Calibrating a mic-simulation model is a tricky subject and I am working on calibrating SUMO model parameters. When I examined the literature on this subject, I did not come across a customized calibration approach for certain types of road networks. I will be glad to communicate and share information with those who have knowledge on this subject.
I haven't worked on calibrating simulation models of road networks, but we applied a random search method (the stochastic ruler algorithm) for calibrating our infectious disease transmission simulation model. The work is documented here: https://www.informs-sim.org/wsc21papers/102.pdf
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Hello
There are three approaches to design the simulator model
Basic Agent Approach
Dynamic system
Discrete continuously
That each one with regard to the type of model you choose
To validate the model, you should throw the simulated model to identify the model bugs
Good luck
According to Rakha et al. (1996), calibration can be defined as the method of selecting the best set of model input parameters to address differences between the model’s default assumptions/conditions, and those actually observed locally (Rakha et al. 1996). Park and Schneeberger (2003) further suggest that traffic simulation software contains many default values, allowing the modeller access to modify variables and parameters; the authors prescribed that changes to simulation software set parameters for calibration purposes should be justified and defensible by the modeller, as ‘many of the parameters used in simulation models are difficult to measure in the field, yet they can have a substantial impact on the model’s performance’ (Park & Schneeberger 2003, p. 1).
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