Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining

E. Levner, A. Ceder, A. Elalouf, Y. Hadas, D. Shabtay

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

3 Scopus citations

Abstract

The main goal of this paper is to develop a general methodology for both pinpointing the weak elements of public transportation (PT) systems and finding least-cost solutions for improvements. The methodology is based on network routing, scheduling, and real-time control algorithms. These algorithms detect deficiencies and failures of the PT network and in operations planning. The main practical objective and challenge of this work is to provide a decision-support system for the prognosis and detection of the deficiencies of the PT network and measures required to their remedy. The system is based on off- and online algorithms and methods associated with multi-agent systems.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Pages694-698
Number of pages5
DOIs
StatePublished - 1 Dec 2011
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, Singapore
Duration: 6 Dec 20119 Dec 2011

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Country/TerritorySingapore
CitySingapore
Period6/12/119/12/11

Keywords

  • decision support system
  • failure detection
  • mobile agents
  • public transportation
  • transport network

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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