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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Sprache: Englisch
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
Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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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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Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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In den WarenkorbPaperback. Zustand: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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EUR 25,86
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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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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.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
Anbieter: California Books, Miami, FL, USA
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Sprache: Englisch
Verlag: INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839530251 ISBN 13: 9781839530258
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Zustand: 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.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Sprache: Deutsch
Verlag: Shanghai Book Store Publ. House, 2003
Anbieter: Borkert, Schwarz und Zerfaß GbR, Berlin, Deutschland
Zustand: Sehr gut. 352 S., zahlr. Abb. Gutes Ex. - Yang Keyang; Yan Han; Rong Ge; Lu Zhiping; He Saibang; Zhang Enli; Gu Zhijun; Guo Haiping; Markus Wanger; Chen Junde; Ming Jing; Xin Xiong; Yang Canjun; Jin Yangping; Wang Yongliang; Mu Zi; Wei Ben; He Jialin; Zhang Gumin; Chen Lei; Wang Zan; Yuan Jinhua; Miao Zaixin; Kong Weike; Yuan Wu; Liu Mu; Liu Yan; Wang Shouqing; Yan Bo; Ou Zou; Chen Ke; Hui Xin; Zhou Lu; Wang Yichu; Li Geye; Qiu Jia; Zhao Weilang; Käthe Kollwitz; Günter Grass; Hermann Hesse; Rupprecht Geiger; Chjristo + Jeanne Claude; Roland Specker; Gabriela Ahrens; Nils Grossien; Gabriela von Lutzau; Christoph Meyer; Jorge Falco; Lyne Marshall (u.v.a.m.) Sprache: Deutsch Gewicht in Gramm: 800 Fadengehefteter Originalpappband.
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EUR 143,18
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hardcover. Zustand: Fine.