Method for quantifying identification visible domain of urban rail transit station

Abstract

The invention provides a method for quantifying an identification visible domain of an urban rail transit station. The method comprises the following steps: dividing the farthest visible distance of an identifier into a plurality of intervals according to the geometric dimension of a structural facility of an urban rail transit station and an observation deviation angle, and constructing a pivot vector function of the farthest visible distance of the identifier of each interval according to a normal distribution regeneration theorem; setting a confidence level for identifying farthest visibledistance interval estimation, and performing interval estimation for marking the farthest visible distance by utilizing a pivot vector function under the confidence level; and introducing a pluralityof virtual variables to quantify the visible domain of the single identifier by taking the farthest visible distance of the single identifier as a dependent variable and the attribute factor of the identifier and the observation deviation angle as independent variables. The method can accurately calibrate and check the identification visible domain of the specified station facility structure and the specific attribute characteristic, accurately quantify the visible domain of the guide identification in the urban rail transit station, and evaluate whether the identification attribute and the identification setting mode adopted in the station are reasonable or not.

Description

technical field [0001] The invention relates to the technical field of urban rail transit, in particular to a method for quantifying the visible area of ​​an urban rail transit station sign. Background technique [0002] As the backbone network of urban transportation, the urban rail transit system has a large proportion of non-commuting and school passenger flows such as business and tourism. These passenger flows are not familiar with the streamline paths of the station facilities. At the same time, most of the stations are underground stations. The passenger flow cannot directly see the destination or target building on the ground, and the orientation is difficult to distinguish. It is necessary to rely on the guidance signs to determine the walking direction. Therefore, the quantification of the effective area of ​​the guide sign—the visible area of ​​the sign has great guiding significance for the selection of the sign, the way and the number of settings inside the stat...

AI Technical Summary

Problems solved by technology

[0006](1) There is a single factor to consider, and there is a lack of comprehensive research on related factors

There are many factors affecting the visible field of identification, but the existing research either considers a certain factor alone, or considers few factors, or ignores the interaction between factors, which makes the research results have certain limitations

[0007](2) There are few studies on the visible domain of urban rail transit station signs

Existing research mainly focuses on signs in buildings or road traffic signs, but there are few studies on the visible domain of signs in urban rail transit stations.

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