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

机译:不同输入数据量对基于AVL数据的应急车辆重定位优化过程的影响

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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.
机译:如果我们打算实现严峻的优化任务,并且主要目标是根据这些车辆的行驶历史中存储的数据来确定救护车的位置和位置,那么一开始我们就必须做出几个重要的决定。难题之一是过去要走多远,或者过去我们要把车辆行驶到多少个目的地,我们必须考虑并将其用作分析的起点。在本文中,我们尝试估算不同目的地数对优化解决方案质量的影响。为此目的,定义并引入了专门定义的优化系数。我们使用从现实生活中紧急救护车的实际使用中提取的数据,并使用在实际项目实施过程中制作的软件模块进行优化计算。在不同方面的输入数据的这种分析过程中获得的结果将在几个方面进行说明和讨论。另外要注意的是最重要的分析,即不同优化系数值的行为和比较。

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