Urban rail transit passenger flow density index calculating method

Abstract

An urban rail transit passenger flow density index calculating method is a station, line and network density index calculating method for establishing different time grains on three levels of point, lines and faces. Comprehensively considering the density factors, influencing station density indexes, of key areas, a station density index model is obtained after a reasonable threshold value is set with the ratios of passenger flow of each area within different time durations to the total passenger flow as the weights according to the ratio of the weighting of management objects larger than the threshold value to the weighting of all management objects; comprehensively considering the influences of stations and intervals, a density index model on the level of lines is obtained through the weighted sum of different weights of the stations and the intervals, wherein the station part includes the ratio of the weighting of all stations, larger than the set threshold value, on the lines to the weighted sum of all the stations, and the interval part includes the average value of interval load factors of the intervals on the lines; a density index calculation model on the level of networks is obtained through weighting of density indexes of all the lines, wherein the weighting includes the ratio of the passenger flow of the lines and the passenger flow of the networks. By means of the method, the congestion conditions of the stations, the lines and the networks of an urban rail transit can be truly reflected.

Description

technical field [0001] The invention belongs to the field of urban rail transit, in particular to a calculation method for evaluating passenger flow congestion index of urban rail transit. Background technique [0002] With the rapid development of intelligent transportation systems, the road traffic congestion index has become an important means of road traffic management in many cities at home and abroad, and plays an increasingly important role in government decision-making and industry management. Beijing, Shanghai, Shenzhen and other cities have studied the road traffic congestion index with different definitions and different algorithms, and achieved good results after release. The concept of density is usually used to reflect the congestion degree of urban rail transit. There is not yet a mature system of achievements in this area at home and abroad, and there are not many studies on the density index of urban rail transit. [0003] After the rapid development of my ...

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Problems solved by technology

At present, there is still a lack of a macro-evaluation and analysis method for operational safety and management, and the congestion index has become a trend to meet the needs of this development

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