Passenger Flow Prediction of Exhibition Based on ARMA

Ling Ling Chen; Pei Hua He; Lei Cao; Shu Guang Liu; Dan Ping Liu; Yun Jian Jia

doi:10.4028/www.scientific.net/AMM.667.11

Paper Titles

Preface and Conference Organization

Design and Implementation Virtual Reality Systems for Vocational Education
p.3

Electrical Marketing Application System Training's Auxiliary Means that Based on VBA
p.7

Passenger Flow Prediction of Exhibition Based on ARMA
p.11

The New Media Influence Ranking of Provincial Satellite TV Based on Fuzzy Math Method
p.16

Information-Based Entrepreneurship Related Fields of Research to Promote the Development of Strategic Emerging Industries
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The Research and Application of Intimacy in Microblog
p.26

Realization of Email Address Register Validation on Engineering Machinery Service Platform
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 667Passenger Flow Prediction of Exhibition Based on...

Passenger Flow Prediction of Exhibition Based on ARMA

Abstract:

In this paper,the means of WiFi was used to access to mobile phone MAC address to get passenger flow data and existing prediction methods were compared. Then N6 of Chongqing International Expo Exhibition Center was taken as the object of study and 5min was taken as the time interval to count N6 hall passenger flow from 9:00 am to 17:00 pm of 5 open days to obtain time series. At last, ARMA model was established to predict passenger flow of short time. The results show that the mean we use in this paper has high accuracy of prediction, MAE is 2.8771,and the means can be used for the passenger flow prediction of exhibition well.

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Periodical:

Applied Mechanics and Materials (Volume 667)

Pages:

11-15

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.667.11

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Online since:

October 2014

Authors:

Ling Ling Chen, Pei Hua He, Lei Cao, Shu Guang Liu, Dan Ping Liu, Yun Jian Jia

Keywords:

ARMA, Exhibition Industry, Short Term Forecast of Passenger Flow, Time Series

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References

[1] Yang Gu, Yin Han, Xueli Fang: Transport Information and Safety. 2 (2011), No. 29 (In Chinese).

Google Scholar

[2] Alirez Nafarieh, Jacek Ilow, 2008, IEEE CNSRC, lizing wireless LAN device using received signal strength.

Google Scholar

[3] CastroNeto M, Jeong Y S, Jeong M K, et al. Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions [J]. Expert systems with applications, 2009, 36(3): 6164-6173.

DOI: 10.1016/j.eswa.2008.07.069

Google Scholar

[4] Kai Liu, Wenquan Li, Jinhuan Zhao: Journal of Transportation Engineer and Information, Vol. 6 (2010), No. 2, p.8 (In Chinese).

Google Scholar

[5] Terasvorta T, van Dijk D, Medeiros M C. Linear models, smooth transition auto regression, and neural networks for forecasting MACroeconomic time series: a re-examination[J] . International Journal of Forecasting, 2005, 21(4): 755-775.

DOI: 10.1016/j.ijforecast.2005.04.010

Google Scholar

[6] HAO Y, ZHU H Y: Railway Transport and Economy, (31)2009, p.10(In Chinese).

Google Scholar