Intersection and Traffic Management

AI-driven intersection and traffic management can significantly improve traffic flow, reduce congestion, and enhance road safety by integrating various technologies. Here's how each of the Metrici tools you work together in a comprehensive system::

License Plate Recognition (LPR)

Metrici LPR technology reads the license plates of vehicles approaching or crossing intersections

Use Case:

Track and manage vehicles that violate traffic rules (like red-light running or speeding- Observer Radar integration).

Automate tolling or fines for traffic rule violations.

Monitor the flow of traffic based on vehicle types (e.g. trucks, cars, buses- up to 9 classes) for prioritization in real-time traffic management.

Generate real-time reports or statistical data for authorities on traffic patterns and law enforcement.

Command traffic lights

Car Recognition (Vehicle Classification and Make)

Classify vehicles into different types such as cars, trucks, motorcycles, buses, tram, semi-truck, SUV, utility for a total of 9 classes. Identify maker for each one - over 60 producers on the list

Use Case:

Prioritize traffic at intersections based on vehicle type. For instance, buses or trams could be given priority for green lights.

Manage congestion by directing heavy vehicles to alternate routes during peak hours.

Collect data on the types of vehicles using specific intersections, helping urban planners make infrastructure improvements.

Line Counter (Virtual Line Cross Detection)

Detect and count the number of vehicles (or pedestrians) that cross a virtual line at an intersection

Use Case:

Measure traffic density in real-time by counting how many vehicles cross a virtual line over a given time frame.

Trigger signal changes based on traffic load (e.g., extend green light duration during high traffic flow).

Integrate with pedestrian crossings, counting the number of people waiting at the light to prioritize their crossing.

Area Counter

Count the number of vehicles or pedestrians within a designated area, such as waiting at an intersection or a stoplight

Use Case:

Monitor traffic queues at intersections to dynamically adjust signal timings.

Detect traffic jams early and trigger rerouting algorithms or adjust traffic light phases to reduce congestion.

Count pedestrians waiting in crosswalk areas to ensure safe crossing times.

People Recognition

AI-based computer vision can detect people for applications like pedestrian detection

Use Case:

Increase pedestrian safety by detecting people in crosswalks or jaywalking near intersections. Emit alerts when necessary

Automatically adjust pedestrian crossing times depending on the volume of people waiting.

Ensure compliance with pedestrian traffic rules and improve urban traffic safety planning by gathering data on pedestrian movement.

Red Light Runner Detection

Metrici detects whether the traffic light is red usually using cameras but also with sensors

Use Case:

Use AI to monitor traffic lights and detect if vehicles are stopping correctly at red lights.

Integrate with car recognition and LPR to record any vehicles that violate red light rules.

Automatically capture the license plates of vehicles that run red lights using LPR and send real-time violation data to authorities.

Issue instant fines or tickets via automated systems.

Track red-light violations for traffic law enforcement and safety analytics.

System Architecture

Data Collection

Cameras and sensors positioned at intersections collect data on traffic lights, vehicle movement, and pedestrian crossings.

LPR cameras capture license plates for real-time vehicle identification.

Data Processing (AI/ML Algorithms):

AI algorithms process video feeds for vehicle recognition, red-light detection, and pedestrian movement.

Machine learning models handle predictive analytics, optimizing traffic flow by understanding historical data and real-time conditions.

Real-Time Traffic Management:

Line and area counters monitor traffic flow and adjust signals dynamically based on current congestion levels.

AI prioritizes emergency vehicles, buses, or trucks to minimize delays and improve throughput.

Real-time feedback loops between AI systems and traffic lights ensure that lights change according to road conditions, traffic density, and pedestrian activity.

Violation Detection & Enforcement:

Red-light detection systems catch violators, and LPR cameras issue citations automatically.

AI detects red-light runners and reports the incidents immediately for law enforcement or fines.

Integration with smart city systems can send notifications directly to violators via mobile applications or email.

Advanced Use Cases

Smart Routing:

Traffic management systems can suggest alternate routes based on real-time data to reduce congestion at intersections..

Data Analytics & Report:

Collected data on traffic volume, violations, and vehicle classification can be used by city planners to improve infrastructure and reduce traffic bottlenecks.

Pedestrian Safety:

Systems can extend green light times for pedestrians or trigger flashing signals when jaywalking is detected.

Intersection and Traffic Management

License Plate Recognition (LPR)

Car Recognition (Vehicle Classification and Make)

Line Counter (Virtual Line Cross Detection)

Area Counter

People Recognition

Red Light Runner Detection

System Architecture

Advanced Use Cases

about metrici

recent post

Metrici goes to CES 2025

Metrici at Romanian Security Fair

Meet Metrici at KNX Expo

Metrici, bear & wildlife detection

Metrici 3.8 upgrade

Quick links

Contact Info

address

phone

Email

website