[PDF] Service And Energy Related Optimization Of Advanced Automatic Train Control eBook

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Page : 18 pages
File Size : 17,55 MB
Release : 1998
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ISBN :

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The Bay Area Rapid Transit (BART) system, in collaboration with Hughes Aircraft Company and Harmon Industries, is in the process of developing an Advanced Automatic Train Control (AATC) system to replace the current fixed-block automatic system. As in the current ATC system, the trains will be controlled by station computers at the wayside; however, spread-spectrum radios rather than track-circuits will be employed to determine train locations and reliably transfer control information, allowing for finer speed and acceleration control, as well as more precise train locating capabilities and moving-block control. The authors have developed a simulator of the train control and power consumption of the AATC system, and are now employing this tool to develop enhanced train control algorithms to supplement the safety-critical controller. These algorithms do not attempt to globally optimize the control system with respect to a cost function, but rather they modify the baseline vital control to smooth the train trajectories, and to reduce energy consumption and power infrastructure requirements, through coordination of multiple trains. Several control algorithms are under development, including (1) delay recovery, which smoothly and efficiently controls trains approaching and stopped behind a delayed train, (2) interference management, which controls closely-following trains to avoid oscillatory brake/acceleration cycles, and (3) low voltage avoidance, which limits power consumption by multiple trains in an area to prevent low voltage events. The authors discuss progress to date on development of these control algorithms, as well as their service- and energy-related benefits.

Author :
Publisher :
Page : 106 pages
File Size : 25,97 MB
Release : 1999
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A new generation of automatic train control systems is currently under development in the commuter-rail transit industry. These systems will utilize radio communication between wayside control computers and trains in order to provide high precision train control beyond the capability of today's automatic systems. The Bay Area Rapid Transit (BART) system is developing such a modern control system in collaboration with Harmon Industries. This system, called the Advanced Automatic Train Control (AATC) system, will allow for precision train locating and control, and will facilitate coordination of the trajectories of multiple trains. This system will be capable of running trains more closely together and decreasing the time a train requires to traverse the system, while simultaneously operating with a more modest traction power infrastructure, and providing a smoother, more comfortable ride to commuters. The authors have collaborated with BART to develop a simulator of the AATC system and the traction power system, and they have utilized this simulator as a testbed for the development of advanced train control techniques. Several train control algorithms, including one employing a neural network for train voltage prediction, have been developed and tested in the simulator. Smoother train trajectories, reduced power infrastructure requirements, and reduced energy consumption have been demonstrated. Improved service reliability is also expected to result.

Author : Shuai Su
Publisher : Springer Nature
Page : 240 pages
File Size : 28,38 MB
Release : 2023-07-03
Category : Technology & Engineering
ISBN : 3031346564

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This book is closely related to the energy conservation problem of rail transport systems, focusing on reducing the energy consumption of train operation. The system process of train operation is analyzed and the relationship between train operation and energy consumption is introduced. The fundamental theories, modelling and application of technologies for energy-efficient train driving are presented, discussing timely topics such as energy-efficient train control and timetabling, integrated timetabling and regenerative braking, and maximizing regenerated energy usage with energy storage systems. In addition, the modelling and application of a traction power simulation platform is introduced, to calculate the detailed energy flow over a railway network. The book is enriched with a set of practical examples to illustrate the performance of the proposed methods in improving energy efficiency of both urban and long-distance trains. Overall, the book provides a timely guide to professionals in the railway industry, and to researchers and graduate students in transport, electrical and control engineering.

Author : Bin Ning
Publisher : WIT Press
Page : 177 pages
File Size : 14,60 MB
Release : 2010
Category : Transportation
ISBN : 1845644948

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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.

Author : Wang Zhou
Publisher : Bentham Science Publishers
Page : 156 pages
File Size : 33,85 MB
Release : 2011
Category : Transportation
ISBN : 1608051382

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This book explains the theory and methods of system optimization design for railway intelligent transportation systems (RITS), which optimizes RITS total performance by decreasing the difficulty and cost of system development and increasing the system efficiency. Readers will understand key concepts of RITS and the latest research relevant to China and other countries where RITSs have been developed. The book is suitable for university scholars in the field of railway transportation.

Author : Philip G. Howlett
Publisher : Springer Science & Business Media
Page : 315 pages
File Size : 24,79 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1447130847

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Rail is potentially a very efficient form of transport, but must be convenient, reliable and cost-effective to compete with road and air transport. Optimal control can be used to find energy-efficient driving strategies for trains. This book describes the train control problem and shows how a solution was found at the University of South Australia. This research was used to develop the Metromiser system, which provides energy-efficient driving advice on suburban trains. Since then, this work has been modified to find practical driving strategies for long-haul trains. The authors describe the history of the problem, reviewing the basic mathematical analysis and relevant techniques of constrained optimisation. They outline the modelling and solution of the problem and finally explain how the fuel consumption can be minimised for a journey, showing the effect of speed limits and track gradients on the optimal driving strategy.

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Publisher :
Page : 12 pages
File Size : 10,21 MB
Release : 1998
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ISBN :

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The Bay Area Rapid Transit (BART) system, in collaboration with Hughes Aircraft Company and Harmon Industries, as in the process of developing an Advanced Automatic Train Control (AATC) system to replace the current fixed-block automatic system. In the long run, the AATC system is expected to not only allow for safe short headway operation, but also to facilitate coordinated train control and energy management. This new system will employ spread spectrum radios, installed onboard trains, at wayside locations, and at control stations, to determine train locations and reliably transfer control information. Sandia National Laboratories has worked cooperatively with BART to develop a simulator of the train control and the power consumption of the AATC system. The authors are now in the process of developing enhanced train control algorithms to supplement the safety critical controller in order to smooth out train trajectories through coordinated control of multiple trains, and to reduce energy consumption and power infrastructure requirements. The control algorithms so far considered include (1) reducing peak power consumption to avoid voltage sags, especially during an outage or while clearing a backup, (2) rapid and smooth recovery from a backup, (3) avoiding oscillations due to train interference, (4) limiting needle peaks in power demand at substations to some specified level, (5) coasting, and (6) coordinating train movement, e.g., starts/stops and hills.