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

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

Department of Management

Research output: Contribution to conference › Paper › 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
State	Published - 2011
Event	The IEEE Conference on Industrial Engineering and Engineering Management - Singapore Duration: 6 Dec 2011 → 9 Dec 2011

Conference

Conference	The IEEE Conference on Industrial Engineering and Engineering Management
City	Singapore
Period	6/12/11 → 9/12/11

The IEEE Conference on Industrial Engineering and Engineering Management
Hadas, Y. (Participation - Conference participant)
6 Dec 2011 → 9 Dec 2011
Activity: Participating in or organizing an event › Organizing a conference, workshop, ...

Cite this

@conference{42782d80483f432e9ff1dc0eccb128bc,

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.",

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

year = "2011",

language = "American English",

note = "The IEEE Conference on Industrial Engineering and Engineering Management ; Conference date: 06-12-2011 Through 09-12-2011",

}

TY - CONF

T1 - Detection and improvement of deficiencies and failures in public-transportation networks using agent-enhanced distribution data mining

AU - Levner, E

AU - Ceder, A

AU - Elalouf, A

AU - Hadas, Y

AU - Shabtay, D

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

M3 - Paper

T2 - The IEEE Conference on Industrial Engineering and Engineering Management

Y2 - 6 December 2011 through 9 December 2011

ER -

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

Abstract

Conference

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Activities

The IEEE Conference on Industrial Engineering and Engineering Management

Cite this