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