Measuring Section-Related Traffic Data by Correlation Methods—A New Approach to Traffic Monitoring and Control

by Elmar Pfannerstill, Verkehrs- und informationstechnik, GmbH, Aachen, Germany,



Document Type: Proceeding Paper

Part of: Applications of Advanced Technologies in Transportation Engineering

Abstract: Traffic monitoring and control systems require reliable realtime data on traffic flow for an efficient performance. A new 'class' of data, the so-called section-related data such as journey speed and traffic density can be obtained automatically by application of pattern recognition principles and correlation methods to traffic engineering. The so-called MAVE-system incorporates this approach: it analyses traffic condition on the basis of section-related and local data, delivers an 'electronic road map' for authorities and drivers and derives strategies for traffic control.

Subject Headings: Traffic surveys | Correlation | Traffic analysis | Control systems | System reliability | Traffic flow | Traffic volume

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