Passenger Flow Guidance Method for Urban Rail Transit Based on Multi-Agent Simulation
An urban rail transit, multi-intelligence technology, applied in the field of urban rail transit passenger flow induction based on multi-agent simulation, can solve problems such as traffic congestion
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[0118] The present invention takes the Beijing subway as an example to verify the model and algorithm. The data to be input includes: Beijing subway network topology data, passenger flow time-sharing OD data, travel time parameters in passenger stations, and train schedule data. Through calculation, 50 stations should be selected to issue guidance information during the morning peak hours.
[0119] In addition, the present invention can provide a refined induction scheme, realizing "one scheme for each station". That is to say, each station can get a differentiated passenger flow guidance plan, so that passengers at each station see different road network congestion conditions. The meaning of passenger flow congestion information about a certain section released to passengers at a station is that passengers departing from the station at the current time may encounter congestion if they pass through the section, which can assist passengers in making reasonable travel decisions...
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