Model-based robust prediction of cumulative participant curve in large-scale events

Dixin Luo*, Rong Xie, Jia Wang, Wenjun Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a robust piecewise parametric model for predicting the cumulative number of participants in large-scale events. Based on the analysis of arriving patterns in such events, we establish parametric models for different periods and design an efficient fitting strategy to achieve model parameters from incomplete current data. Moreover, based on historical data, we can train parameters by neural network and get relation prior among parameters and data. With the help of relation prior, we can update the parameters of current data and achieve robust prediction for outlier. Simulation results on the database of Expo 2010 Shanghai show the good performance of our proposed method even in abnormal situations.

Original languageEnglish
Title of host publicationAdvances on Digital Television and Wireless Multimedia Communications - 9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012, Proceedings
Pages390-395
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012 - Shanghai, China
Duration: 9 Nov 201210 Nov 2012

Publication series

NameCommunications in Computer and Information Science
Volume331 CCI
ISSN (Print)1865-0929

Conference

Conference9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012
Country/TerritoryChina
CityShanghai
Period9/11/1210/11/12

Keywords

  • large-scale event
  • piecewise parametric model
  • relation prior
  • robust prediction

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