Clustering Hoax Fire Calls Using Evolutionary Computation Technology

Yang, Lili; Gell, M. A.; Dawson, Christian W.; Brown, M.

doi:10.1007/3-540-45034-3_65

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…Studies evidence that the motivations behind malicious false alarms may differ from place to place (Corcoran et al 2007(Corcoran et al , 2011. Identifying the calling number (Killalea 1998), clustering high-risk zones by phone prefix (Yang et al 2003), returning a call when it sounds suspicious (e.g., school sound behind), and asking to talk with an adult if a child's voice is heard are some of the actions that can be taken. The last two measures were implemented by Porto CDOS and were pointed out in our interviews as part of the reason why the district has fewer false alarms.…”

Section: Discussionmentioning

confidence: 98%

“…We started by assessing the average waiting time for different levels of crew capacity, under the base scenario and under a benchmark scenario in which the number of rekindles is reduced from 10% to 1%, the target in the "Technical Proposal for a National Plan of Defense of the Forest against Fires" (ISA 2005), and the number of false alarms is reduced from 9% to 4.5%, in line with international levels (Corcoran et al 2007;Karter 2011;Killalea 1998;Tu 2002;Yang et al 2003). The results of this analysis are presented in Fig.…”

Section: Benchmark Levels For Rekindles and False Alarmsmentioning

confidence: 97%

“…In the little research available about FA performance measures (Flynn 2009), we have found values for FA calls as a proportion of all emergency calls for the US (4.4% of all calls in 4.1% in 2010;Karter 2011), New Zealand (between 4.6% and 5.4%; Tu 2002), and the UK (5.0% in Derbyshire (Yang et al 2003) and 6.2% in South Wales (Corcoran et al 2007)). These numbers, when compared with the 12.3% observed in 2010 (AFN 2011a), suggest that there is still room for improvements regarding FAs in Portugal.…”

Section: Introductionmentioning

confidence: 98%

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Simulation analysis of the impact of ignitions, rekindles, and false alarms on forest fire suppression

2014

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Rekindles and false alarms are phenomena that have a significant presence in the Portuguese forest fire management system and an important impact on suppression resources in particular and fire management resources in general. In this paper, we propose a discrete-event simulation model of a forest fire suppression system designed to analyze the joint impact of ignitions, rekindles, and false alarms on the performance of the system. The model is applied to a case study of the district of Porto, Portugal, for the critical period of the forest fire season, between July and September 2010. We study the behavior of the system's point of collapse, comparing the real base scenario with a benchmark scenario built with reference values for rekindles and false alarms, and also as a function of the number of fire incidents, considering historical variations. The results of the analysis are useful for operational decision-making and provide relevant information on the trade-off between prevention and suppression efforts.Résumé : Les reprises de feu et les fausses alarmes sont des phénomènes qui occupent une place importante dans le système portugais de gestion des feux de forêt et qui ont un impact important particulièrement sur les ressources allouées à la suppression et de façon générale sur les ressources responsables de la gestion des feux. Dans cet article, nous proposons un modèle de simulation d'événements discrets d'un système de suppression des feux de forêt, conçu pour analyser l'impact conjoint des allumages, des reprises et des fausses alarmes sur la performance du système. Le modèle a été appliqué à une étude de cas dans le district de Porto, au Portugal, durant la période critique de la saison des feux de forêt, entre les mois de juillet et septembre 2010. Nous avons étudié le comportement du point de rupture du système en comparant le scénario de base réel à un scénario étalon élaboré avec des valeurs de référence pour les reprises de feu et les fausses alarmes et également en fonction du nombre de feux en tenant compte des variations historiques. Les résultats de l'analyse sont utiles pour prendre des décisions opérationnelles et fournissent des informations pertinentes au sujet des compromis entre les efforts de prévention et de suppression. [Traduit par la Rédaction] Mots-clés : suppression des feux de forêt, reprises de feu, fausses alarmes, simulation d'événements discrets.

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Section: Discussionmentioning

confidence: 98%

Section: Benchmark Levels For Rekindles and False Alarmsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 98%

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Simulation analysis of the impact of ignitions, rekindles, and false alarms on forest fire suppression

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The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study

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et al. 2007

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Genetic algorithm based software integration with minimum software risk

Long

Jones

Yang

2006

Information and Software Technology

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Abstract. This paper investigates an approach of integrating software with a minimum risk using Genetic Algorithms (GA). The problem was initially proposed by the need of sharing common software components among various departments within a same organization. Two significant contributions have been made in this study: (1) an assimilation exchange based software integration approach is proposed; (2) the software integration problem is formulated as a search problem and solved by using a GA. A case study is based on an on-going software integration project carried out in the Derbyshire Fire Rescue Service, and used to illustrate the application of the approach.

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Clustering Hoax Fire Calls Using Evolutionary Computation Technology

Cited by 3 publications

References 4 publications

Simulation analysis of the impact of ignitions, rekindles, and false alarms on forest fire suppression

Simulation analysis of the impact of ignitions, rekindles, and false alarms on forest fire suppression

The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study

Genetic algorithm based software integration with minimum software risk

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