Influence of the different input data volume, on the emergency vehicles relocation optimization process based on the AVL data

If we intent to realize the serious optimization task and if the main goal is the location and relocation of the ambulance vehicles based on the data archived in the history of the movement of these vehicles, at the very beginning we have to make several important decisions. One of the dilemmas is how far to go in the past, or how many destinations to which the vehicle traveled in the past we had to take in account and use as starting point of the analysis. In this paper we try to estimate influence of the different number of destinations to the quality of the optimization solution. For this purpose a specifically defined optimization coefficient is defined and introduced. We use the data extracted from the actual use of the emergency ambulance vehicles in real life and the optimization calculations are carried out using software module made during a live project implementation. The results obtained during this analysis of different scale of input data are illustrated and discussed in several aspects. Addition attention is directed to the most important analysis and that is the behavior and the comparison of the different optimization coefficient values.