Solution Technologies

ANDATA’s solution for intelligent traffic control consists of several neatly combined technological components, which work together seamlessly:

Uniform, standardized traffic control modules
  • for standardization and extensive automation in functionality and procedures
  • as a basis for a modular control construction kit
  • to enable a hierarchical subsidiary control network
Hierarchical, subsidiary traffic control network architecture
  • for the natural fragmentation of the comprehensive control problem into easier, solvable subsidiary tasks
  • for the formation of decentralized distributed intelligence
  • for a significantly improved scalability
  • as a uniform control context for all control objects
Artificial Intelligence and Machine Learning
  • for excellent functionality and supreme performance
  • for a rapid and simple, where necessary, autonomous adaptation to new traffic situations, control actions, sensors, system components, etc.
  • for a uniform calibration and implementation process in real traffic operations
  • to ensure the general validity and scalability of the control objects
  • for effective and efficient development and calibration of control objects
  • for extensively increased automation in traffic control
Vehicle & infrastructure connectivity
  • for the automated exchange of intentions in cooperative driving
  • for vehicles as traffic sensors
  • for the exchange of environmental perception and extension to the vehicle sensorics (collective perception)
  • as fundament for virtual traffic control
  • as information source for improved driving decisions
Digital Twins of the traffic infrastructure
  • as data source and plattform for trustworthy information exchange
  • for the collocation and consolidation of distributed data and information
  • as CCAM Decision Support Plattform
Scenario-based development and Stochastic Simulation
  • for the representation of functional requirements based on examples (scenario based specification)
  • for the quantitative description of dependencies in the target criteria and of the requirement conflicts
  • to validate and safeguard the robustness of the control objects
Requirement-driven process model
  • for a compliant management of requirements
  • for a target-oriented, controlled iterative procedure
  • for the prevention of extensive trial-and-error scenarios
Assessment of effectiveness
  • to identify and quantify measures with the greatest effectiveness in traffic
  • for a goal-oriented and effective use of development expenditure