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Reseach Article

Modeling Effect of Traffic on Increased Losses from Fire Incidents using Matlab Software

by Mehdi Salehi Ghara Mohammadi, Mostafa Adelizadeh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 18
Year of Publication: 2019
Authors: Mehdi Salehi Ghara Mohammadi, Mostafa Adelizadeh
10.5120/ijca2019919630

Mehdi Salehi Ghara Mohammadi, Mostafa Adelizadeh . Modeling Effect of Traffic on Increased Losses from Fire Incidents using Matlab Software. International Journal of Computer Applications. 177, 18 ( Nov 2019), 12-19. DOI=10.5120/ijca2019919630

@article{ 10.5120/ijca2019919630,
author = { Mehdi Salehi Ghara Mohammadi, Mostafa Adelizadeh },
title = { Modeling Effect of Traffic on Increased Losses from Fire Incidents using Matlab Software },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2019 },
volume = { 177 },
number = { 18 },
month = { Nov },
year = { 2019 },
issn = { 0975-8887 },
pages = { 12-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number18/30998-2019919630/ },
doi = { 10.5120/ijca2019919630 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:46:14.382012+05:30
%A Mehdi Salehi Ghara Mohammadi
%A Mostafa Adelizadeh
%T Modeling Effect of Traffic on Increased Losses from Fire Incidents using Matlab Software
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 18
%P 12-19
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This study aims to address intersections of high-density fire zones with the most traveled roads in Karaj city during peak traffic hours. These zones and roads have been identified through collection of field data and desk research. Then resulting map of two areas, i.e. the most travelled roads and high-density fire zones were superposed and the intersection was obtained that represents the high-risk region. As result, in order to mitigate and prevent future financial losses and mortalities in this region, the recommendations are made with regard to traffic method, and requirements of rule of law to prevent fire incidents and their expansion in available places on the region. The neural network model was used to predict degree of losses. The results suggest that this network predicts the event with accuracy of 0/9938.

References
  1. AlirezaSarvariSayyed , MajidMazinani, A new tunnel fire detection and suppression system based on camera image processing and water mist jet fans, heliyon , Volume 5, Issue 6, June 2019, e01879.
  2. ChangLiu, MaohuaZhong, XiangliangTian , PeihongZhang, ShuwenLi, Study on emergency ventilation for train fire environment in metro interchange tunnel, Building and Environment , Volume 147, January 2019, Pages 267-283.
  3. MinjiChoi, SeokhoChi , ShuwenLi, Simulation Modelling Practice and Theory Optimal route selection model for fire evacuations based on hazard prediction data, Elsevier Simulation Modelling Practice and Theory , Volume 94, July 2019, Pages 321-333.
  4. JunliLuoa, ZhishengXub , FulinLib, JiamingZhaob, Effect of vehicular blocking scene on smoke spread in the longitudinal ventilated tunnel fire Case Studies in Thermal Engineering , Elsevier, Volume 14, September 2019, 100495.
  5. ZhiguoYan, YuxinZhang, QingchaoGuo , HehuaZhu, YiShen , QinghuaGuo, Numerical study on the smoke control using point extraction strategy in a large cross-section tunnel in fire, Tunnelling and Underground Space Technology , Volume 82, December 2018, Pages 455-467.
  6. NobuoMishimab, TakayukiFuchikamic , A Simulation Study on Fire Evacuation Routes in Primary Stage for a Historic Canal Residential Area, Elsevier Procedia - Social and Behavioral Sciences, Volume 216, 6 January 2016, Pages 492-502.
  7. QiZhangab, Scene Design and Simulation Analysis of Fire Accident in Underwater Tunnel , Elsevier Procedia Engineering, Volume 166, 2016, Pages 337-346.
  8. J.PesicaDarko, N.ZigaraIonAnghelbSrdjan , M.Glisovica , Large Eddy Simulation of wind flow impact on fire-induced indoor and outdoor air pollution in an idealized street canyon, Elsevier Journal of Wind Engineering and Industrial Aerodynamics, Volume 155, August 2016, Pages 89-99.
  9. ZhengWei, Fire Safety Design of Indoor Pedestrian Streets of Large Commercial Building, Elsevier Procedia Engineering, Volume 52, 2013, Pages 652-656.
Index Terms

Computer Science
Information Sciences

Keywords

Matlab Traffic Fire incidents Golden time