Smart Traffic Management Solution

Smart Traffic Management Solution

AI-Powered Solutions for Smoother City Traffic

Intelligent Transportation Systems (ITS) integrate information technology, communications, and traffic engineering to transform roads, vehicles, and infrastructure into a data-driven, intelligent network. By leveraging sensors, AI-based video analytics, and real-time data processing, ITS enables traffic authorities to monitor conditions, optimize signal control, enhance road safety, and respond to incidents more effectively. As a foundation of smart cities, ITS supports safer, more efficient, and more predictable transportation across urban roads, highways, public transit, and smart parking environments.

Solution Advantages

Smart Traffic Management Solution

  • AI Traffic Insights 

    Building on advanced AI, Ability Intelligent’s system detects vehicles, people, and incidents, delivering real-time intersection monitoring and analytics.

  • Comprehensive Traffic Data

    With this foundation, the system supports license plate recognition, congestion detection, and vehicle flow analysis to provide complete traffic monitoring.

  • Instant Traffic Alerts 

    As a result, the platform can automatically detect traffic congestion, accidents, or anomalies and report them instantly to management centers via configurable communication protocols, complete with visualizations on digital maps.

  • Flexible Setup for Any Situation 

    To deliver these capabilities anywhere, the system uses a simple client/server architecture to manage many locations—such as highways, intersections, and city roads—and can detect various events and help organize responses.

  • Easy Data & Platform Connections 

    Completing the suite, the system provides historical event playback and traffic data queries, supporting customized configuration and third-party platform integration to meet diverse transportation management needs.

Solution Diagram

Centralized Architecture

Field Side

Cameras capture video and send it directly to the data center.

( NETWORK )

Data Center Side

The central server handles AI tasks such as traffic, event, and plate analysis, while the video server manages storage, playback, and retrieval.

( API NETWORK )
Traffic Control Center
Cloud

Distributed / Edge Architecture

Field Side

Using Cameras, RFID, and Controllers to capture imagery and perform real-time plate recognition, traffic analysis, and congestion detection on-site.

( NETWORK )

Data Center Side

The data server consolidates site data, and the video broadcasting server manages all recordings.

( API  NETWORK )
Traffic Control Center
Cloud

 

Application Fields

Traffic Flow Monitoring

Analyzes live video feeds to detect and track vehicle count, speed, and direction, providing valuable insights into road congestion and traffic flow patterns for transportation authorities.

Violation Detection

Uses AI-based image recognition to identify traffic violations such as illegal stops, lane changes, and red-light running, supporting enforcement agencies with automated monitoring and evidence collection.

Intersection Safety Monitoring

Recognizes vehicles and pedestrians at intersections to ensure signal timing accuracy and detect dangerous or abnormal behaviors, enhancing overall intersection safety.

Regional Road Surveillance

Analyzes vehicle trajectories and flow data to assist urban planners and engineers in road network design, capacity evaluation, signal timing optimization, and traffic simulation studies.