Abstract
The calibration results of transport simulation model depend on selected parameters and their values. The aim of the present paper is to calibrate a transport simulation model by a two-step cluster analysis procedure to improve the reliability of simulation model results. Two global parameters have been considered: headway and simulation step. Normal, uniform and exponential headway generation models have been selected for headway. Application of two-step cluster analysis procedure to the calibration procedure has allowed reducing time needed for simulation step and headway generation model value selection.
Highlights
The calibration of transport microscopic simulation model is the critical step in the transport flow analysis
A two-step cluster analysis procedure has been chosen for value selection of transport simulation model calibration parameters, because it can process a large amount of data, is fast and can work with both continuous and categorical variables [9] in cases when the number of appropriate clusters is not known
Headway generation model and simulation step have been selected for transport simulation model calibration
Summary
The calibration of transport microscopic simulation model is the critical step in the transport flow analysis. The aim of transport simulation model calibration is to reduce the difference among the observed transport situation on the road, network and the simulated one. To obtain data close to the observed one, it is necessary to evaluate default transport simulation model parameters which have influence on driver’s behaviour. Commercial tools provide various default parameters for simulation model calibration; parameters divide into global and local ones. Default parameters do not reproduce the observed situation pattern, so for each transport simulation model it is necessary to perform additional calibration and validation steps. The aim of this research is to perform transport simulation model calibration with headway (normal, uniforms and exponential distribution) and simulation step parameters; to evaluate how these parameters influence simulation outputs. Headway is the time interval between two vehicles arriving at the transport network
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