Print Email Facebook Twitter Calibration and validation of cellular automaton traffic flow model with empirical and experimental data Title Calibration and validation of cellular automaton traffic flow model with empirical and experimental data Author Jin, C.J. (TU Delft Transport and Planning; Southeast University; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies) Knoop, V.L. (TU Delft Transport and Planning) Jiang, Rui (MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology) Wang, Wei (Southeast University; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies) Wang, Hao (Southeast University; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies) Date 2018-06-01 Abstract For traffic flow models, calibration and validation are essential. Cellular automaton (CA) models are a special class of models, describing the movement of vehicles in discretised space and time. However, the previous work on calibration and validation does not discuss CA models systematically. This study calibrates and validates a stochastic CA model. The authors use a simple CA model, which only has two important parameters to be calibrated. The methodology for optimisation is to minimise the relative root mean square error between two properties: The averaged velocity and the variation of velocities in a platoon at a given density. Three different sites are used as cases to show the methodology, for which different types of data (video trajectories or GPS data) are available. The authors find that the best model parameters vary for the different locations. This may result from various driving strategies and potential tendencies. Thus, it is concluded that for CA models, various traffic flow phenomena need to be simulated by various parameters. To reference this document use: http://resolver.tudelft.nl/uuid:bfcfda6d-c591-4f25-9cef-b8f5d174610f DOI https://doi.org/10.1049/iet-its.2016.0275 Embargo date 2018-08-14 ISSN 1751-956X Source IET Intelligent Transport Systems, 12 (5), 359-365 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 C.J. Jin, V.L. Knoop, Rui Jiang, Wei Wang, Hao Wang Files PDF 08357607.pdf 2.32 MB Close viewer /islandora/object/uuid:bfcfda6d-c591-4f25-9cef-b8f5d174610f/datastream/OBJ/view