The validation of a microscopic simulation model: a methodological case study
The validation of a microscopic simulation model: a methodological case study
The use of microscopic simulation models to assess the likely effects of new traffic management applications and changes in vehicle technology is becoming increasingly popular. However the validity of the models is a topic of increasing concern, as the quality of the presentation often exceeds the models ability to predict what is likely to happen.
Traditionally, model validity has been ascertained through comparing outputs aggregated at a macroscopic level such as speed flow and lane use, against real data. Little microscopic comparison is generally possible and, where this is done there is often no separation of the calibration and validation process. This paper demonstrates how microscopic validation may be undertaken when suitable data is available, in this case time series data collected by an instrumented vehicle, and its use in the validation of the car following performance of a fuzzy logic based car following model. Good agreement has been attained between the simulated model and observed data, primarily using a root mean square error indicator. Lastly, a brief comparison of the new model with the performance of a number of existing formulations has also been undertaken.
car following, simulation, calibration, validation, instrumented vehicle
463-479
Wu, J.
5a0119e5-a760-4ff5-90b9-ec69926ce501
Brackstone, M.
c71d6261-447a-45a9-a5ee-35e514a616c9
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
2003
Wu, J.
5a0119e5-a760-4ff5-90b9-ec69926ce501
Brackstone, M.
c71d6261-447a-45a9-a5ee-35e514a616c9
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
Wu, J., Brackstone, M. and McDonald, M.
(2003)
The validation of a microscopic simulation model: a methodological case study.
Transportation Research Part C: Emerging Technologies, 11 (6), .
(doi:10.1016/j.trc.2003.05.001).
Abstract
The use of microscopic simulation models to assess the likely effects of new traffic management applications and changes in vehicle technology is becoming increasingly popular. However the validity of the models is a topic of increasing concern, as the quality of the presentation often exceeds the models ability to predict what is likely to happen.
Traditionally, model validity has been ascertained through comparing outputs aggregated at a macroscopic level such as speed flow and lane use, against real data. Little microscopic comparison is generally possible and, where this is done there is often no separation of the calibration and validation process. This paper demonstrates how microscopic validation may be undertaken when suitable data is available, in this case time series data collected by an instrumented vehicle, and its use in the validation of the car following performance of a fuzzy logic based car following model. Good agreement has been attained between the simulated model and observed data, primarily using a root mean square error indicator. Lastly, a brief comparison of the new model with the performance of a number of existing formulations has also been undertaken.
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Published date: 2003
Keywords:
car following, simulation, calibration, validation, instrumented vehicle
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Local EPrints ID: 39386
URI: http://eprints.soton.ac.uk/id/eprint/39386
ISSN: 0968-090X
PURE UUID: 6827ee7e-d14e-49b1-9d34-9b4bed7a9f6b
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Date deposited: 28 Jun 2006
Last modified: 15 Mar 2024 08:13
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Author:
J. Wu
Author:
M. Brackstone
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