RAILTOPOMODEL AND RAILML 3 IN OVERALL CONTEXT

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.

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

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.137.924 ◽

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 ◽

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

International Journal of Wavelets Multiresolution and Information Processing ◽

10.1142/s0219691317500230 ◽

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 ◽

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.

Automatic train operation in the CBTC system

WUT Journal of Transportation Engineering ◽

10.5604/01.3001.0014.9004 ◽

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 ◽

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.

Mutation Model-Based Test Case Generation of Chinese Train Control System with Automatic Train Operation Function

2018 International Conference on Intelligent Rail Transportation (ICIRT) ◽

10.1109/icirt.2018.8641582 ◽

2018 ◽

Author(s):

Zhixuan Zhang ◽

Kaicheng Li ◽

Lei Yuan ◽

Guanhua Yu

Keyword(s):

Control System ◽

Test Case Generation ◽

Test Case ◽

Train Control ◽

Model Based ◽

Train Control System ◽

Mutation Model ◽

Train Operation ◽

Model-based development of an automatic train operation component for communication based train control

17th International IEEE Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc.2014.6957821 ◽

2014 ◽

Author(s):

Mariano Di Claudio ◽

Alessandro Fantechi ◽

Giacomo Martelli ◽

Simone Menabeni ◽

Paolo Nesi

Keyword(s):

Train Control ◽

Model Based ◽

Train Operation ◽

Post-Incident Safety Analysis of an Automatic Train Protection System

Safety Engineering and Risk Analysis ◽

10.1115/imece2002-32448 ◽

2002 ◽

Author(s):

Peter T. Katsumata

Keyword(s):

Fault Tree Analysis ◽

Safety Analysis ◽

Rail Transit ◽

Transit Systems ◽

Automatic Operation ◽

Train Control ◽

System A ◽

Train Operation ◽

Automatic Train Operation ◽

Fail Safe

Rail is used as a form of transportation by millions of people each day. Many of these rail transit systems utilize automatic operation. Automatic operation of rail transit vehicles is provided by an Automatic Train Control (ATC) system, which is typically partitioned into three subsystems: Automatic Train Protection (ATP), Automatic Train Operation (ATO), and Automatic Train Supervision (ATS). This paper discusses the results of a post-incident safety analysis performed on an ATP system. A Fault Tree Analysis (FTA) was performed on a vehicle ATP subsystem following several incidents involving a compromise in system safety. The results of the FTA showed that the vehicle ATP subsystem did not meet the “fail safe” design criteria. This paper uses the results of the FTA to identify possible safety improvements.