University of Twente Student Theses


Real-time assistance of endangered people in forest fires

Koole, R. (2022) Real-time assistance of endangered people in forest fires.

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Abstract:These days, wildfires are occurring more frequently than in previous years. This is due to the impact of climate change. Countries that had a small number of wildfires are now getting more. These countries are not well prepared for these disasters. Between 2000 and 2016 almost 65.6 million people died as a result of a wildfire. This is why the application EscapeWildFire is developed. This application will guide people who are in a rural area and in danger to a safe location. The goal of this research is to improve the exciting evacuation algorithm in the application. To achieve this goal and get an understanding of evacuation planning, research has been done. Together with the research and the requirements of the application, the requirements for the algorithm were established and realised in ArcGIS. In order to validate the algorithm, a historical fire was used. The fire that was picked for the evaluation is the Tanglewood Complex from 2011 in Amarillo, Texas. For this validation, three intervals of each being 30 minutes later than the previous one are chosen, and three types of transportation are used, car, bike, and on foot. The first time interval is at 13:30, when the fire started and corresponds to the usage of the application and its algorithm. The other two starting times are 14:00 and 14:30. Each route is evaluated if it is a low- or high-risk route and if the person will be at a safe location in time. Due to time constraints and limitations of the used software, not all the parameters of the theoretical proposed algorithm could be tested. So, a smaller algorithm that could be used for this project is realised. In conclusion, according to the results of the evaluation, when people evacuate with the EscapeWildFire application and the evaluated algorithm, everyone will be able to get to safety in time. But looking at the other time intervals, each time around 20% less of the people will be able to evacuate. In addition to that, the number of high-risk routes increased from 3 to 24 over the time of one hour.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:38 earth sciences
Programme:Creative Technology BSc (50447)
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