Application of Data Mining in the Forecasting of Railway Passenger Flow

Dan Zheng; Yao Wang; Peng Zhi Tang; Yan Ping Wu

doi:10.4028/www.scientific.net/AMR.834-836.958

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 834-836Application of Data Mining in the Forecasting of...

Application of Data Mining in the Forecasting of Railway Passenger Flow

Abstract:

This paper through studying the theory of data warehouse and data mining, applies these technologies to deal with the large number data in the Ticket Selling and Reserving System of Chinese Railway (TRS), uses the effective data mining to the passenger flow analysis, builds up the logical forecasting and analysis model. This paper firstly discusses the current situation and problems faced by forecasting of passenger flow, then applies the data warehouse technology to design the data mart of this subject. Next, samples and analyses this data which collecting in data mart adopting neural network method, builds data analysis model carrying out research and the experiment, finally puts forward a feasible forecast model for the passenger flow forecasting.

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Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

958-961

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.834-836.958

Citation:

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Online since:

October 2013

Authors:

Dan Zheng, Yao Wang, Peng Zhi Tang, Yan Ping Wu

Keywords:

Data Mining (DM), Data Warehouse, Railway Passenger Flow

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