Congestion Assessment And Evacuation Decision Of Metro Pedestrian Flow Based On Type-2 Fuzzy Sets

As an important part of the public transportation system,rail transit disperses the pedestrian flow of ground transportation and relieves the pressure on ground transportation.On the other hand,with more and more passengers choosing metro to travel,problems such as pedestrian congestion in metro stations have appeared.Pedestrian congestion will not only reduce the service quality of metro stations,but also bring safety hazards such as trampling to station passengers,seriously threatening the lives and property of passengers.Accurately assessing the degree of congestion in the station's pedestrian flow and formulating a reasonable pedestrian flow evacuation strategy under the premise of ensuring the safety of passengers can not only improve the efficiency of station operation,but also ensure the safety of passengers.Based on the theory of interval type-2 fuzzy sets,the thesis focuses on the evaluation of pedestrian flow congestion and evacuation strategies in metro stations.As pedestrian flow speed and pedestrian flow density can better reflect the congestion characteristics of metro pedestrian flow,these two indicators are chosen as the congestion assessment factors of pedestrian flow in the station.According to the actual situation,the congestion level of the pedestrian flow in the station is divided into four levels:clear,slight congestion,moderate congestion,and severe congestion,which are used as the evaluation set of pedestrian congestion.The proportion of each factor is determined to form a weight vector and the corresponding membership function is also given.The interval type-2 fuzzy comprehensive evaluation is used to evaluate the congestion state of the metro pedestrian flow in the ticket area,the station hall and the platform.The evaluation result is expressed by type-2 fuzzy sets.The Anylogic software is used to simulate the pedestrian flow of the metro station,and the pedestrian traffic congestion characteristics of the four-entry entrance island metro station are analyzed respectively.Combined with the pedestrian evacuation plan of the station,fuzzy rules are used to give the evacuation plan under the current pedestrian congestion state.By comparing the pedestrian flow density map of the metro station with or without the pedestrian flow congestion evacuation rules,it is verified that the method proposed in this paper can shorten the pedestrian flow evacuation time under the congestion state,which provides a new idea for the study of metro pedestrian flow evacuation...