A method for selecting a passenger car drop-off point at a T-shaped intersection

Abstract

The invention relates to a T-junction passenger car get-off point selection method. The method comprises the steps that (1) an Aw-Rascle crowd dynamic model is established; (2) on the basis of the Aw-Rascle crowd dynamic model, an influence matrix of an intersection area is introduced, an a T-junction crowd evacuation dynamic model is constructed; (3) based on the T-junction crowd evacuation dynamic model, a Gaussian distribution model of a T-junction crowd is constructed; and (4) set step length is used to change the position of a Gaussian distribution center of the Gaussian distribution model within the T-junction area, and a get-off point with a minimum tread risk is obtained through simulation. Compared with the prior art, the method has the advantages that an optimal large passenger car get-off point at a T-junction can be quickly obtained, and considered factors are more comprehensive.

Description

technical field [0001] The invention relates to a method for selecting a drop-off point for large passenger cars, in particular to a method for selecting a drop-off point for passenger cars at a T-shaped intersection. Background technique [0002] The T-junction is a high-incidence area for crowd stampede accidents, and the reasons for the accidents are in many cases due to the unreasonable introduction of new crowds. There is a high-risk area for stampede accidents at the intersection of T-shaped intersections, and the crowd density in this area is the highest. Reducing the crowd density in this area is the key to avoiding stampede accidents or reducing stampede accident casualties. So far, there is no relevant technology to accurately calibrate high-risk areas of the population. We can only roughly judge high-risk areas through experience. The passengers on the large bus on the branch road of the T-junction can be regarded as the crowd who are about to enter the intersect...

AI Technical Summary

Problems solved by technology

[0003] So far, there are still some deficiencies in the research on the selection method of large bus drop-off points at T-junctions: 1) There is no relevant technology for accurately marking high-risk areas for evacuated people

2) There is no relevant method to adjust the drop-off points of large buses to reduce the number of people in high-risk areas

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