Passenger Flow Guidance Method for Urban Rail Transit Based on Multi-Agent Simulation

Abstract

The invention provides a passenger flow guidance method of urban rail transit based on multi-agent simulation. The method includes: constructing a passenger flow dynamic guidance optimization bilevelprogramming model considering the scope and content of guidance information; taking the sum of the total travel cost and guidance cost of the network as the objective function, the upper optimizationmodel generates the passenger flow guidance scheme by genetic algorithm. The lower level simulation model is used to simulate the passenger 's travel behavior in the current passenger flow guidance scheme, the passenger flow and generalized cost of each section in the simulation period are inputted into the upper optimization model, The upper optimization model substitutes the passenger flow inducement scheme, the passenger flow and the generalized cost into the objective function, and obtains the fitness function under the current solution. Through multiple times of iterations, the optimal dynamic passenger flow inducement scheme with the highest fitness function is obtained. The invention can realize fine guidance of one station one scheme, assist passengers to make reasonable route decision, and alleviate local passenger flow congestion of urban rail transit network.

Description

technical field [0001] The invention relates to the technical field of passenger flow management of urban rail transit, in particular to a method for inducing passenger flow of urban rail transit based on multi-agent simulation. Background technique [0002] With the increase of passenger demand in urban rail transit, the congestion problem of urban rail transit network is becoming more and more serious. While overcrowding reduces the operational efficiency of urban rail transit networks, it also affects the travel experience of passengers, causing some passengers to abandon rail transit and choose other modes of transportation. Therefore, formulating effective measures to relieve subway passenger flow congestion plays an important role in improving the service level of rail transit. [0003] Subway operating departments usually alleviate network congestion by increasing supply capacity or limiting passenger demand, such as increasing the number of trains or controlling the...

AI Technical Summary

Problems solved by technology

[0005] The disadvantages of the above-mentioned passenger flow guidance system in the prior art are: the road traffic guidance practice results show that when the participants in the traffic guidance only know their own interests and ignore the existence and decision-making behavior of other passengers on the road network, it is likely to cause too many passengers. Congregate on the same road segment at the same time, causing traffic jams

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