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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. …

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Zustand: Good. Has some wear and creases. Has a remainder mark. hardcover Used - Good 2021.

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Buch. Zustand: Neu. Neuware - 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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Paperback. Zustand: New. Based on a major research project undertaken by a team at the Institute of Market Economy, Development Research Center of the State Council of China, a project which included extensive survey research, and involved also many international scholars including researchers at the World Economic Forum Research Center and OECD, this book explores the possible future trajectories for urbanization in China. The book argues, drawing on examples from around the world, that technological advances have a huge impact on the exact nature of urbanization, and that institutions and policies have a significant role too, institutional arrangements such as modern education systems, patents and intellectual protection, and modern corporate systems. The book goes on to assess how current technological advances are likely to affect future urbanization and concludes by setting out how China should seize the opportunities from new technological advances and the associated transformation and upgrading of economic and social structures, and coordinate the development of "technology, factors of production, industry and institutions" as an integrated engine for high quality future urbanization.…

Zustand: 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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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. …

Paperback. Zustand: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.

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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. …

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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