CT-ADL: Revolutionizing Traffic Management with Deep Learning
Transform your traffic operations with Citilog’s advanced CT-ADL technology for smarter, safer roads.
What is CT-ADL?
CT-ADL, or Citilog Applied Deep Learning, is a proprietary technology developed by Citilog. It applies Artificial Intelligence (AI) and Deep Learning to video-based automatic incident detection, leveraging a neural network trained on real traffic events collected from over 60,000 cameras worldwide during Citilog’s 27 years of expertise. This fusion of Artificial Intelligence, deep learning and specialized traffic algorithms reduces false alarms, ensuring accurate detection and reliable traffic management.
Key Features of CT-ADL
High Detection Accuracy
- Reliably identifies incidents such as stopped vehicles, wrong-way drivers, or the presence of a pedestrian in a tunnel.
- Works seamlessly in diverse environments: tunnels, highways, bridges.
False Alarm Reduction
- Reduces false alarms by up to 1Ox compared to traditional
- Filters distractions like shadows, enabling operators to focus on genuine events.
Advanced Detection Capabilities
- Vehicle Classification: Cars, buses, trucks,
- Ready for new modes of mobility: Enhanced safety for vulnerable road users such pedestrians, cyclists or electric scooters.
- Smoke Detection in Tunnels: Early-stage detection for faster response times.
Long-Range Tracking and Spatial Precision
- Detects and tracks vehicles over extended
- Ensures lane-level positioning for precise reporting of road
Traffic Statistics Collection
- CT-ADL enables the collection of traffic data directly from AID cameras within their specific field of view.
- Provides valuable insights to optimize traffic management
CT-ADL identifies a drunk cyclist in a tunnel, ensuring safety for both the cyclist and drivers by supporting the detection of new mobility devices often found in prohibited areas.
Accurate Vehicle Lane Positioning
CT-ADL’s precise lane-level vehicle positioning minimizes false alarms and enables detailed event reporting for traffic operators.
Wrong-Way Driver Detection with Trajectory Visualization
CT-ADL detects a wrong-way driver and provides an alarm within seconds, along with the vehicle’s trajectory for a clear understanding of the incident.
Why Choose CT-ADL Technology?
Smarter Detection Harnesses deep learning for precise monitoring and adaptive traffic management.
Adaptability Performs reliably in varying conditions: low lighting, high traffic density, adverse weather.
Proven Performance Trusted by global traffic management leaders for large-scale deployments.
Constant Evolution Citilog’s R&D team frequently updates CT-ADL’s extensive dataset with new events and video clips, ensuring the system adapts to evolving traffic challenges.
No Onsite Training Required CT-ADL’s large dataset based on real events removes the need for onsite training, offering instant high performance.
Real-World Applications
Urban Tunnels
- Detect incidents like stopped vehicles or vulnerable users entering restricted zones.
- Monitor and respond to smoke or visibility loss in real-
Highways and Bridges
- Ensure smooth traffic flow by detecting slow vehicles and
- Provide insights into traffic patterns and lane
Dynamic Traffic Management
- Adapt to reversible lanes and changing conditions for seamless operation
Smoke Detection in a Tunnel
CT-ADL detects smoke in a tunnel using density mapping, a critical feature to ensure the safety of road users in real-world scenarios.
Wrong-Way Driver Detection on a Highway
CT-ADL promptly and accurately detects a wrong-way driver on a highway, demonstrating its effectiveness in addressing this highly dangerous event.