VEHICLE CLASSIFICATION & TRAFFIC FLOW ANALYSIS

In the field of transportation and urban planning, Thien An develops vehicle classification and traffic flow analysis solutions that completely replace traditional survey methods reliant on manual labor and simulation algorithms prone to inaccuracies.

Automatic traffic analysis solution

The system uses AI-powered cameras with deep learning capabilities to detect and classify vehicles by type (motorcycles, passenger cars, trucks, container trucks, etc.) under real-world traffic conditions while in motion.

The recognition and analysis process is performed directly on the cameras (edge AI), combined with centralized data aggregation at the operations center to provide instant statistics and accurate real-time reporting.

Unlike the Vehicle Detection System (VDS), which primarily serves traffic management and real-time incident response on the road, the vehicle classification and traffic flow analysis solution focuses on systematic data collection to support:

  • Traffic Hotspot Analysis
  • Vehicle Growth Modeling & Forecasting
  • Proposal to upgrade and expand routes and intersections

The Vehicle Counting and Classification System can operate effectively day and night, even under reduced-visibility weather conditions such as heavy rain or fog.

Project completed

Supply and installation of traffic counting and vehicle classification camera systems at major urban gateways of Ho Chi Minh City, along with the VDS management software system at the operations center.

With high accuracy, flexible scalability, and seamless integration into existing ITS/TMS systems, this solution serves as a powerful tool for traffic authorities and project investors in:

  • Infrastructure planning
  • Optimizing traffic flow and enhancing the capacity of road infrastructure operations.
  • Insightful analysis of vehicle growth trends for smarter infrastructure investment.