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A method for predicting passenger flow in urban rail transit

An urban rail transit and passenger flow technology, which is applied in the field of urban rail transit passenger flow forecasting, can solve the problems of large workload of model building, unfavorable for timely management and scheduling of urban rail transit, and low reuse rate of prediction models, and achieves a high level of improvement. Calculation speed and calculation accuracy, the effect of simplifying the passenger flow forecasting process

Active Publication Date: 2021-03-16
CRRC IND INST CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the workload of model building is heavy, and the reuse rate of prediction models is low, which is not conducive to the timely management and scheduling of urban rail transit

Method used

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  • A method for predicting passenger flow in urban rail transit
  • A method for predicting passenger flow in urban rail transit
  • A method for predicting passenger flow in urban rail transit

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Embodiment Construction

[0024] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the embodiment of the present invention. Some, but not all, embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] As an example of an embodiment of the present invention, this embodiment provides a method for predicting passenger flow in urban rail transit, including: based on the current time period statistics of the target rail transit route OD distribution matrix, using the structural characteristics of the OD distribution matrix and passenger flow The data characteristi...

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Abstract

The invention provides a method for predicting urban rail transit passenger flow, which includes: based on the current time period statistical OD distribution matrix of the target rail transit route, establishing it according to the forecast demand, and using the historical OD distribution matrix training of the target rail transit route to obtain it. The passenger flow prediction model predicts the passenger flow of the specified section of the target rail transit route within a specified time period. The invention can effectively simplify the passenger flow prediction process, improve calculation speed and calculation accuracy, and provide strong support for timely and reasonable traffic management and dispatch.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, and more specifically, to a method for predicting passenger flow in urban rail transit. Background technique [0002] Rail transit has gradually become a hot spot in urban transportation construction due to its advantages such as low land use, large transport capacity, stable running time, safety and environmental protection. Europe, the United States, Japan and other countries and regions have done a lot of research on the research and development of rail transit systems, such as the DRIVE system in Europe, the TRAVTEK system in the United States, and the VICS system in Japan. These systems analyze the real-time changing road network traffic information through the on-board guidance device, calculate the optimal driving route, and rationally dispatch vehicles to achieve a balanced distribution of road network traffic flow and improve transportation efficiency. [0003] In the st...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/40
Inventor 田寅温博阁唐海川龚明咸晓雨王经纬
Owner CRRC IND INST CO LTD