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This issue includes 25 papers that were presented at the First International Symposium of Advanced Train Control, held in Denver, Colorado, in June 1991. The principal purpose of this symposium was to bring together a broad cross section of railroad and supply company officials to demonstrate the unique application of advanced train control to all aspects of railroading, to share ideas and technology, and to enumerate the benefits of these systems. Advanced train control means the use of microprocessors and digital data communications to provide new command, control, communication, and information tools to improve railroad operations. The program structure was designed to present the business case for advanced train control, followed by technical sessions that describe the design and implementation of these systems. Papers from the technical sessions are published in this issue, along with papers from a session on advanced train control in Europe.
Advanced train control systems (ATCS) play an important role in improving the efficiency and safety of train operation, acting as their 'brains and nerves'. This volume gathers selected papers from Comprail, which is the most successful series of conferences in the areas of railways and other transit systems.
International bibliography of selected works dealing with advanced train control systems (ACTS) published from 1978 to September 1988, with emphasis on the project of the Association of American Railroads. Categories covered include development documents, communication and signaling systems and equipment, on-board (train) equipment, related R & D, associated tests and related pilot projects, reviews of the ATCS project and related publications, and other advanced train control systems and equipment. An index of personal and corporate authors is included.
A compendium of bibliographic references dealing with the application of 3smart car2 and fleet management technologies to bus systems.
This publication brings together the latest research findings in the key area of chemical process control; including dynamic modelling and simulation - modelling and model validation for application in linear and nonlinear model-based control: nonlinear model-based predictive control and optimization - to facilitate constrained real-time optimization of chemical processes; statistical control techniques - major developments in the statistical interpretation of measured data to guide future research; knowledge-based v model-based control - the integration of theoretical aspects of control and optimization theory with more recent developments in artificial intelligence and computer science.