MAT.TRAFFIC

www.mat-traffic.de

MAT.TRAFFIC creates and develops concepts, procedures and system architectures in the area of road traffic and data networks. For doing this, MAT.TRAFFIC can benefit from comprehensive mathematical, system analytic and software engineering expertise. The main activities of MAT.TRAFFIC comprise research, concept creation and software development, but also technical / system consulting as well as project management support. Thematic focus Thematic emphasis for the areas road traffic, traffic management and traffic telematics: - Data fusion: Plausibility, data correlation, data integrity, stochastic dependencies - Data Mining: Analysis of large data bases with respect to correlations and patterns - Macroscopic and microscopic local traffic states (e.g. urban intersections) - Dynamic route choice and traffic assignment in road networks - Congestion dynamic on motorways - Traffic state forecasts (short- and long-term) - Dynamic Green Waves, optimal parameter sets for network-wide traffic light control - Models for creation and assessment of traffic management strategies - Quality and impact analysis - Co-operative systems Thematic emphasis for the areas of data and communication systems: - Integration and configuration of communication interfaces (WiFi, 3G, IPv6, ...) - Specification and implementation of protocols - Routing procedures for packet-switching networks - Self-organising network management - Optimisation procedures for dynamic organisation of data networks

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MAT.TRAFFIC creates and develops concepts, procedures and system architectures in the area of road traffic and data networks. For doing this, MAT.TRAFFIC can benefit from comprehensive mathematical, system analytic and software engineering expertise. The main activities of MAT.TRAFFIC comprise research, concept creation and software development, but also technical / system consulting as well as project management support. Thematic focus Thematic emphasis for the areas road traffic, traffic management and traffic telematics: - Data fusion: Plausibility, data correlation, data integrity, stochastic dependencies - Data Mining: Analysis of large data bases with respect to correlations and patterns - Macroscopic and microscopic local traffic states (e.g. urban intersections) - Dynamic route choice and traffic assignment in road networks - Congestion dynamic on motorways - Traffic state forecasts (short- and long-term) - Dynamic Green Waves, optimal parameter sets for network-wide traffic light control - Models for creation and assessment of traffic management strategies - Quality and impact analysis - Co-operative systems Thematic emphasis for the areas of data and communication systems: - Integration and configuration of communication interfaces (WiFi, 3G, IPv6, ...) - Specification and implementation of protocols - Routing procedures for packet-switching networks - Self-organising network management - Optimisation procedures for dynamic organisation of data networks

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Country

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City (Headquarters)

Aachen

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Employees

1-10

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Founded

2008

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Estimated Revenue

$1 to $1,000,000

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  • Other

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  • Student Assistant

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