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Research On Underground Evacuation Model Based On Crowd Pedestrian Flow

Posted on:2009-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y HuangFull Text:PDF
GTID:2132360242974817Subject:Safety Technology and Engineering
Abstract/Summary:PDF Full Text Request
The urban rail transit system is one of the biggest scales of capital construction, which is of decisive significance to accelerate our socialist economic development. The study of building human evacuation model has been the important aspect now in the city railway transportation researches. Building a simulation model which is based on the passengers' volume, distribution, density and direction is important to the intelligent decision, control and safe evacuation of the railway transportation service system.According to the research on the crowd flow rules of human evacuation and network evacuation model, along with the observation and analysis of crowd flow rules of human evacuation. The network evacuation model based on the crowd pedestrian flow in underground environment has been built, which can provide reliable model basis for simulation models. The main productions of the paper include the following:1. Studied on the crowd flow rules of human evacuation and analyze the data acquired from the observation, get the velocity-density relationship in passage, corner of passage, stairs and so on. Compared with the research result of others scholars.2. Firstly, according to the characteristic of underground structure, the author brings forward to divide the whole building into four kinds of evacuation units. Arithmetic for calculation of human evacuation time for different kinds of evacuation units has been studied. The network evacuation model has been built. This paper also analyzes the human evacuation distribution, route and choke point problem.3. The network evacuation model is introduced to estimate evacuation time of the typical underground station, and the relationship between the width of evacuation stair and the properties of safety evacuation has been studied.
Keywords/Search Tags:Underground, Evacuation, Evacuation model, Crowd pedestrian flow
PDF Full Text Request
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