Community Research and Development Information Service - CORDIS

Abstract

The project addresses the basic topics of DRIVE task T332, with the major objectives of the study being the design and development of artificial intelligence (AI) methods to be used for real-time traffic control and surveillance operations. Research is aimed at developing AI and knowledge-based software modules which can be integrated into current urban traffic control systems to enhance data sets collected in real time for decision making; analyse collected data for recognition of critical traffic patterns and situations; predict qualitatively near-future traffic situations for advance recognition of network changes; and improve the management of available control strategies using an enlarged base of information.

Additional information

Authors: AUTOMA, ;SENTER FOR INDUSTRIFORSKNING, ;HEUSCH-BOESEFELDT, ;IASI-CNR, ;UNIVERSITÄT KARLSRUHE FZI,
Bibliographic Reference: Report: V1055/Fin EN (1992) 176 pp., ECU 13
Availability: Available from CEC, c/o Ecotec Research and Consulting Ltd., 28-34 Albert Street, Birmingham B4 7UD (GB)
Record Number: 199330458 / Last updated on: 1995-10-17
Category: PUBLICATION
Original language: en
Available languages: en