A modular simulation tool for fixed block and moving block railway signalling systems

M. Barbaro , I. La Paglia , L. Bernardini , G. Bucca , R. Corradi , M. Bocciolone , A. Collina

Railway Engineering Science ›› : 1 -18.

PDF
Railway Engineering Science ›› :1 -18. DOI: 10.1007/s40534-025-00401-8
Article
research-article

A modular simulation tool for fixed block and moving block railway signalling systems

Author information +
History +
PDF

Abstract

The railway signalling system is a key player in controlling train traffic, with the purpose of guaranteeing safety while respecting transport demand. For rail vehicles, visual-based driving is unfeasible, and thus, railway signalling systems have been developed as answers to this issue. Moreover, the increasing demand for railway traffic requires improved signalling system performances. Recent developments have led to the theoretical definition of the Moving Block signalling system as an approach to overcome the limitations of the Fixed Block system, currently adopted in many applications worldwide. This paper focuses on the development of a modular time-based simulation tool for Fixed Block and Moving Block railway signalling systems. The simulator incorporates all main elements for the assessment of signalling system’s performances, including the model of the Radio Block Centre, used for the communication among the trains, the On-Board Unit, which generates the reference speed profile, the vehicle longitudinal dynamics, and the speed control algorithm, emulating a human driver’s behaviour. Different operational conditions have been considered to show the capabilities of the simulator, which may represent a first step towards the reduction of on-site testing of railway signalling systems.

Keywords

Railway signalling system / Fixed block / Moving block / Railway system simulation / Railway vehicle dynamics / Driver behavioural model

Cite this article

Download citation ▾
M. Barbaro, I. La Paglia, L. Bernardini, G. Bucca, R. Corradi, M. Bocciolone, A. Collina. A modular simulation tool for fixed block and moving block railway signalling systems. Railway Engineering Science 1-18 DOI:10.1007/s40534-025-00401-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Barney D, Haley D, Nikandros G (2001) Calculating train braking distance. In: Lindsay P (ed) Proc. Sixth Australian Workshop on Industrial Experience with Safety Critical Systems and Software (SCS 2001), Brisbane, Australia. CRPIT, vol 3. ACS, pp 23–30

[2]

Młyńczak J, Toruń A, Bester L (2016) European rail traffic management system (ERTMS). In: Sładkowski A, Pamuła W (eds) Intelligent Transportation Systems – Problems and Perspectives. Studies in Systems, Decision and Control, vol 32. Springer, Cham, pp 217–242

[3]

VignaliV, CuppiF, LantieriC, et al.. A methodology for the design of sections block length on ETCS L2 railway networks. J Rail Transp Plan Manage, 2020, 13100160

[4]

MartinezL, MartinU. Terminology, differences, and challenges of communications-based train control and European train control systems. WIT Trans Built Environ, 2020, 199: 15-26

[5]

FantechiACounsellS, NúñezM. Twenty-five years of formal methods and railways: what next?. Software Engineering and Formal Methods, 2014, Cham. Springer International Publishing. 167183

[6]

Espinosa-ArandaJL, García-RódenasR. A discrete event-based simulation model for real-time traffic management in railways. J Intell Transp Syst, 2012, 16(2): 94-107

[7]

Hill RJ, Bond LJ (1995) Modelling moving-block railway signalling systems using discrete-event simulation. In: Proceedings of the 1995 IEEE/ASME Joint Railroad Conference, Baltimore, MD, USA, April 4–6, 1995. IEEE, pp 105–111

[8]

Zappacosta C, Vetruccio S, Mancini G et al (2018) A simulation environment for railway dynamics and signalling, aimed to European certification of safe vital computers. In: 2018 AEIT International Annual Conference, Bari, Italy, 3–5 October, 2018. IEEE, pp 1–5

[9]

NüñezF, ReyesF, GrubeP, et al.. Simulating railway and metropolitan rail networks: from planning to on-line control. IEEE Intell Transp Syst Mag, 2010, 2(4): 18-30

[10]

Goodman CJ (1998) A review of simulation models for railway systems. Paper presented at International Conference on Developments in Mass Transit Systems, London, UK. IEE, pp 80–85

[11]

CantoneL. Traindy: traindy: the new union internationale des chemins de fer software for freight train interoperability. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2011, 225(1): 57-70

[12]

ColeCIwnickiS. Longitudinal train dynamics. Handbook of railway vehicle dynamics, 2006, Boca Raton. CRC Press. 239278

[13]

WangJ, RakhaHA. Longitudinal train dynamics model for a rail transit simulation system. Transp Res Part C Emerg Technol, 2018, 86: 111-123

[14]

DunbarR, RobertsC, ZhaoN. A tool for the rapid selection of a railway signalling strategy to implement train control optimisation for energy saving. J Rail Transp Plan Manag, 2017, 7(4): 224-244

[15]

NashA, HuerlimannD. Railroad simulation using opentrack. Adv Transp, 2004, 15: 45-54

[16]

DicembreA, RicciS. Railway traffic on high density urban corridors: capacity, signalling and timetable. J Rail Transp Plan Manag, 2011, 1(2): 59-68

[17]

DinglerMH, LaiYR, BarkanCPL. Impact of train type heterogeneity on single-track railway capacity. Transp Res Rec J Transp Res Board, 2009, 2117(1): 41-49

[18]

AounJ, QuagliettaE, GoverdeRMP. Roadmap development for the deployment of virtual coupling in railway signalling. Technol Forecast Soc Change, 2023, 189122263

[19]

FelezJ, Vaquero-SerranoMA. Virtual coupling in railways: a comprehensive review. Machines, 2023, 115521

[20]

JohanssonI, PalmqvistC-W, SipiläH, et al.. Microscopic and macroscopic simulation of early freight train departures. J Rail Transp Plan Manag, 2022, 21100295

[21]

European Union Agency for Railways (2015) FFFIS for Eurobalis, SUBSET-036, Version 3.1.0

[22]

LindegaardMP, ViufP, HaxthausenAE. Modelling railway interlocking systems. IFAC Proc Vol, 2000, 33(9): 179-185

[23]

Martino A (2008) Segnali Ferroviari Italiani. https://www.segnalifs.it/sfi/it/de/N_barsc_old.htm. Accessed date 18 September 2024

[24]

European Union Agency for Railways (2015) FIS for the RBC/RBC Handover, SUBSET-039, Version 3.2.0

[25]

Barbaro M, La Paglia I, Bernardini L et al (2024) A simulation environment for moving block signalling systems. In: Pombo J (ed) Civil-Comp Conferences Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance, Volume 7, Paper 26.1. Civil-Comp Press, Edinburgh, pp 1–12

[26]

LiudvinavičiusL, LingaitisLP. Electrodynamic braking in high-speed rail transport. Transport, 2007, 22(3): 178-186

[27]

VignatiM, DebattistiN, BacciML, et al.. A software-in-the-loop simulation of vehicle control unit algorithms for a driverless railway vehicle. Appl Sci, 2021, 11156730

[28]

European Union Agency for Railways. Introduction to ETCS braking curves. Version, 2020, 15

[29]

HavryliukVI. An overview of the ETCS braking curves. Electromagn Compat Saf Railw Transp, 2017, 2017(13): 12-19

[30]

CarnevaleM, La PagliaI, PennacchiP. An algorithm for precise localization of measurements in rolling stock-based diagnostic systems. Proc Inst Mech Eng Part F J Rail Rapid Transit, 2021, 235(7): 827-839

[31]

SassiI, El-KoursiE-M, IovinoSD, et al.. New onboard train integrity and train length determination: what are the safety requirements?. Transp Res Procedia, 2023, 72: 1443-1450

[32]

CormanF, D’ArianoA, PacciarelliD, et al.. Evaluation of green wave policy in real-time railway traffic management. Transp Res Part C Emerg Technol, 2009, 17(6): 607-616

RIGHTS & PERMISSIONS

The Author(s)

PDF

345

Accesses

0

Citation

Detail

Sections
Recommended

/