Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-Scale Events

Jian Chu Kang; Song Song Pang; Yan Zhang

doi:10.4028/www.scientific.net/AMR.765-767.625

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Study of the Intelligent Analysis and Prediction...

Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-Scale Events

Abstract:

Through analysis of historical data of subway transportation, use the model extracted from the law of normal and large-scale activities’ passenger traffic flow and combine the pattern library established by large-scale events’ attribute information, this paper describes a method that provides a way to forecast the subway traffic passenger flow when a large-scale activity will happen. Before the occurrence of large-scale activities,We analysis and forecast the in and out passenger flow for the stations ,which around the place where the large-scale activity will happen ,and the entire road network which could describe the effect of this activity to the whole network .This system able to provide passengers with a travel reference to ensure the travel speed, security and comfort, and provide an important basis for the traffic management department to realize the effective real-time scheduling .

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

625-629

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.625

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Online since:

September 2013

Authors:

Jian Chu Kang, Song Song Pang, Yan Zhang

Keywords:

Forecast, Intelligent Analysis, Large-Scale Events, Subway Traffic Flow Data

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References

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