id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_b3drjz6z2rhdjcak5ekjjx2qwi	Irena Ištoka Otković	Calibration of microsimulation traffic model using neural network approach	2013	10	.pdf	application/pdf	7389	683	55	This paper presents the results of research on the applicability of neural networks in the process of computer calibration of a microsimulation traffic model. prediction of a neural network for one traffic indicator, i.e. for the traveling time between measuring The process of validation includes an analysis of traveling time and queue parameters on new sets of data gathered both at the A computer can examine a large number of combinations of values of model input parameters in real time, in case that it can obtain software simulation output values (e.g. traveling time) of the of the neural network is to predict the time of travel between measuring points for particular values of input parameters, which preset criterion of comparison of modeled (by neural network prediction) and measured values of traveling time according to by the comparison of modeling results to measured values of traveling time and queue parameters at the examined roundabout.	./cache/work_b3drjz6z2rhdjcak5ekjjx2qwi.pdf	./txt/work_b3drjz6z2rhdjcak5ekjjx2qwi.txt