Method for calculating waiting time and waiting people number of rail station

Abstract

The invention discloses a method for calculating the waiting time and the waiting people number of a rail station, and the method comprises the steps: calculating the station waiting time of a pull-instation according to the travel time of passengers and the operation time of a train; and estimating the number of waiting people on the station of the pull-in station. When passengers go out in theurban rail system, the travel time comprises three parts, namely the pull-in and pull-out walking time, the in-vehicle time and pull-in waiting time. For the starting point and the destination point of the same group, the train running time is constant, and the running time of passengers is different. the waiting people number only considers passengers waiting for the bus on the station are considered, and does not consider the situation that the passengers wander and cannot get on the bus due to personal reasons in the station. Based on a large amount of AFC data, real-time calculation of thewaiting time of each station of the rail system at different time periods is achieved, and the waiting people number at the station is determined according to the waiting time of each passenger. Themethod is simple in principle and easy to implement, and has good reference significance for passenger flow control and management of urban rail transit management departments.

Description

technical field [0001] The invention relates to the field of urban rail transit system management and monitoring, and proposes a data-driven urban rail transit network waiting time dynamic calculation method. This method relies only on AFC data and train timetables to calculate waiting times. Background technique [0002] With the rapid development of cities, the problem of traffic congestion is becoming more and more serious. In recent years, urban rail transit has become an important mode of transportation to alleviate traffic congestion by virtue of its large capacity, high reliability, safety, and convenience [1,2]. [0003] The distribution effect of large passenger flow in urban rail transit has put forward a severe test for the transportation management department. The most direct manifestation of large passenger flow is that the waiting time of passengers is prolonged, causing delays in boarding. Although the rail train has a large passenger capacity, it still cann...

AI Technical Summary

Problems solved by technology

[0005] To sum up, scholars at home and abroad have conducted simple to complex research on the waiting time of orbital stations, and have given calculation methods for station waiting time from different angles, but generally require manual investigation or support from multiple data sources

Today, with the rapid development of traffic and increasingly prominent traffic contradictions, the previous calculation and research methods with high complexity of data investigation, low timeliness, complex model calculation and low accuracy can no longer meet the needs. This requires a simple calculation and data acquisition method. A relatively easy and practical calculation method for station waiting time, providing a reference for rail passenger flow management

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