An Optimal Method for Passenger Flow Control in Urban Rail Transit Based on Fluid Queuing Network

Abstract

The invention discloses a method for optimizing passenger flow control of urban rail transit based on a fluid queuing network, comprising the following steps: S1. Establishing an optimization model for passenger flow control of urban rail transit based on a fluid queuing network, including the following steps: S11. Obtaining passenger travel OD data , subway line parameters; S12, building urban rail transit fluid queuing network model; S13, determining passenger flow control decision variables; S14, determining passenger flow control constraint conditions; S15, constructing an optimization objective function; S2, solving the optimization model, including the following steps: S21 . Calculate the objective function of the population individual; S22. Determine whether the individual fitness meets the termination condition; if so, end; otherwise, proceed to the next step; S23. Perform selection, crossover and mutation processing. Based on the urban rail transit passenger flow control scheme, the present invention establishes a passenger flow control optimization model in combination with a fluid queuing network model, reducing the possibility of platform queuing overflow and queuing explosion.

Description

technical field [0001] The invention belongs to the technical field of traffic engineering, in particular to an urban rail transit passenger flow control optimization method based on a fluid queuing network. Background technique [0002] As my country's urbanization process continues to accelerate, the population density in cities is getting higher and higher. With the development of society and economy, the travel demand of the population continues to increase. In order to meet the growing transportation demand, the diversified transportation system in the city is constantly improving. It is precisely because of the increasing demand and dependence of passengers on urban rail transit that the mismatch between transport capacity and transport demand has become increasingly acute. Peak passenger flow congestion is a typical periodic congestion. Compared with sporadic congestion, its time, location, and intensity are relatively stable and closely related to travel demand. Th...

AI Technical Summary

Problems solved by technology

Relying on personal subjective experience, relying on professional knowledge and work experience, without systematic theoretical support, lack of reasonable calculation standards and lack of consideration for the service level of passenger travel; although passenger flow control optimization results at home and abroad have increased in recent years, most of them lack Detailed analysis of passenger flow characteristics

Moreover, the control methods are showing a trend of simplification, all of which are based on the consideration of passenger travel OD, and directly carry out passenger flow outside the station

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