@inproceedings{f404bbcff98e4e58993bbce03a3ca4c7,
title = "Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining",
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",
year = "2011",
doi = "10.1109/ieem.2011.6118006",
language = "אנגלית",
isbn = "9781457707391",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
pages = "694--698",
booktitle = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011",
note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 ; Conference date: 06-12-2011 Through 09-12-2011",
}