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Journal of Advanced Transportation
Volume 2017 (2017), Article ID 3078063, 10 pages
Research Article

Investigating the Transferability of Calibrated Microsimulation Parameters for Operational Performance Analysis in Roundabouts

Department of Civil Engineering, University of Calabria, Rende, 87036 Cosenza, Italy

Correspondence should be addressed to Vincenzo Gallelli; ti.lacinu@illellag.oznecniv

Received 31 July 2016; Revised 17 December 2016; Accepted 4 January 2017; Published 19 January 2017

Academic Editor: Dongjoo Park

Copyright © 2017 Vincenzo Gallelli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Microsimulation models are widespread for the analysis of roundabouts operational performance providing realistic modelling of vehicle movements. These models are based on many independent parameters to describe traffic and driver behaviour, which need to be calibrated in order to better match field data. In practice, despite the well-recognized importance of calibration and validation processes, simulation is conducted under default values because of difficulties in field data collection and deficiency in available guidelines. These issues can be faced by using transferability methodologies that allow applying the parameters calibrated for a case study to other similar locations. Therefore, this paper investigates the suitability of the transferability procedure adopting both the application-based and estimation-based approaches, by considering two roundabouts and a microsimulation tool. A Genetic Algorithm technique was used to determine the best estimates of these model parameters. After that, the authors compared field-measured with simulated queue lengths, considering four different scenarios. The results show that the application of Wiedemann 99 parameters calibrated for the first case study to the second one allows reducing the RMSNE more than 50%, thus confirming an acceptable level of transferability of these parameters between the two case studies.