NeTrainSim: a network-level simulator for modeling freight train longitudinal motion and energy consumption

Ahmed S. Aredah , Karim Fadhloun , Hesham A. Rakha

Railway Engineering Science ›› 2024, Vol. 32 ›› Issue (4) : 480 -498.

PDF
Railway Engineering Science ›› 2024, Vol. 32 ›› Issue (4) :480 -498. DOI: 10.1007/s40534-024-00331-x
Article
research-article
NeTrainSim: a network-level simulator for modeling freight train longitudinal motion and energy consumption
Author information +
History +
PDF

Abstract

Although train modeling research is vast, most available simulation tools are confined to city- or trip-scale analysis, primarily offering micro-level simulations of network segments. This paper addresses this void by developing the NeTrainSim simulator for heavy long-haul freight trains on a network of multiple intersecting tracks. The main objective of this simulator is to enable a comprehensive analysis of energy consumption and the associated carbon footprint for the entire train system. Four case studies were conducted to demonstrate the simulator’s performance. The first case study validates the model by comparing NeTrainSim output to empirical trajectory data. The results demonstrate that the simulated trajectory is precise enough to estimate the train energy consumption and carbon dioxide emissions. The second application demonstrates the train-following model considering six trains following each other. The results showcase the model ability to maintain safe-following distances between successive trains. The next study highlights the simulator’s ability to resolve train conflicts for different scenarios. Finally, the suitability of the NeTrainSim for modeling realistic railroad networks is verified through the modeling of the entire US network and comparing alternative powertrains on the fleet energy consumption.

Keywords

NeTrainSim / Network train simulation / Train longitudinal motion / Energy consumption / Carbon footprint

Cite this article

Download citation ▾
Ahmed S. Aredah, Karim Fadhloun, Hesham A. Rakha. NeTrainSim: a network-level simulator for modeling freight train longitudinal motion and energy consumption. Railway Engineering Science, 2024, 32(4): 480-498 DOI:10.1007/s40534-024-00331-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Nalley S, LaRose A. Annual energy outlook 2022. 2022, Washington, U.S Energy Information Administration

[2]

Association of American Railroads (2021) Freight railroads & climate change. https://www.aar.org/wp-content/uploads/2021/02/AAR-Climate-Change-Report.pdf, Accessed 18 May 2022

[3]

United States Environmental Protection Agency (EPA) (2023) Fast facts: U.S. transportation sector greenhouse gas emissions 1990–2021. https://www.epa.gov/system/files/documents/2023-06/420f23016.pdf. Accessed 17 May 2022

[4]

Association of American Railroads. Railroad facts. 2022, New York, Watertown

[5]

García-Álvarez A, Perez-Martinez P, González-Franco I. Energy consumption and carbon dioxide emissions in rail and road freight transport in Spain: a case study of car carriers and bulk petrochemicals. J Intell Transp Syst. 2012, 17(3): 233-244

[6]

Iwnicki S, Spiryagin M, Cole C, et al. . Handbook of railway vehicle dynamics. 20192Boca Raton, CRC Press

[7]

Wu Q (2017) Optimisations of draft gear designs for heavy haul trains. Dissertation, Central Queensland University

[8]

Cole C (1999) Longitudinal train dynamics: characteristics, modeling, simulation and neural network prediction for Central Queensland coal trains. Dissertation, Central Queensland University

[9]

Wu Q, Luo S, Cole C. Longitudinal dynamics and energy analysis for heavy haul trains. J Mod Transp. 2014, 22(3): 127-136

[10]

Shabana AA, Aboubakr AK, Ding L. Use of the non-inertial coordinates in the analysis of train longitudinal forces. J Comput Nonlinear Dyn. 2012, 7(1): 011001

[11]

Kovalev R, Sakalo A, Yazykov V, et al. . Simulation of longitudinal dynamics of a freight train operating through a car dumper. Veh Syst Dyn. 2016, 54(6): 707-722

[12]

Qi Z, Huang Z, Kong X. Simulation of longitudinal dynamics of long freight trains in positioning operations. Veh Syst Dyn. 2012, 50(9): 1409-1433

[13]

Chen C, Han M, Han Y. A numerical model for railroad freight car-to-car end impact. Discret Dyn Nat Soc. 2012, 2012: 927592

[14]

Jin X, Luo Y. The mathematic description of features of the friction type draft gears. Roll Stock. 2011, 49: 1-4(in Chinese)

[15]

Varazhun I, Shimanovsky A, Zavarotny A. Determination of longitudinal forces in the cars automatic couplers at train electrodynamic braking. Procedia Eng. 2016, 134: 415-421

[16]

Evans J, Berg M. Challenges in simulation of rail vehicle dynamics. Veh Syst Dyn. 2009, 47(8): 1023-1048

[17]

Li W, Jiang S, Jin M. Multi-Objective optimization and weight selection method for heavy haul trains trajectory. IEEE Access. 2022, 10: 41152-41163

[18]

Wei W, Lin Y. Simulation of a freight train brake system with 120 valves. Proc Inst Mech F J Rail Rapid Transit. 2009, 223(1): 85-92

[19]

Andersen DR, Booth GF, Vithani AR et al (2012) Train energy and dynamics simulator (teds): a state-of-the-art longitudinal train dynamics simulator. In: ASME 2012 Rail Transportation Division Fall Technical Conference, Omaha, pp 57–63

[20]

Sanborn GG, Heineman JR, Shabana AA (2007) A low computational cost nonlinear formulation for multibody railroad vehicle systems. In: ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Las Vegas, pp 1847–1856

[21]

Wu Q, Cole C, Luo S, Spiryagin M. A review of dynamics modeling of friction draft gear. Veh Syst Dyn. 2014, 52(6): 733-758

[22]

Cipek M, Pavković D, Kljaić Z, et al. . Assessment of battery-hybrid diesel-electric locomotive fuel savings and emission reduction potentials based on a realistic mountainous rail route. Energy. 2019, 173: 1154-1171

[23]

Kirschstein T, Meisel F. GHG-emission models for assessing the eco-friendliness of road and rail freight transports. Transp Res Part B Methodol. 2015, 73: 13-33

[24]

Graver B, Frey H. Comparison of locomotive emissions measured during dynamometer versus rail yard engine load tests. Transp Res Rec. 2013, 2341(1): 23-33

[25]

American railway engineering and maintenance-of-way association (2021) AREMA manual for railway engineering

[26]

Fadhloun K, Rakha H. A novel vehicle dynamics and human behavior car-following model: model development and preliminary testing. Int J Transp Sci Technol. 2020, 9(1): 14-28

[27]

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

[28]

Spiryagin M, Wu Q, Cole C et al (2016) Advanced studies on locomotive dynamics behavior utilizing co-simulation between multibody and train dynamics packages. In: CORE 2016, Maintaining the Momentum, Conference on Railway Excellence, Melbourne

[29]

Hay WW. Railroad engineering. 1991, New York, Wiley

[30]

Brandenburger N, Jipp M. Effects of expertise for automatic train operations. Cogn Technol Work. 2017, 19: 699-709

[31]

Aredah A, Fadhloun K, Rakha HA et al (2022) NeTrainSim: A longitudinal freight train dynamics simulator for electric energy consumption. In: Transportation Research Board Annual Meeting 2022, Washington DC

[32]

Ahn K, Aredah A, Rakha H, et al. . Simple diesel train fuel consumption model for real-time train applications. Energies. 2023, 16(8): 3555

[33]

Dion F, Rakha H, Kang YS. Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections. Transp Res Part B Methodol. 2004, 38(2): 99-122

[34]

Rakha H, Kang YS, Dion F. Estimating vehicle stops at undersaturated and oversaturated fixed-time signalized intersections. Transp Res Rec. 2001, 1776(1): 128-137

[35]

Wang J, Ghanem A, Rakha H, et al. . A rail transit simulation system for multi-modal energy-efficient routing applications. Int J Sustain Transp. 2021, 15(3): 187-202

[36]

Aredah A, Du J, Hegazi M, et al. . Comparative analysis of alternative powertrain technologies in freight trains: a numerical examination toward sustainable rail transport. Appl Energy. 2024, 356: 122411

[37]

Aredah A, Fadhloun K, Rakha H et al (2022) NeTrainSim: a network freight train simulator for estimating energy/fuelconsumption. Preprints 2022080518. https://doi.org/10.20944/preprints202208.0518.v1. Accessed 17 May 2022

PDF

360

Accesses

0

Citation

Detail

Sections
Recommended

/