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

doi:10.1109/IEEM.2011.6118006

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

Ben-Gurion University of the Negev, Technion - Israel Institute of Technology, Bar-Ilan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	American English
Title of host publication	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Pages	694-698
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2011.6118006
State	Published - 1 Dec 2011
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, Singapore Duration: 6 Dec 2011 → 9 Dec 2011

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Country/Territory	Singapore
City	Singapore
Period	6/12/11 → 9/12/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

decision support system
failure detection
mobile agents
public transportation
transport network

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/IEEM.2011.6118006

Cite this

Levner, E., Ceder, A., Elalouf, A., Hadas, Y., & Shabtay, D. (2011). Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining. In IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 (pp. 694-698). Article 6118006 (IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2011.6118006

Levner, E. ; Ceder, A. ; Elalouf, A. et al. / Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining. IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011. 2011. pp. 694-698 (IEEE International Conference on Industrial Engineering and Engineering Management).

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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.",

keywords = "decision support system, failure detection, mobile agents, public transportation, transport network",

author = "E. Levner and A. Ceder and A. Elalouf and Y. Hadas and D. Shabtay",

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series = "IEEE International Conference on Industrial Engineering and Engineering Management",

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Levner, E, Ceder, A, Elalouf, A, Hadas, Y & Shabtay, D 2011, Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining. in IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011., 6118006, IEEE International Conference on Industrial Engineering and Engineering Management, pp. 694-698, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011, Singapore, Singapore, 6/12/11. https://doi.org/10.1109/IEEM.2011.6118006

Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining. / Levner, E.; Ceder, A.; Elalouf, A. et al.
IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011. 2011. p. 694-698 6118006 (IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - failure detection

KW - mobile agents

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KW - transport network

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BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011

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Levner E, Ceder A, Elalouf A, Hadas Y, Shabtay D. Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining. In IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011. 2011. p. 694-698. 6118006. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM.2011.6118006

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

Abstract

Publication series

Conference

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this