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ATS International Journal
Editor in Chief: Prof. Alessandro Calvi
Address: Via Vito Volterra 62,
00146, Rome, Italy.
Mail to: alessandro.calvi@uniroma3.it

Research on emergency evacuation path optimization of transportation hub based on fuzzy theory

J. Wei, S.M. Li, Z.S. Zhang, R.H. Du, L. Zhao, H.M. Liu
Pages: 49-60

Abstract:

Aiming at the problems of long time and high cost of emergency evacuation in traditional optimization methods for emergency evacuation path of traffic hub, an optimization method for emergency evacuation path of traffic hub based on fuzzy theory is proposed. According to the sudden and dynamic characteristics of emergency evacuation path of transportation hub, the weight of different paths is solved by using the method of fuzzy analytic hierarchy process (FAHP). The corresponding path weight matrix is constructed, and the path weight matrix is introduced into the solution model of state transition probability of ant colony algorithm to obtain the optimal emergency evacuation path of traffic hub. The simulation results show that the proposed method can effectively improve the efficiency of emergency evacuation and reduce the cost of emergency evacuation.
Keywords: based on fuzzy theory; traffic hub; emergency evacuation; path optimization

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