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Understanding real trafficparadigm s...
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Kerner, Boris S.
Understanding real trafficparadigm shift in transportation science /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Understanding real trafficby Boris S. Kerner.
其他題名:
paradigm shift in transportation science /
作者:
Kerner, Boris S.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xix, 243 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Traffic flow.
電子資源:
https://doi.org/10.1007/978-3-030-79602-0
ISBN:
9783030796020
Understanding real trafficparadigm shift in transportation science /
Kerner, Boris S.
Understanding real traffic
paradigm shift in transportation science /[electronic resource] :by Boris S. Kerner. - Cham :Springer International Publishing :2021. - xix, 243 p. :ill., digital ;24 cm.
Chapter 1. Introduction -- Chapter 2. Basic Empirical Features of Real Traffic -- Chapter 3. How can Empirical Spatiotemporal Traffic Dynamics be Reconstructed through Traffic Measurements? -- Chapter 4. Understanding Real Traffic Breakdown -- Chapter 5. Empirical Induced Traffic Breakdown-Origin of Paradigm Shift in Traffic Science -- Chapter 6. Myth about "Moving Jam without Obvious Reason" -- Chapter 7. Can Autonomous Driving Improve Traffic? -- Chapter 8. Conclusions: Kuhn's Structure of Scientific Revolutions in Application to Transportation Science.
This book addresses the reader interested in vehicular traffic phenomena, who have not learned about them before. It presents traffic phenomena like traffic breakdown and the emergence of moving traffic jams by showcasing empirical traffic data measured in real-world traffic. The author explains how these empirical traffic studies have led to the three-phase traffic theory and why this new theory is in conflict with standard traffic theories developed before. Moreover, he presents the reason for the failure of applications of standard traffic theories in real-world traffic and discusses why understanding real traffic has caused a paradigm shift in traffic and transportation science. The book examines why understanding real traffic breakdown is the basis for an explanation for the autonomous driving effects on traffic flow. It shows that understanding real traffic is possible from real-world traffic data without the need of mathematical traffic models. This makes the book intuitive for non-specialists, who can qualitatively understand all the basic features of traffic dynamics. In turn, experienced traffic researchers can grasp concepts and ideas made here easily accessible by the author, one of the leading pioneers in the field of vehicular traffic.
ISBN: 9783030796020
Standard No.: 10.1007/978-3-030-79602-0doiSubjects--Topical Terms:
376807
Traffic flow.
LC Class. No.: HE336.T7 / K47 2021
Dewey Class. No.: 388.31
Understanding real trafficparadigm shift in transportation science /
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Chapter 1. Introduction -- Chapter 2. Basic Empirical Features of Real Traffic -- Chapter 3. How can Empirical Spatiotemporal Traffic Dynamics be Reconstructed through Traffic Measurements? -- Chapter 4. Understanding Real Traffic Breakdown -- Chapter 5. Empirical Induced Traffic Breakdown-Origin of Paradigm Shift in Traffic Science -- Chapter 6. Myth about "Moving Jam without Obvious Reason" -- Chapter 7. Can Autonomous Driving Improve Traffic? -- Chapter 8. Conclusions: Kuhn's Structure of Scientific Revolutions in Application to Transportation Science.
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This book addresses the reader interested in vehicular traffic phenomena, who have not learned about them before. It presents traffic phenomena like traffic breakdown and the emergence of moving traffic jams by showcasing empirical traffic data measured in real-world traffic. The author explains how these empirical traffic studies have led to the three-phase traffic theory and why this new theory is in conflict with standard traffic theories developed before. Moreover, he presents the reason for the failure of applications of standard traffic theories in real-world traffic and discusses why understanding real traffic has caused a paradigm shift in traffic and transportation science. The book examines why understanding real traffic breakdown is the basis for an explanation for the autonomous driving effects on traffic flow. It shows that understanding real traffic is possible from real-world traffic data without the need of mathematical traffic models. This makes the book intuitive for non-specialists, who can qualitatively understand all the basic features of traffic dynamics. In turn, experienced traffic researchers can grasp concepts and ideas made here easily accessible by the author, one of the leading pioneers in the field of vehicular traffic.
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