Advanced Adaptive Urban Traffic Management System

• Urban areas worldwide face major challenges in traffic management: increasing traffic loads, frequent congestion, inefficient infrastructure use, and limited ability to respond to dynamic changes in traffic flow. Traditional traffic management systems often require manual configuration, cannot flexibly adapt to real-time conditions, and do not provide sufficient support for prioritizing public transport or emergency vehicles.

  Specific client issues included:
  

• Lack of adaptability of existing traffic management systems.
  
• Time-consuming manual configuration of scenarios for individual intersections.
  
• Low priority for public transport and emergency services.
  
• Missing traffic demand prediction and insufficient use of data.
  
• Increased emissions and time losses due to frequent vehicle stops.

An intelligent adaptive traffic management system, Yutraffic FUSION, was developed and deployed. It leverages AI, a digital twin of the traffic network, and advanced data analytics. The solution automatically optimizes traffic light control based on current traffic conditions, prioritizes public transport, emergency services, cyclists, and pedestrians, and creates green waves without the need for complex programming. The system is flexible, user-friendly, and scalable. The result is smoother traffic flow, reduced emissions, time savings, and more efficient urban mobility management.

• Urban traffic authorities and infrastructure operators
  
• Traffic dispatchers and control center operators
  
• Road technical management teams
  
• Strategic mobility planners and urbanists
  
• Traffic police
  
• Traffic engineers

• Preparation and configuration: 2–4 months (including data collection and parameter setup)
  
• Pilot deployment: 1–2 months of real-world testing
  
• Full deployment: depending on project scope, usually 6–12 months
  
• Further scaling: gradual, based on city or regional needs

Head of functional / operational unit

Joint implementation with the client

Internal team (service)

Traffic engineer / dispatcher – knowledge provided during training and from manuals

Delivered as a traffic management system module

• Improved traffic flow and comfort for all road users
  
• Enhanced safety through emergency vehicle prioritization and fewer stops
  
• Easier traffic plan management without programming requirements
  
• Flexible response to incidents and daily traffic variations
  
• Support for sustainable urban mobility

  However, results depend heavily on the quality of intersection management before deployment.

• Travel times reduced by up to 15–20%
  
• Vehicle stops in the area reduced by up to 17%
  
• Measurable emission reductions in controlled areas
  
• Time required for traffic plan configuration reduced by dozens of percent
  Results depend heavily on intersection management quality before deployment.

• High-quality data foundation from detectors and traffic models
  
• Team collaboration between technical team, city, and operators
  
• Modular architecture enabling scaling and adaptation to different cities
  
• Flexible configuration without the need for programming

• Integration with existing infrastructure and various detection types
  
• Ensuring data compatibility between central systems and local controllers
  
• Validation of the traffic model in real-world conditions

• Ensure high-quality input data
  
• Involve key users from the beginning of the project
  
• Start with a pilot deployment in a smaller area
  
• Use the system’s flexibility for gradual scaling and adaptation to local conditions