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Smart Traffic Light

 Intelligent Transportation System

Project items

  • Equip signal cabinets with both connectivity and central operation.
  • Traffic simulation and emulation create digital traffic twins
  • Transport network coordination reduces traffic congestion using network control algorithms

Traffic simulation and emulation

Traffic Simulation and Emulation Project belongs to the category of construction and installation of traffic monitoring system with requirements:

  • Using monitoring technology solutions are sensors that can monitor multiple vehicles at the same time, transmitting data quickly with high accuracy.
  • Using machine learning technology, artificial intelligence combined with digital twin models in simulating and emulating data
  • Proposing traffic coordination scenarios to reduce congestion

RADAR monitoring technology solutions

Using specialized Radar technology for traffic monitoring:

-High resolution, allowing to measure all means of transport from a distance of > 140m

-Can operate in all times and weather conditions:

-Optimized in terms of data and using 4G wireless network for transmission

Philippines Manual counting

Ho Chi Minh City Automatic monitoring

Project implementation in the trunk road area

  • The solution to equip sensors is on existing traffic lights, lighting or cameras.

Sensors mounted on traffic lights

Sensor mounted on Longmen rack

Sensor mounted on lighting pole

Device management system

Device management system allows administrators to manage and control devices on the system: intuitively and continuously

Device management system and data collected from sensors

Point-based sensor count data (MCT 1.1)

Real-time correlation chart of volume and speed across nodes

Traffic simulation and emulation

Digital Twin Solution

Real-world data is stored in a “data lake” system and continuously simulated through a vehicle flow model with algorithms from machine learning and artificial intelligence.

Collected data is simulated on the Center’s software system.