Passenger volume prediction method of urban rail transit

A technology for urban rail transit and passenger flow, which is applied in the field of urban rail transit passenger flow prediction, can solve the problems of heavy model building workload, unfavorable urban rail transit management and scheduling, and low reuse rate of prediction models, etc., to achieve simplification Passenger Flow Forecast Process, Effects of Improving Calculation Speed ​​and Calculation Accuracy

Active Publication Date: 2018-06-22
CRRC IND INST CO LTD
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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

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  • Passenger volume prediction method of urban rail transit
  • Passenger volume prediction method of urban rail transit
  • Passenger volume prediction method of urban rail transit

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[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 passenger volume prediction method of urban rail transit. The passenger volume prediction method comprises the following steps: accounting OD (Origin-Destination) distributionmatrices based on current time of target rail transit lines; acquiring a passenger volume prediction model by building and using historical OD distribution matrix training of the target rail transitlines according to a prediction requirement; and predicting the passenger volume of specified road sections of the target rail transit lines in a prediction time period. According to the passenger volume prediction method of the urban rail transit disclosed by the invention, passenger volume prediction processes can be effectively simplified, calculation speed and calculation precision are improved, and a powerful support is provided for reasonably carrying out management and dispatching of transport in time.

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...

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Application Information

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