Method and device for automatic calibration of rail transit passenger flow distribution model parameters

Abstract

The invention provides a method and device for parameter automatic calibration of a rail transit passenger flow distributing model, and belongs to the technical field of intelligent transportation. According to the method, the genetic algorithm is adopted for executing the passenger flow distributing model, the nonparametric statics inspection technology is used for inspecting selected model parameter values, and model parameter values which pass through inspection are used as calibration results. The device comprises a flow allocation model calibration module, a road network data managing module, an automatic ticket selling and checking data storing module, an operation plan managing module and a network passenger flow distributing module, wherein the flow allocation model calibration module is connected with the road network data managing module, the automatic ticket selling and checking data storing module, the operation plan managing module and the network passenger flow distributing module. The method and device can improve accuracy of the rail transit passenger flow distributing model; model parameter calibration can be carried out based on urban rail transit system AFC data, and therefore waste of labor, material and financial resources due to the fact that a manual passenger flow investigation method is frequently used is avoided; due to the fact that the device can be integrated in an urban rail transit system as an automatic calibration module, the device can promote improvement of urban rail transit operation managing level.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and relates to an automatic calibration technology of rail transit passenger flow allocation model parameters. Background technique [0002] In recent years, urban rail transit has achieved rapid development in my country with its characteristics of large capacity, speed, punctuality and safety. The rail transit in Beijing, Shanghai, Guangzhou and other big cities has entered a new stage of networked operation and management. Passenger flow is the basis of urban rail transit network operation management. Scientific prediction and analysis of the distribution of passenger flow on the network is the solution to network operation coordination, train operation diagram compilation, reasonable fare clearing and liquidation, operational risk control and emergency response to emergencies. The premise and basis of a series of important issues. [0003] Under networked operating conditi...

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Problems solved by technology

[0004] Under the condition of urban rail transit network operation, due to the huge number of network passenger flow and the great difference in passenger travel behavior, the above-mentioned RP, SP and other parameter calibration methods based on manual passenger flow investigation need to spend a lot of manpower and material resources in the actual application and implementation process , financial resources, and there are great difficulties in terms of organization, sample selection, and statistical analysis of survey data, which leads to insufficient calibration of the passenger flow distribution model, resulting in the occurrence of passenger flow forecasts on local road sections. large deviation

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