Development and Evaluation Procedure of the Train-Centric Communication-Based System

Railway transport is reaching an important development stage worldwide. While different kinds of technologies have been applied to the train control system, the development and evaluation procedure remains a challenge. This paper aims to introduce main issues associated with the train control system's challenges, development and implementation, and evaluation methodology. A universal procedure is proposed to assist the development and evaluation of the train-centric communication-based system. After introducing the state-of-the-art and challenges, the train-centric communication control system is discussed. The possibly solutions associated with the train-centric communication system are illustrated in the system implementation process. Afterwards, Petri nets method is introduced to assist the system development. To evaluate the system, various evaluation methodologies are discussed, and a case study is given to do the illustration. It is hoped that this paper can help the researchers to analyze the current state, identify future goals, and refine the architectures and technologies for smart rail transportation.

[1]  D. Klein Evaluation methodology. , 1977, The International journal of the addictions.

[2]  Eckehard Schnieder,et al.  Modelling Functionality of Train Control SystemsUsing Petri Nets , 2013 .

[3]  M. Berbineau,et al.  Simulation framework for performance evaluation of broadband communication architectures for next generation railway communication services , 2009, 2009 9th International Conference on Intelligent Transport Systems Telecommunications, (ITST).

[4]  José Manuel Riera,et al.  A survey on future railway radio communications services: challenges and opportunities , 2015, IEEE Communications Magazine.

[5]  Eckehard Schnieder,et al.  BASYSNET - An Integrated Approach for Automated Control System Development , 2003, Petri Net Technology for Communication-Based Systems.

[6]  Bo Ai,et al.  Complete Propagation Model in Tunnels , 2013, IEEE Antennas and Wireless Propagation Letters.

[7]  Cristina Rico-Garcia,et al.  A Reliable Surveillance Strategy for Autonomous Rail Collision Avoidance Systems , 2008 .

[8]  Nastaran Dadashi,et al.  Evaluating the impact of rail research: Principles to maximise innovation uptake , 2016 .

[9]  Indika Perera,et al.  Model based software design: Tool support for scripting in immersive environments , 2013, 2013 IEEE 8th International Conference on Industrial and Information Systems.

[10]  Bo Ai,et al.  Measurement and Analysis of Extra Propagation Loss of Tunnel Curve , 2016, IEEE Transactions on Vehicular Technology.

[11]  Javier Goikoetxea,et al.  Roadmap Towards the Wireless Virtual Coupling of Trains , 2016, Nets4Cars/Nets4Trains/Nets4Aircraft.

[12]  Xiang Cheng,et al.  Challenges Toward Wireless Communications for High-Speed Railway , 2014, IEEE Transactions on Intelligent Transportation Systems.

[13]  Björn Döring,et al.  System requirements specification , 2015 .

[14]  Tuo Shen,et al.  Train-Centric Communication-Based Close Proximity Driving Train Movement Authority System , 2018, IEEE Intelligent Transportation Systems Magazine.

[15]  Francesco Flammini Railway Safety, Reliability, and Security: Technologies and Systems Engineering , 2012 .

[16]  Sven Semmelrodt,et al.  Investigation of different fading forecast schemes for flat fading radio channels , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[17]  Eckehard Schnieder,et al.  Modeling of railway system maintenance and availability by means of colored Petri nets , 2018 .

[18]  Fedja Netjasov,et al.  Development, validation and application of stochastically and dynamically coloured Petri net model of ACAS operations for safety assessment purposes , 2013 .

[19]  Stephan Sand,et al.  A Survey of Channel Measurements and Models for Current and Future Railway Communication Systems , 2016, Mob. Inf. Syst..

[20]  Julie Beugin,et al.  A Survey of GNSS-Based Research and Developments for the European Railway Signaling , 2017, IEEE Transactions on Intelligent Transportation Systems.

[21]  Xiang Cheng,et al.  D2D for Intelligent Transportation Systems: A Feasibility Study , 2015, IEEE Transactions on Intelligent Transportation Systems.

[22]  Günter Hommel,et al.  A train control system case study in model-based real time system design , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[23]  E. Schnieder,et al.  TECHNICAL ISSUES IN MODELLING THE EUROPEAN TRAIN CONTROL SYSTEM (ETCS) USING COLOURED PETRI NETS AND THE DESIGN/CPN TOOLS , 1998 .

[24]  Smita Sadhu,et al.  Train localization and parting detection using data fusion , 2011 .

[25]  Yide Wang,et al.  Joint DOD-DOA estimation using combined ESPRIT-MUSIC approach in MIMO radar , 2010 .

[26]  Peter Palensky,et al.  Common approach to functional safety and system security in building automation and control systems , 2007, 2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007).

[27]  Lars Michael Kristensen,et al.  Coloured Petri Nets - Modelling and Validation of Concurrent Systems , 2009 .

[28]  Eckehard Schnieder,et al.  Validation, verification and evaluation of a Train to Train Distance Measurement System by means of Colored Petri Nets , 2017, Reliab. Eng. Syst. Saf..

[29]  Tao Tang,et al.  Measurements and Analysis of Large-Scale Fading Characteristics in Curved Subway Tunnels at 920 MHz, 2400 MHz, and 5705 MHz , 2015, IEEE Transactions on Intelligent Transportation Systems.

[30]  Katrin Lüddecke,et al.  Evaluating multiple GNSS data in a multi-hypothesis based map-matching algorithm for train positioning , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

[31]  Baigen Cai,et al.  Automatic Train Control System Development and Simulation for High-Speed Railways , 2010, IEEE Circuits and Systems Magazine.

[32]  Eckehard Schnieder,et al.  Development and Validation of a Distance Measurement System in Metro Lines , 2019, IEEE Transactions on Intelligent Transportation Systems.

[33]  Tilo Schumann,et al.  Increase Of Capacity On The Shinkansen High-speed Line Using Virtual Coupling , 2017 .

[34]  Andreas F. Molisch,et al.  On Millimeter Wave and THz Mobile Radio Channel for Smart Rail Mobility , 2017, IEEE Transactions on Vehicular Technology.