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Breakdown in Traffic Networks

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Cover of 'Breakdown in Traffic Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction—The Reason for Paradigm Shift in Transportation Science
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    Chapter 2 Achievements of Empirical Studies of Traffic Breakdown at Highway Bottlenecks
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    Chapter 3 Nucleation Nature of Traffic Breakdown—Empirical Fundamental of Transportation Science
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    Chapter 4 Failure of Generally Accepted Classical Traffic Flow Theories
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    Chapter 5 Theoretical Fundamental of Transportation Science—The Three-Phase Theory
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    Chapter 6 Effect of Automatic Driving on Probability of Breakdown in Traffic Networks
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    Chapter 7 Future Automatic Driving Based on Three-Phase Theory
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    Chapter 8 The Reason for Incommensurability of Three-Phase Theory with Classical Traffic Flow Theories
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    Chapter 9 Time-Delayed Breakdown at Traffic Signal in City Traffic
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    Chapter 10 Theoretical Fundamental of Transportation Science—Breakdown Minimization (BM) Principle
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    Chapter 11 Maximization of Network Throughput Ensuring Free Flow Conditions in Network
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    Chapter 12 Minimization of Traffic Congestion in Networks
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    Chapter 13 Deterioration of Traffic System Through Standard Dynamic Traffic Assignment in Networks
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    Chapter 14 Discussion of Future Dynamic Traffic Assignment and Control in Networks
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    Chapter 15 Conclusions and Outlook
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    Chapter 16 Erratum to: The Reason for Incommensurability of Three-Phase Theory with Classical Traffic Flow Theories
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Citations

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Title
Breakdown in Traffic Networks
Published by
Springer-Verlag Berlin Heidelberg, January 2017
DOI 10.1007/978-3-662-54473-0
ISBNs
978-3-66-254473-0, 978-3-66-254471-6
Authors

Boris S. Kerner, Kerner, Boris S.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Student > Master 5 23%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Unspecified 1 5%
Other 2 9%
Unknown 3 14%
Readers by discipline Count As %
Engineering 12 55%
Computer Science 4 18%
Social Sciences 1 5%
Unspecified 1 5%
Unknown 4 18%

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