An optimization method and system for multi-line collaborative operation scheme of urban rail transit

Abstract

The invention discloses method and system for optimizing a multi-line collaborative operation scheme of urban rail transit. The method comprises the steps of counting road network characteristics of the existing urban rail transit road network, passenger flow characteristics, operation schedule characteristics of trains of each line and station characteristics; preparing urban rail transit multi-line collaborative operation simulation schemes; defining generalized passenger trip cost functions; building a passenger route selection probability model; calculating the passenger flow limiting quantity of each station in each simulation scheme; calculating the total passenger satisfaction of each simulation scheme; treating the simulation scheme corresponding to the top total passenger satisfaction as the optimal urban rail transit multi-line collaborative operation simulation scheme. According to the technical scheme, the method has the advantages that the limitation of static and independent preparation of passenger flow limiting strategy by the traditional single-line or single-station operation organization method can be overcome, and the problem of multi-line and multi-station dynamic collaborative passenger flow limiting can be solved.

Description

technical field [0001] The invention relates to an operation organization method of urban rail transit. More specifically, it relates to an optimization method and system for a multi-line coordinated operation scheme of urban rail transit. Background technique [0002] At present, there are not many studies on the multi-line and multi-station collaborative operation organization under the condition of large passenger flow in the subway. For the single-station flow limitation problem, the existing studies independently analyze the station, mainly considering the passenger flow control of the station's internal streamlines and equipment and facilities, and do not analyze the impact of the operation plan on the flow limitation of different stations from the perspective of the road network, so the road network cannot be solved. Coordination of medium-to-macro passenger flow; for single-line flow limitation, the existing research only considers the passenger flow of this line, b...

AI Technical Summary

Problems solved by technology

For the single-station flow limitation problem, the existing studies independently analyze the station, mainly considering the passenger flow control of the station's internal streamlines and equipment and facilities, and do not analyze the impact of the operation plan on the flow limitation of different stations from the perspective of the road network, so the road network cannot be solved. Coordination of medium-to-macro passenger flow; for single-line flow limitation, the existing research only considers the passenger flow of this line, but for the transfer station, the passenger flow also includes the transfer passenger flow of other lines, and when the operation plan changes, the passenger flow The route selection will also change, so it cannot truly reflect the dynamic passenger flow in the road network from a single-line perspective

At the same time, existing research mainly proposes qualitative operational organization methods from the policy level, lacking theoretical support and operational quantitative methods for formulating multi-site or multi-line collaborative organizations

[0003] On the other hand, most of the existing studies use empirical data in operation management for analysis, but the cost of obtaining data is high and the data is not universal. However, computer simulation methods can truly simulate the transfer of passenger flow in urban rail transit networks. situation, and the simulation scene can be set according to the actual situation

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