DocumentCode :
3469196
Title :
Application of a Predictive Model towards Fire Risks in Underground Metropolitan Transportation Based on Continuous Hazard Tracking
Author :
Zhang, Heng Quan ; Wu, Wei Wei
Author_Institution :
Bus. Sch., Hohai Univ., Nanjing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
3
Abstract :
With the rapid development of underground metropolitan transportation, the problem of safety risks, especially the fire risks, have always been accorded great attention by researchers and practitioners. In order to reduce the uncertainty of fire risks in underground metropolitan transportation, the main objective of this paper is to devise a proactive approach to dynamically predict and control conditions leading to fire hazards. A literature review of fire risks in underground metropolitan transportation is conducted firstly. Then, a predictive model that is based on the continuous tracking of fire hazards is applied to predict the fire risks of underground metropolitan transportation. Using the model, the certain system of underground metropolitan transportation can be identified as "under control" or "out of control" based on the methods of sampling and control charts. This research would provide us with an effective and valid method to lessen the uncertainty of fire hazards in underground metropolitan transportation as much as possible.
Keywords :
fires; hazards; risk analysis; road safety; transportation; continuous hazard tracking; fire risks; predictive model; underground metropolitan transportation; Computational modeling; Control charts; Fires; Hazards; Mathematical model; Predictive models; Rail transportation; Safety; Sampling methods; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.2429
Filename :
4680618
Link To Document :
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