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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Hardback. Condition: New. Written by an international team of researchers, this book focuses on traffic information processing and signal control using emerging types of traffic data. It conveys advanced methods to estimate and predict traffic flows at different levels, including macroscopic, mesoscopic and microscopic. The aim of these predictions is to optimize traffic signal control for intersections and to mitigate ever-growing traffic congestion. The book begins with an introduction to the topic, its fundamental principles and recent developments. The first part of the book then covers the estimation and prediction of the traffic flow state based on emerging detailed data sources. Coverage in this section includes traffic analytics with online web data; macroscopic traffic performance indicators based on floating car data; short-term travel time prediction by deep learning a comparison of different LSTM-DNN models; short-term traffic prediction under disruptions using deep leaning; real time demand based traffic diversion; game theoretic lane change strategy for cooperative vehicles under perfect information; and cooperative driving and a lane change-free road transportation system. The second part focuses on traffic signal control optimization, explaining how to use improved data and advanced tools for better signal control. Chapters include urban traffic control systems; algorithms and models for signal coordination; emerging technologies to enhance traffic signal coordination practices; control for short-distance intersections; and multi-day evaluation of adaptive traffic signal system based on license plate recognition detector data. A valuable resource for researchers and engineers working in the field of traffic information and control, and intelligent transport systems, Traffic Information and Control offers an overview of recent research and practical approaches to optimising traffic signal control.
Language: English
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Language: English
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Published by INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Condition: New. Inhaltsverzeichnisrnrnn Chapter 1: Introductionn Part I: Modern traffic information technologyn Chapter 2: Traffic analytics with online web datan Chapter 3: Macroscopic traffic performance indicators based on f.
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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ISBN 10: 1839530251 ISBN 13: 9781839530258
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Buch. Condition: Neu. Traffic Information and Control | Ruimin Li (u. a.) | Buch | Gebunden | Englisch | 2021 | Institution of Engineering & Technology | EAN 9781839530258 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Hardback. Condition: New. Written by an international team of researchers, this book focuses on traffic information processing and signal control using emerging types of traffic data. It conveys advanced methods to estimate and predict traffic flows at different levels, including macroscopic, mesoscopic and microscopic. The aim of these predictions is to optimize traffic signal control for intersections and to mitigate ever-growing traffic congestion. The book begins with an introduction to the topic, its fundamental principles and recent developments. The first part of the book then covers the estimation and prediction of the traffic flow state based on emerging detailed data sources. Coverage in this section includes traffic analytics with online web data; macroscopic traffic performance indicators based on floating car data; short-term travel time prediction by deep learning a comparison of different LSTM-DNN models; short-term traffic prediction under disruptions using deep leaning; real time demand based traffic diversion; game theoretic lane change strategy for cooperative vehicles under perfect information; and cooperative driving and a lane change-free road transportation system. The second part focuses on traffic signal control optimization, explaining how to use improved data and advanced tools for better signal control. Chapters include urban traffic control systems; algorithms and models for signal coordination; emerging technologies to enhance traffic signal coordination practices; control for short-distance intersections; and multi-day evaluation of adaptive traffic signal system based on license plate recognition detector data. A valuable resource for researchers and engineers working in the field of traffic information and control, and intelligent transport systems, Traffic Information and Control offers an overview of recent research and practical approaches to optimising traffic signal control.
Language: English
Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Published by The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Published by INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | Written by an international team of researchers, this book focuses on traffic information processing and signal control using emerging types of traffic data. Traffic Information and Control is a valuable resource for researchers and engineers working in the field of traffic information and control, and intelligent transport systems.
Language: English
Published by Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. Written by an international team of researchers, this book focuses on traffic information processing and signal control using emerging types of traffic data. It conveys advanced methods to estimate and predict traffic flows at different levels, including macroscopic, mesoscopic and microscopic. The aim of these predictions is to optimize traffic signal control for intersections and to mitigate ever-growing traffic congestion. The book begins with an introduction to the topic, its fundamental principles and recent developments. The first part of the book then covers the estimation and prediction of the traffic flow state based on emerging detailed data sources. Coverage in this section includes traffic analytics with online web data; macroscopic traffic performance indicators based on floating car data; short-term travel time prediction by deep learning a comparison of different LSTM-DNN models; short-term traffic prediction under disruptions using deep leaning; real time demand based traffic diversion; game theoretic lane change strategy for cooperative vehicles under perfect information; and cooperative driving and a lane change-free road transportation system. The second part focuses on traffic signal control optimization, explaining how to use improved data and advanced tools for better signal control. Chapters include urban traffic control systems; algorithms and models for signal coordination; emerging technologies to enhance traffic signal coordination practices; control for short-distance intersections; and multi-day evaluation of adaptive traffic signal system based on license plate recognition detector data. A valuable resource for researchers and engineers working in the field of traffic information and control, and intelligent transport systems, Traffic Information and Control offers an overview of recent research and practical approaches to optimising traffic signal control.
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