Decision Support System for Blockage Management in Fire Service

Abstract

In this article we present the foundations of a decision support system for blockage management in Fire Service. Blockage refers to the situation when all fire units are out and a new incident occurs. The approach is based on two phases: off-line data preparation and online blockage estimation. The off-line phase consists of methods from data mining and natural language processing and results in semantically coherent information granules. The online phase is about building the probabilistic models that estimate the block-age probability based on these granules. Finally, the selected classifier judges whether a blockage can occur and whether the resources from neighbour fire stations should be asked for assistance.

Development of a method of completing emergency rescue units with emergency vehicles

“…In [11], mathematical models are suggested for estimating the probability of ERUs' refusal to service a call due to the employment of forces and means to service another call. The mathematical models can be introduced into the ERU dispatching service with the purpose of early redistribution of forces and means on the territory of the settlement, depending on a change of the operational situation.…”

“…According to the results of the literature review [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], it has been found that the known methods for determining the number of EVs with the purpose of equipping ERUs and redeploying the available forces and means are developed mainly for million-plus cities. Such cities are characterized by a higher population density than other types of settlements, which is why the happening of hazardous events and emergencies on their territories is accompanied by a large number of victims and casualties.…”