Rail passenger flow congestion risk evaluation method based on entropy weight

Abstract

The invention discloses a rail passenger flow congestion risk evaluation method based on an entropy weight. The method comprises: acquiring monitoring values of two characteristic indexes, namely an in-out station passenger flow volume and a load factor, of a rail station section at different durations; respectively nondimensionalizing a forward index and a reverse index by utilizing different membership functions, uniformly transforming an evaluation value of each index to be a quantified numeric value in a range [0, 1], and eliminating nondimensionalization influence; calibrating model parameters by taking maximum values of the indexes within the statistic time as input values of a model; and calculating weights of different evaluation indexes in the model according to an entropy weight method, clustering risk evaluation, and partitioning grades of rail passenger network passenger flow congestion five-stage risk. The method provided by the invention constructs a rail passenger network operation passenger flow congestion risk evaluation model and quantitatively evaluates the whole rail passenger network operation passenger flow congestion risk based on the in-out station passenger flow volume and the load factor of the rail station section.

Description

technical field [0001] The invention relates to an entropy weight-based risk evaluation method for rail passenger flow congestion, which belongs to the field of public transportation data application and service evaluation. Background technique [0002] At present, road congestion, vehicle congestion, and traffic disorder are common in large and medium-sized cities in my country, which have become the "bottleneck" problem of urban development. With the rapid development of my country's urban scale and economic construction, the urbanization process is gradually accelerating, the urban population is increasing sharply, a large number of floating population is pouring into the city, frequent personnel travel and material exchanges, the traffic demand is increasing sharply, and the contradiction between urban traffic supply and demand is becoming increasingly tense. . Developing a public transportation system with rail transit as the backbone and conventional buses as the main ...

AI Technical Summary

Problems solved by technology

[0004] (1) Due to the characteristics of urban rail transit, such as concentrated passenger flow, limited space, closed operation, and narrow passages, accidents such as fires, signal failures, derailments, power outages, and passenger falls in rail transit, as well as accidents caused by major holidays and social activities The sudden and high-intensity passenger flow will easily cause major safety accidents and bring about a relatively large negative social impact

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