Paperback or Softback. Zustand: New. Information Security: Progress Made, But Federal Aviation Administration Needs to Improve Controls Over Air Traffic Control Systems. Book.
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ISBN 10: 1839530251 ISBN 13: 9781839530258
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In den WarenkorbHardback. Zustand: 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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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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Berlin, Springer 1993. X, 240 S., OPappband Gutes Exemplar.
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Sprache: Englisch
Verlag: Springer - Verlag, BERLIN, 1993
ISBN 10: 3540569502 ISBN 13: 9783540569503
Anbieter: Biblioteca di Babele, Tarquinia, VT, Italien
Zustand: BUONO USATO. Transportation Analysis INGLESE Legatura editoriale, copertina in robusto cartonato nero,titolata in bicromia, segnata da comuni sgualciture da scaffale alle punte e alle cuffie, ma comunque in ottime condizioni di conservazione, i fogli, appaiono imbruniti dal tempo, con maggiore intensita ai margini ciononostante risultano integri e perfettamente fruibili, il testo è impreziosito da 63 illustrazioni, da grafici e da tabelle, testo in lingua inglese. N. pag. 240.
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In den WarenkorbZustand: New. KlappentextThe BiblioGov Project is an effort to expand awareness of the public documents and records of the U.S. Government via print publications. In broadening the public understanding of government and its work, an enlightened democ.
Sprache: Englisch
Verlag: Tongji University Publishing Club Pub. Date :2007-, 1991
ISBN 10: 7560833969 ISBN 13: 9787560833965
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Soft cover. Zustand: New. Language:Chinese.Author:LANG ZONG YAN CENG XIAO QING JIANG JI SHENG.Binding:Soft cover.Publisher:Tongji University Publishing Club Pub. Date :2007-.
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In den WarenkorbPaperback. Zustand: New.
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In den WarenkorbZustand: New. pp. viii + 224 Illus.
Sprache: Englisch
Verlag: INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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In den WarenkorbZustand: 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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Zustand: New. pp. viii + 224.
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In den WarenkorbPaperback. Zustand: Brand New. illustrated edition. 204 pages. 9.60x6.60x0.46 inches. In Stock.
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Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Verlag: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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In den WarenkorbHardback. Zustand: 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.
Sprache: Englisch
ISBN 10: 7564300442 ISBN 13: 9787564300449
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Paperback. Pub Date: 2008 08 of Pages: 232 in Publisher: Southwest Jiaotong University Press. Journal of traffic information and control professional textbook series: railway signaling infrastructure. according to the development of railway signaling system introduced this scene the main foundation of China's railway signal the basic principles and application of the equipment. the book is divided into seven chapters. each depicting railway signaling. turnout conversion equipment. signal rela.
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: China Architecture & Building Press, 2024
ISBN 10: 7112304423 ISBN 13: 9787112304424
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Language:Chinese.Paperback.Pub Date:2024-12 Publisher:China Architecture & Building Press.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Hardback. Zustand: 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.