Abstract Most of the previous calculations for tunnel evacuation times are based on fixed parameters, and there are large differences between assumed and actual situations, so the calculation results are less than satisfactory. Because of the complexity of the tunnel environment and the behavior of people, evacuation behavior is full of randomness. Many statistical results of random calculations are obtained through a detailed analysis of the tunnel evacuation process and by using the random data input method and the Monte Carlo method to calculate evacuation time.Statistics show the randomness of evacuation behavior and the computation results are closer to the real-life situation compared with those of a general simulation. The results show that the Monte Carlo method is simple, goal-oriented, fast, and characterized by easy parameter adjustment and application, which adapts to tunnel evacuations in complex scenarios.
Abstract��
Most of the previous calculations for tunnel evacuation times are based on fixed parameters, and there are large differences between assumed and actual situations, so the calculation results are less than satisfactory. Because of the complexity of the tunnel environment and the behavior of people, evacuation behavior is full of randomness. Many statistical results of random calculations are obtained through a detailed analysis of the tunnel evacuation process and by using the random data input method and the Monte Carlo method to calculate evacuation time.Statistics show the randomness of evacuation behavior and the computation results are closer to the real-life situation compared with those of a general simulation. The results show that the Monte Carlo method is simple, goal-oriented, fast, and characterized by easy parameter adjustment and application, which adapts to tunnel evacuations in complex scenarios.
2017, Vol. 54 