Urban rail transit passenger flow control optimization method based on fluid queuing network

Abstract

The invention discloses an urban rail transit passenger flow control optimization method based on a fluid queuing network, and the method comprises the following steps: S1, building an urban rail transit passenger flow control optimization model based on the fluid queuing networkm, including: S11, obtaining passenger travel OD data and subway line parameters; s12, constructing an urban rail transit fluid queuing network model; s13, determining a passenger flow control decision variable; s14, determining passenger flow control constraint conditions; s15, constructing an optimization objective function; S2, solving the optimization model, including: S21, calculating a population individual objective function; s22, judging whether the individual fitness meets a termination condition or not; if yes, ending; otherwise, performing the next step; and S23, performing selection, crossover and variation processing. On the basis of an urban rail transit passenger flow control scheme, a passenger flow control optimization model is established in combination with a fluid queuing network model, and the possibility of platform queuing overflow and queuing explosion is reduced.

Description

technical field [0001] The invention belongs to the technical field of traffic engineering, in particular to a method for optimizing passenger flow control in urban rail transit 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 social 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 reliance 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. The m...

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

And the control means presents a trend of simplification, all of which are considered from the perspective of passenger travel OD, and directly carry out passenger flow outside the station

Images