A Data-Driven Cooperative Current Limiting Method for Urban Rail Transit Network

Abstract

An embodiment of the present invention provides a data-driven urban rail transit road network collaborative current limiting method, comprising the following steps: S1, classifying the urban rail transit road network and station evaluation indicators, and identifying key current limiting station sets; S2, Constructing a collaborative current-limiting model of the urban rail transit network based on the set of key current-limiting stations; S3, solving the collaborative current-limiting model of the rail transit network based on the Q-learning learning algorithm, and outputting the current-limiting intensity corresponding to each key current-limiting station. The invention provides effective method support for formulating passenger flow limiting schemes in subway stations, and provides effective theoretical basis for formulating passenger flow control strategies.

Description

technical field [0001] The invention relates to the technical field of rail transit current limiting, in particular to a data-driven urban rail transit road network collaborative current limiting method. Background technique [0002] As the operating lines of urban rail transit become longer and longer, the network density of urban rail transit is getting higher and higher, and the trend of networked operation of urban rail transit is becoming more and more obvious, which brings complex operation organization and heavy hub load And challenges such as high passenger flow intensity are bound to become safety issues that urgently need to be addressed and studied. Station flow limitation is an effective emergency management measure to relieve passenger flow pressure and hub load. At present, in actual operation management, the determination of flow limitation period, flow limitation station and flow limitation intensity usually depends on the manager's experience, and the decisi...

AI Technical Summary

Problems solved by technology

Station flow limitation is an effective emergency management measure to relieve passenger flow pressure and hub load. At present, in actual operation management, the determination of flow limitation period, flow limitation station and flow limitation intensity usually depends on the experience of managers, and the decision-making has certain subjectivity, lack of science

In addition, the current research on station flow limitation does not comprehensively consider the passenger flow of the entire rail transit network, so it cannot make the rail transit system as a whole optimal.

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