Passenger flow guiding method based on rail transit station plane structure

Abstract

According to the rail transit station plane structure-based passenger flow guiding method, a visibility graph algorithm is improved, and calculation requirements are reduced; quickly generating a starting point and terminal point selectable route set based on the plane structure chart; establishing a multi-target route optimization model for passenger flow guidance; and solving the multi-target route optimization model to obtain a passenger flow guiding scheme. Compared with other existing schemes, the method has the advantages that an improved viewable graph algorithm is used for quickly generating a starting point and terminal point optional route set, so that the time complexity is reduced; the established passenger flow guiding multi-target route optimization model considers comprehensive target points, so that the passenger flow guiding effect is optimal.

Description

technical field [0001] The invention belongs to the technical field of rail transit passenger flow guidance, and relates to a passenger flow guidance method based on the plane structure of rail transit stations. Background technique [0002] In recent years, with the continuous expansion of the scale of rail transit and the rapid increase in passenger flow, passenger congestion often occurs at key intersections in rail transit stations, which seriously affects the travel experience of passengers and the quality of station services. the above problems. [0003] At present, the research on passenger flow guidance of rail transit stations at home and abroad has begun to increase, but at this stage, rail transit stations have not yet formed a systematic passenger flow guidance strategy. The existing passenger flow guidance strategies include: passenger flow guidance strategies based on historical experience; There are guidance strategies for facility layout and passenger flow; ...

AI Technical Summary

Problems solved by technology

[0004] Disadvantages of the existing technology: (1) The empirical guidance strategy mainly judges the location of passenger flow congestion based on the platform carrying capacity and the full load rate of the train, and adopts guidance measures for passenger flow to avoid congestion at the station level. This type of method is relatively subjective and limited; (2) The heuristic guidance strategy combined with the existing facility layout and passenger flow is suitable for controlling the situation that the operating cost of the integrated rail transit hub station will no longer increase. It has strong applicability and is easy to implement, but the passenger flow control effect is still not ideal; (3) ) The mathematical planning strategy takes passenger flow congestion control at the line or road network layer as the research object, and theoretically establishes a multi-objective planning model for passenger flow guidance to optimize the effect of passenger flow guidance on lines or road networks, but the calculation requirements are high and the practicability is not strong. At the same time, the overall passenger flow balance of rail transit stations is seldom considered

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