Automatic train operation in the CBTC system

2020 ◽  
Vol 131 ◽  
pp. 99-118
Author(s):  
Aleksandra Modrzejewska
Keyword(s):  
Control Systems ◽  
Traffic Management ◽  
Rail Transport ◽  
Train Control ◽  
Railway Traffic ◽  
Train Operation ◽  
Alternative Means ◽  
Fully Automatic ◽  
Transport Problems ◽  
Automatic Train Operation

Rail transport adapts to the requirements of the modern agglomerations and provides solutions that ensure greater speed and capacity, while being environmentally friendly. Alternative means of rail transport as well as train control systems are proposed. The basis of innovative, effective, attractive and, above all, safe railway is a traffic automation, which can be implemented to a varying range and degree. Automation of systems of the train control and railway traffic management is an area that is constantly being scientifically researched and developed. The most technologically advanced control systems, in which the human factor is eliminated, are CBTC systems. This article presents the characteristics and components of one of the CBTC class family solutions used in the world, i.e. Bombardier’s product - CITYFLO 650. On the example of the CITYFLO 650 solution, the analysis of the fully automatic train operation was performed. Each of the stages of the fully automatic train operation was included in this paper. The conducted analysis confirms the legitimacy of using the CBTC technology on very demanding city lines. Bidirectional train-to-wayside data communications and determination of train location to a high degree of precision make it that CBTC systems fulfill the criteria set by large, fast-growing cities and a growing population. Poland, as a country currently looking for solutions that would reduce the transport problems of large cities, is considering such innovative proposals for rail traffic.

Automatic train operation – requirements analysis

2018 ◽  
Vol 121 ◽  
pp. 161-170
Author(s):  
Andrzej Kochan ◽  
Emilia Koper ◽  
Paweł Wontorski
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Requirements Analysis ◽  
Human Intervention ◽  
Railway Traffic ◽  
Train Operation ◽  
Train Driver ◽  
Automatic Train Operation

This article discusses the analysis of the process of automatic train operation. The scope of the analyzed process is not narrowed to the train itself. It covers the tasks carried out at the various operational levels of the system responsible for operating the railway traffic. The authors present the tasks in the field of railway traffic management and railway traffic control and train operation, carried respectively by the dispatcher, signalman and the train driver, which can be performed automatically, i.e. without human intervention.

Vehicle Test for Verifying Energy-Saving Train Control Based on Automatic Train Operation System

2017 ◽  
Vol 137 (12) ◽  
pp. 924-933 ◽  
Author(s):  
Shoichiro Watanabe ◽  
Yasuhiro Sato ◽  
Takafumi Koseki ◽  
Takeshi Mizuma ◽  
Ryuji Tanaka ◽  
...  
Keyword(s):  
Energy Saving ◽  
Operation System ◽  
Train Control ◽  
Train Operation ◽  
Vehicle Test ◽  
Automatic Train Operation

scholarly journals Design and Simulation of a Decentralized Railway Traffic Control System

2016 ◽  
Vol 6 (2) ◽  
pp. 945-951 ◽  
Author(s):  
T. Kara ◽  
M. Cengiz Savas
Keyword(s):  
Control System ◽  
Control Systems ◽  
Traffic Control ◽  
Traffic Management ◽  
General Structure ◽  
Railway Transportation ◽  
Railway Line ◽  
Railway Traffic ◽  
Traffic Control System ◽  
Traffic Management System

With the increasing use of railway transportation, various methods have been developed for the control and management of train traffic. Train traffic control systems that are currently in use are overwhelmingly centralized systems. In this study, the development of the general structure of railway traffic control techniques is examined, centralized and decentralized control systems are investigated, and an alternative train traffic control system, the Decentralized Train Traffic Management System (DTMS), is suggested. Simulation results on the possible application of the proposed method to a railway line in South-East Turkey are employed to evaluate the performance of the developed system.

Increase of Efficiency in Wireless Train Control Systems (ETCS Level 2) by the Use of Actual Packet-Oriented Transmission Concepts

2008 ◽  
Author(s):  
Klaus Jobmann ◽  
Simon F. Ruesche ◽  
Jan Steuer
Keyword(s):  
Control Systems ◽  
Capital Investment ◽  
Rail Transport ◽  
The European Union ◽  
Radio System ◽  
Train Control ◽  
Essential Components ◽  
Expansion Stage ◽  
Level 2 ◽  
Transport Management

The European Rail Transport Management System (ERTMS) was introduced by the European Union (EU) to harmonize the nearly 18 different national train control systems which are currently in use, to accelerate the interoperability of the passenger- and freight-transport and, finally, to increase the utilization of tracks by dynamic train control. The essential components of ERTMS are the train-specific, cellular, professional mobile radio system GSM-R (GSM-Railway) and the so-called European Train Control System (ETCS) which provides, by its second expansion stage (ETCS Level 2), the control- and signalling-information between the train and the related control location via GSM-R in a connection-oriented and wireless way. This wireless and connection-oriented approach will be the bottleneck of the system, which considerably limits the possible number of voice- and data-connections in each cell at the same time and will cause a deadlock of the system, if the number of users will rapidly increase (e.g. accidents, freight depots, lines with a high and dynamic volume of traffic). Within this paper the first part of a packet-switched approach is presented to counteract this expected deadlock by taking into account that the GSM-R infrastructure, which is often already installed by the national railroad operators, also should be used to save the high capital investment of those companies.

scholarly journals RAILTOPOMODEL AND RAILML 3 IN OVERALL CONTEXT

2017 ◽  
Vol 11 ◽  
pp. 16 ◽  
Author(s):  
Adam Hlubuček
Keyword(s):  
Current Form ◽  
Train Control ◽  
Exchange Format ◽  
Train Operation ◽  
Automatic Train Operation ◽  
Insight Into

This paper aims to provide a brief insight into the UIC RailTopomodel and railML initiative. Concerning the railML exchange format, mainly the current form of forthcoming third edition, involving especially the infrastructure schema, based on the RailTopoModel modelling principles, is taken into account. When rewarding, the comparison between railML 3 and the previous railML 2.3 version is given. At the end, the author focuses on selected issues of possible applicability of these tools for the needs of such systems as the automatic train control, automatic train operation, prediction of train etc. If essential, some extensions of the structures are proposed.

A flexible and robust train operation model based on expert knowledge and online adjustment

2017 ◽  
Vol 15 (03) ◽  
pp. 1750023 ◽  
Author(s):  
Chun-Yang Zhang ◽  
Dewang Chen ◽  
Jiateng Yin ◽  
Long Chen
Keyword(s):  
Energy Consumption ◽  
Expert Knowledge ◽  
Operation Mode ◽  
Velocity Curve ◽  
Target Velocity ◽  
Optimization Approach ◽  
Operation Model ◽  
Train Control ◽  
Train Operation ◽  
Automatic Train Operation

Most existing automatic train operation (ATO) models are based on different train control algorithms and aim to closely track the target velocity curve optimized offline. This kind of model easily leads to some problems, such as frequent changes of the control outputs, inflexibility of real-time adjustments, reduced riding comfort and increased energy consumption. A new data-driven train operation (DTO) model is proposed in this paper to conduct the train control by employing expert knowledge learned from experienced drivers, online optimization approach based on gradient descent, and a heuristic parking method. Rather than directly to model the target velocity curve, the DTO model alternatively uses the online and offline operation data to infer the basic control output according to the domain expert knowledge. The online adjustment is performed over the basic output to achieve stability. The proposed train operation model is evaluated in a simulation platform using the field data collected in YiZhuang Line of Beijing Subway. Compared with the curve tracking approaches, the proposed DTO model achieves significant improvements in energy consumption and riding comfort. Furthermore, the DTO model has more advantages including the flexibility of the timetable adjustments and the less operation mode conversions, that are beneficial to the service life of train operation systems. The DTO model also shows velocity trajectories and operation mode conversions similar to the one of experienced drivers, while achieving less energy consumption and smaller parking error. The robustness of the proposed algorithm is verified through numerical simulations with different system parameters, complicated velocity restrictions, diverse running times and steep gradients.

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