Method for validating the train motion equations used for passenger rail vehicle simulation

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@article{8c5de2ebf278457ca4a4c54a58d5e93a,
title = "Method for validating the train motion equations used for passenger rail vehicle simulation",
abstract = "Train simulation software is conventionally validated by checking simulation results against equivalent data collected from real train runs. It is typically expected that these results will be within 5-10% accuracy of the recorded data. However, such a large margin could allow errors in the programming to be overlooked, resulting in an inaccurate model. This paper presents a method for error checking and validating the kinematics of train simulators based on comparison with calculated results, which are found by solving the fundamental equations governing train motion. A typical train run comprises of a combination of two or more of the four stages: accelerating, cruising, coasting and braking. Each stage is considered as a separate scenario for which the equations must be solved, in order to find the running time, distance travelled and energy consumption of the vehicle. This validation method is applied to two train movement simulators currently used for research. Certain specific scenarios for which analytical solutions are available are run in each simulator. The differences from the analytical solution in each test case are quantified, allowing the simulators to be compared to each other and the exact solution.",
keywords = "equations of motion, Simulation, validation, vehicle dynamics",
author = "Heather Douglas and Paul Weston and David Kirkwood and Stuart Hillmansen and Clive Roberts",
year = "2017",
month = apr,
day = "1",
doi = "10.1177/0954409716631784",
language = "English",
volume = "231",
pages = "455--469",
journal = "Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit",
issn = "0954-4097",
publisher = "SAGE Publications",
number = "4",

}

RIS

TY - JOUR

T1 - Method for validating the train motion equations used for passenger rail vehicle simulation

AU - Douglas, Heather

AU - Weston, Paul

AU - Kirkwood, David

AU - Hillmansen, Stuart

AU - Roberts, Clive

PY - 2017/4/1

Y1 - 2017/4/1

N2 - Train simulation software is conventionally validated by checking simulation results against equivalent data collected from real train runs. It is typically expected that these results will be within 5-10% accuracy of the recorded data. However, such a large margin could allow errors in the programming to be overlooked, resulting in an inaccurate model. This paper presents a method for error checking and validating the kinematics of train simulators based on comparison with calculated results, which are found by solving the fundamental equations governing train motion. A typical train run comprises of a combination of two or more of the four stages: accelerating, cruising, coasting and braking. Each stage is considered as a separate scenario for which the equations must be solved, in order to find the running time, distance travelled and energy consumption of the vehicle. This validation method is applied to two train movement simulators currently used for research. Certain specific scenarios for which analytical solutions are available are run in each simulator. The differences from the analytical solution in each test case are quantified, allowing the simulators to be compared to each other and the exact solution.

AB - Train simulation software is conventionally validated by checking simulation results against equivalent data collected from real train runs. It is typically expected that these results will be within 5-10% accuracy of the recorded data. However, such a large margin could allow errors in the programming to be overlooked, resulting in an inaccurate model. This paper presents a method for error checking and validating the kinematics of train simulators based on comparison with calculated results, which are found by solving the fundamental equations governing train motion. A typical train run comprises of a combination of two or more of the four stages: accelerating, cruising, coasting and braking. Each stage is considered as a separate scenario for which the equations must be solved, in order to find the running time, distance travelled and energy consumption of the vehicle. This validation method is applied to two train movement simulators currently used for research. Certain specific scenarios for which analytical solutions are available are run in each simulator. The differences from the analytical solution in each test case are quantified, allowing the simulators to be compared to each other and the exact solution.

KW - equations of motion

KW - Simulation

KW - validation

KW - vehicle dynamics

UR - http://www.scopus.com/inward/record.url?scp=85018246271&partnerID=8YFLogxK

U2 - 10.1177/0954409716631784

DO - 10.1177/0954409716631784

M3 - Article

AN - SCOPUS:85018246271

VL - 231

SP - 455

EP - 469

JO - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

JF - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

SN - 0954-4097

IS - 4

ER -