The Fire Trucks Line Modelling for Fires Mitigation in Dense Settlement Population Using Agent Based Model Simulation Apporoached

Authors

  • Aprilla Warlisia Sandana Informatic Engineering Department, STMIK PPKIA Tarakanita

Keywords:

Agent Based Model, Fire Trucks, Movement, Simulation

Abstract

Emergency response conditions were an important part of the disaster phase scenario. The level of coordination of people and fire fighters agencies in the event of fire emergency response in coastal residential areas was quite low. This research was a simulation study and evaluation of information system mechanism and government coordination in fire disaster response in the dense settlement population of ​​Tarakan, North Kalimantan. This study also presented an Agent Based Model simulation that were modeled the mobilization of fire trucks to the location utilized Net Logo. The time and speed of mobilization of fire trucks had been determined in some parameters. The results showed that the shortest path and optimal mitigation time were determined based on the accuracy of information and accessability to the fire location. A best-case scenario had been produced in a simulation modeling the mobilization of fire trucks. Fire trucks had an accessable moving towards the biggest hotspot when victim evacuation had been performed well.

References

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S. Dobson, M. Burkitt, D. Breslin, and D. Romano, “Developing an ABM-driven Decision Support System in the Emergency Services.,” Proc. 18th Int. Conf. Enterp. Inf. Syst., pp. 151–157, 2016.

A. Sandana, “Simulasi Evakuasi Bencana Kebakaran Pemukiman Pesisir Berbasis Agent Based Model,” J. Pendidik. dan Apl. Ind., vol. Vol. 8, No, pp. 133–138, 2021.

Q. Sun and Y. Turkan, “ABM and GIS Integration for Investigating the Influential Factors Affecting Wildfire Evacuation Performance,” Proc. 37th Int. Symp. Autom. Robot. Constr., pp. 1029–1036, 2020.

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Published

2022-08-19