrians in critical areas such as hard shoulders, emergency lanes, and traffic lanes. It visually displays the track of each detected pedestrian, empowering traffic managers with real-time, actionable insights, enhanced situational awareness, and informed decision-making to ensure pedestrian safety.

Early smoke detection in tunnels: peace of mind for operators

Smoke

CT-IM Analytics keeps a watchful eye inside tunnels, detecting smoke at the earliest stages.

Reduced Alarm Fatigue: CT-ADL eliminates false alarms and ensures operators only receive notifications for confirmed smoke events.

Faster Response Times: Act quickly detect to potential fire hazards, minimizing danger and potential damage.

Early smoke detection in tunnels: peace of mind for operators

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. This helps prevent potential accidents and ensures a safer driving experience for everyone.

Never miss lost cargo: keep roads clear 

Lane change

CT-IM Analytics with CT-ADL monitors dangerous driving behavior by collecting data on potentially risky lane changes.

  • Identify potentially dangerous areas in your infrastructure by collecting data on unsafe maneuvers (typical use case: crossing a solid line).
  • Vehicle Identification: Identify the type of vehicle involved (car, truck, etc.) for informed response.
  • Trajectory Display: Visualize the vehicle’s movement track for a clear understanding of the situation.