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Research on pedestrian escape route without visibility
based on Markov chain model |
| Xiaoping ZHENG1,Lijuan DU1,Hongjiang WANG2, |
| 1.Institute of Safety Management,
Beijing University of Chemical Technology, Beijing 100029, China; 2.Department of Human Resource,
Qingdao University, Qingdao 266071, China; |
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Abstract It is a pioneering work to use a Markov chain model to study the pedestrian escape route without visibility. In this paper, based on the Markov chain probability transition matrix, the algorithms with random numbers and the spatial-grid, an escape route in a limited invisible space is obtained. Six pace states (standing, crawling, walking, leaping, jogging, and running) are applied to describe the characteristics of pedestrian behaviors. Besides, eight main direction changes are used to describe the transition characteristic of a pedestrian. At the same time, this paper analyzes the escape route from two views, i.e., pedestrian pace states and directions. The research results show that the Markov chain model is more realistic as a means of studying pedestrian escape routes.
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Issue Date: 05 September 2010
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