Crowd evacuation method and system based on multi-carrier intelligent guidance

Abstract

The invention discloses a crowd evacuation method and system based on multi-carrier intelligent guidance. The crowd evacuation method comprises leader evacuation path planning based on reinforcement learning, a collaborative guidance strategy based on an evacuation identifier and a leader and simulation test verification. The crowd evacuation system uses the multi-carrier intelligent guidance crowd evacuation method. The crowd evacuation system comprises a data acquisition and processing module, an intelligent guidance strategy generation module and a simulation test verification module. Compared with an evacuation strategy designed based on experience and a trial and error method in existing research, the crowd evacuation efficiency can be more effectively improved. Under the intelligentguiding strategy, various guiding mode configurations of the station have higher flexibility, and the operation cost of the station can be reduced on the premise that effective and safe evacuation isguaranteed.

Description

technical field [0001] The invention belongs to the technical field of rail transit management and operation, and relates to a crowd evacuation method and system based on multi-carrier intelligent guidance. Background technique [0002] Rail transit stations, as places for gathering and distributing passengers, usually have the characteristics of complex internal structures, relatively airtight spaces, and poor connectivity with the outside world. Once emergencies such as large passenger flows, fires, and terrorist attacks occur, emergency evacuation of passengers and rescue are difficult. , It is easy to cause mass death and mass injury. [0003] The problem of passenger-guided evacuation has always been the research focus in the field of pedestrian dynamics research, especially in places with dense population and complex structure, the problem of safe evacuation of pedestrians has attracted great attention. Previous studies have confirmed the necessity of setting up emerg...

AI Technical Summary

Problems solved by technology

However, in the actual evacuation environment, the evacuation environment and the state of the crowd are dynamically changing, and the guides cannot adjust the evacuation path in response to the dynamically changing environmental state, resulting in serious congestion on some originally planned evacuation paths, which greatly affects the overall evacuation efficiency

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