Population bursts management in digital city

Xiaojian Wang, Siyuan Liu, Ce Liu, Yanping Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we study a novel problem, population burst detection, one of the important issues related population monitoring and management within a city. Based on the detected population bursts, we can trace and analyze these bursts, which can help security departments to infer the cause of bursts and be prepared for the future possible bursts. Though it is useful, it is not trivial to detect population bursts, especially under the condition that we can hardly get the population samples within a city from time to time. To address the difficulties of lacking real population data, we take the advantage of communication networks, specifically, mobile phone networks, which offer enormous communication data between peoples. Most importantly, we find the fact that we can use these communication data to infer the population samples. Therefore, we propose an effective and efficient algorithm to detect bursts over call volumes. We verify the performance of our proposed mechanism with an onsite case study and real calling data.

Original languageEnglish (US)
Title of host publicationAdvances in Automation and Robotics, Vol. 2 - Selected Papers from the 2011 International Conference on Automation and Robotics, ICAR 2011
Pages397-406
Number of pages10
DOIs
StatePublished - 2011
Event2011 International Conference on Automation and Robotics, ICAR 2011 - Dubai, United Arab Emirates
Duration: Dec 1 2011Dec 2 2011

Publication series

NameLecture Notes in Electrical Engineering
Volume123 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2011 International Conference on Automation and Robotics, ICAR 2011
CountryUnited Arab Emirates
CityDubai
Period12/1/1112/2/11

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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