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Study On Simulation Of Evacuation Dynamics In Metro Station

Posted on:2008-11-09Degree:MasterType:Thesis
Country:ChinaCandidate:L D WangFull Text:PDF
GTID:2132360212492474Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
Urban rail transit is important part of modern systematic transport system, and it has high speed and great carrying capacity. Urban rail transit is an independent and closed system, the process of human evacuation poses a threat to the public safety. If accidents occur in the evacuation crowd, it is very likely to hinder the process of evacuation, or even cause injury or death. So, works must be done to study the evacuation dynamics.This paper aimed at urban rail station, study on the human evacuation under the situation of station fire accident. Based on the brief analysis of the characteristic of urban rail transit, the author described the characteristics of the construction and the function about the station and summarized the behavior rules of the human evacuation under the special circumstance in the urban rail station. From many aspects such as psychology, behavior, cognizance, action ability and expressional phenomenon the paper studied on the behavior characteristic when the people are evacuated. After the comparison on the different microcosmic simulation models the author set up an urban tail station microcosmic discrete simulation model. Compared with some existing models the model has much more flexibility. Through different combination of the input parameters we can simulate the human evacuation process of different scenes and situations under the special circumstance. The author opened the corresponding simulation system based on the model and proved preferable practicability of the system by simulation on the Xizhimen station. The system have extensive foreground on many aspects such as rail station design, evacuation preplan evaluation and training of the safety managers.
Keywords/Search Tags:Metro Station, Human Evacuation, Behavior Analysis, Microcosmic Simulation, Multi-agent
PDF Full Text Request
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