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Springer Optimization and Its Applications #3: Optimization in Public Transportation: Stop Location, Delay Management and Tariff Zone Design in a Public Transportation Network

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Springer Optimization and Its Applications #3: Optimization in Public Transportation: Stop Location, Delay Management and Tariff Zone Design in a Public Transportation Network Cover

 

Synopses & Reviews

Publisher Comments:

Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented point of view. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects. An appendix summarizes some of the basics of optimization needed to interpret the material in the book. In detail, the topics the book covers in its three parts are as follows: 1. Stop location. Does it make sense to open new stations along existing bus or railway lines? If yes, in which locations? The problem is modeled as a continuous covering problem. To solve it the author develops a finite dominating set and shows that efficient methods are possible if the special structure of the covering matrix is used. 2. Delay management. Should a train wait for delayed feeder trains or should it depart in time? The author builds up two different integer programming models and a model based on project planning methods. Properties and solution methods are developed. 3. Tariff planning. Part 3 deals with the design of zone tariff systems, in which the fare is determined by the number of zones used by the passengers. The author presents a model for this problem and approaches based on clustering theory. Audience This book is intended for operations research graduate students and researchers interested in a practical introduction to integer programming and algorithms.

Synopsis:

This book develops models, results and algorithms for optimizing public transportation from a customer-oriented viewpoint. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects: location of stops, management of delay, and tariff zone design. An appendix summarizes some of the basics of optimization needed to interpret the material in the book.

Synopsis:

Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented point of view. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects. An appendix summarizes some of the basics of optimization needed to interpret the material in the book.

In detail, the topics the book covers in its three parts are as follows:

1. Stop location. Does it make sense to open new stations along existing bus or railway lines? If yes, in which locations? The problem is modeled as a continuous covering problem. To solve it the author develops a finite dominating set and shows that efficient methods are possible if the special structure of the covering matrix is used.

2. Delay management. Should a train wait for delayed feeder trains or should it depart in time? The author builds up two different integer programming models and a model based on project planning methods. Properties and solution methods are developed.

3. Tariff planning. Part 3 deals with the design of zone tariff systems, in which the fare is determined by the number of zones used by the passengers. The author presents a model for this problem and approaches based on clustering theory.

Table of Contents

Preface.- 1. Customer-oriented traffic planning.- PART I. STOP LOCATION.- 2. Introduction.- 3. Covering all demand points.- 4. Bicriterial stop location.- 5. Extensions.- PART II. DELAY MANAGEMENT.- 6. Introduction.- 7. Delay management with fixed connections.- 8. Minimizing the sum of all delays.- 9. The bicriterial delay management problem.- 10. Extensions.- PART III. TARIFF PLANNING.- 11. Introduction.- 12. Finding zones and zone prices.- Appendix A. Frequently used notation.- Appendix B. List of the main problems.- Appendix C. Integer programming.- Appendix D. Bicriterial optimization.- Appendix E. Gauges as distance measures.- Index.

Product Details

ISBN:
9780387328966
Author:
Schobel, Anita
Publisher:
Springer
Author:
Schbel, Anita
Author:
Schc6bel, Anita
Author:
Schvbel, Anita
Subject:
Computer Science
Subject:
Linear Programming
Subject:
Mathematical models
Subject:
Local transit
Subject:
Programming - Algorithms
Subject:
Local transit -- Mathematical models.
Subject:
Combinatorial optimization
Subject:
Operations Research
Subject:
Public Transportation
Subject:
OPTIMIZATION
Subject:
Operations Research, Management Science
Subject:
Algorithms
Subject:
Operations Research/Decision Theory
Subject:
Algorithm Analysis and Problem Complexity <P>Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented viewpoint. The methods used are based on graph-theor
Subject:
Mathematics-Computer
Subject:
Applied
Subject:
Algorithm Analysis and Problem Complexity
Subject:
Operation Research/Decision Theory
Copyright:
Edition Description:
Book
Series:
Springer Optimization and Its Applications
Series Volume:
03
Publication Date:
20061031
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
282
Dimensions:
235 x 155 mm 1280 gr

Related Subjects

Business » Business Plans
Business » General
Business » Management
Business » Writing
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » Algorithms
Engineering » Civil Engineering » Transportation
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Computer

Springer Optimization and Its Applications #3: Optimization in Public Transportation: Stop Location, Delay Management and Tariff Zone Design in a Public Transportation Network New Hardcover
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$139.00 In Stock
Product details 282 pages Springer - English 9780387328966 Reviews:
"Synopsis" by , This book develops models, results and algorithms for optimizing public transportation from a customer-oriented viewpoint. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects: location of stops, management of delay, and tariff zone design. An appendix summarizes some of the basics of optimization needed to interpret the material in the book.
"Synopsis" by , Customer-Oriented Optimization in Public Transportation develops models, results and algorithms for optimizing public transportation from a customer-oriented point of view. The methods used are based on graph-theoretic approaches and integer programming. The specific topics are all motivated by real-world examples which occurred in practical projects. An appendix summarizes some of the basics of optimization needed to interpret the material in the book.

In detail, the topics the book covers in its three parts are as follows:

1. Stop location. Does it make sense to open new stations along existing bus or railway lines? If yes, in which locations? The problem is modeled as a continuous covering problem. To solve it the author develops a finite dominating set and shows that efficient methods are possible if the special structure of the covering matrix is used.

2. Delay management. Should a train wait for delayed feeder trains or should it depart in time? The author builds up two different integer programming models and a model based on project planning methods. Properties and solution methods are developed.

3. Tariff planning. Part 3 deals with the design of zone tariff systems, in which the fare is determined by the number of zones used by the passengers. The author presents a model for this problem and approaches based on clustering theory.

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