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AFC (Automatic Fare Collection system) data based urban rail transportation real-time passenger flow prediction method and system

A technology for urban rail transit and rail transit road network, applied in the field of intelligent transportation, which can solve the problems of AFC manufacturers' diversity AFC real-time passenger flow data transmission mechanism is not perfect, the accuracy and real-time performance of AFC real-time passenger flow data is poor, etc.

Inactive Publication Date: 2016-01-06
BEIJING TRANSPORTATION INFORMATION CENT
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method and system for predicting real-time passenger flow of urban rail transit based on AFC data, so as to solve the problems of the diversity of AFC manufacturers existing in the prior art and the imperfect transmission mechanism of AFC real-time passenger flow data which causes AFC real-time The accuracy and real-time performance of passenger flow data are poor, and there is no real-time passenger flow prediction technology for urban rail transit in the existing technology

Method used

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  • AFC (Automatic Fare Collection system) data based urban rail transportation real-time passenger flow prediction method and system
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  • AFC (Automatic Fare Collection system) data based urban rail transportation real-time passenger flow prediction method and system

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Embodiment 1

[0056] see figure 1 As shown, a kind of urban rail transit real-time passenger flow prediction method based on AFC data that the embodiment of the present invention provides, comprises:

[0057] S1: Analyze the transmission process and data quality of AFC real-time passenger flow data, and establish an abnormal judgment and correction mechanism for AFC real-time passenger flow data;

[0058] S2: Obtain the AFC real-time passenger flow data of each site, and judge whether the AFC real-time passenger flow data is abnormal according to the established AFC real-time passenger flow data abnormality judgment and correction mechanism, and if so, correct the AFC real-time passenger flow data;

[0059] S3: According to the corrected AFC real-time passenger flow data within a certain operating period and the corresponding historical inbound volume of each station during the same period of operation, predict the inbound volume of each station within a certain operating period in the futu...

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Abstract

The present invention provides an AFC data based urban rail transportation real-time passenger flow prediction method and system, which are capable of improving the accuracy and real-time property of AFC real-time passenger flow prediction and the precision and visual degree of real-time passenger flow prediction. The method comprises: according to established AFC real-time passenger flow data abnormality determination and correction mechanism, determining whether acquired AFC real-time passenger flow data of each station is abnormal, and if so, performing correction; according to the corrected AFC real-time passenger flow data within a certain operating time period and a corresponding inbound amount within a same operating time period of a same historical period of each station, predicting an inbound amount of each station within a certain operating time period in the future; predicting OD (Origin Destination) distribution under each time granularity; and performing passenger flow allocation based on the predicted OD distribution amount under each time granularity, and establishing a forecasting and acknowledgement system for an urban rail transportation passenger flow real-time state, and an urban rail transportation real-time passenger flow analysis and decision system based on a B / S architecture. The AFC data based urban rail transportation real-time passenger flow prediction method and system provided by the present invention are applicable to the technical field of intelligent traffic.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a real-time passenger flow prediction method and system for urban rail transit based on AFC data. Background technique [0002] In recent years, with the gradual acceleration of my country's urbanization process and the rapid increase of urban population, the contradiction between transportation supply and transportation demand has become more and more prominent, and the urban transportation system has become more and more overwhelmed. Urban rail transit (hereinafter referred to as rail transit) ) as the backbone of urban transportation, the contradiction between the supply and demand of urban rail transit is particularly prominent. With the complexity of my country's urban rail transit network, the passenger flow of rail transit has grown rapidly. Taking Beijing as an example, rail transit has developed from 2 lines in 2000, with an operating mileage of 54km, a...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/30
Inventor 汪波黄建玲韩宝明
Owner BEIJING TRANSPORTATION INFORMATION CENT
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