Subway platform queuing passenger shunting method based on utility model

Abstract

The invention relates to a subway platform queuing passenger shunting method based on a utility model. The method comprises the following steps: acquiring the number of passengers in each queue area of a current station and the queuing condition of each queuing position in each queue area; determining a first density level of each queue area according to the number of passengers in each queue area; according to the queuing condition of each passenger in each queue area, determining the position grade difference of each queuing position of each queue area; according to the first density grade corresponding to each queue area and the position grade difference of each queue position, adopting a pre-constructed queue changing binomial Logit model to carry out analysis, and determining the signal intensity grade of each queue position of each queue area; according to the signal intensity grade of each queue position in each queue area, controlling a signal display device to display a reminding signal; and after the preset time interval, obtaining and analyzing the number of passengers in each queue area of the current station, adjusting the reminding signal, and improving the space-time resource utilization rate of the urban rail transit system.

Description

technical field [0001] The present application relates to the technical field of transportation planning, in particular to a utility model-based diversion method for queued passengers on a subway platform. Background technique [0002] By the end of 2019, a total of 40 cities in China had operated rail transit, with a total mileage of 6,730.3 kilometers, a year-on-year increase of 16.8%. The rapid development of urban rail transit has greatly promoted China's urban construction and improved the convenience of residents' travel, but it has also created a series of problems. The key factors restricting the further development of urban rail transit have gradually changed from construction scale to operational efficiency and service quality. During the peak period of passenger flow, the key factor to optimize the train operation scheduling is to shorten the stop time of the train to realize the encryption of the train diagram. However, the uneven distribution of passengers on t...

AI Technical Summary

Problems solved by technology

[0003] 1. Reduce the efficiency of train operation, resulting in a waste of time and space resources: Passengers queue unbalanced on the platform. For areas with more passengers in the queue, the time for getting on and off passengers is significantly longer than in areas with fewer passengers in the queue, which prolongs the stop time of the train. This increases the running time of the train and reduces the efficiency of the train; for areas with fewer passengers in line, the passenger flow is small and the passenger flow exchange is fast, which will lead to idle and waste of space-time resources

[0004] 2. Affect the travel experience of passengers and easily lead to safety accidents: it is time-consuming and laborious for passengers to get on and off the train in areas with high queuing density on the platform. At the same time, the internal environment of the carriages is very crowded, which will lead to a decline in passenger travel experience; in areas with high queuing density Getting on and off the bus in the area will also lead to more obvious conflicts in passenger flow lines, greater stress between passengers, and safety accidents such as friction, crowding, collisions, and stampedes are likely to occur

Such as artificial induction and semi-artificial induction, the relevant methods are not highly targeted and often require a lot of cost, and the effect obtained is relatively general

At present, there is no targeted, utility-based, and automatic induction method for diverting passengers in queues at platforms, which makes the utilization rate of space-time resources in urban rail transit systems low.

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