9781032199375 - urban freight analytics: big data, models, and artificial intelligence de taniguchi, eiichi; thompson, russell g.; qureshi, ali g. (18 resultados)

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    Condición: New. pages cm 1st edition Includes bibliographical references and index.

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    Paperback. Condición: New. Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.This bookPresents procedures for evaluating city logistics technologies and policy measuresProvides an overview of advanced modelling approaches, including agent-based model and machine learningHighlights the essential features of optimisation and simulation models applied to city logisticsDiscusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systemsThe book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.

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    Editorial: CRC Pr I Llc, 2025

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    Paperback. Condición: Brand New. 186 pages. 9.18x6.12x9.21 inches. In Stock.

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    Taschenbuch. Condición: Neu. Urban Freight Analytics | Big Data, Models, and Artificial Intelligence | Eiichi Taniguchi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | CRC Press | EAN 9781032199375 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: Taylor and Francis Ltd, GB, 2025

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    Paperback. Condición: New. Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.This bookPresents procedures for evaluating city logistics technologies and policy measuresProvides an overview of advanced modelling approaches, including agent-based model and machine learningHighlights the essential features of optimisation and simulation models applied to city logisticsDiscusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systemsThe book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.

  • Idioma: Inglés

    Editorial: CRC Press Jun 2025, 2025

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.This bookPresents procedures for evaluating city logistics technologies and policy measuresProvides an overview of advanced modelling approaches, including agent-based model and machine learningHighlights the essential features of optimisation and simulation models applied to city logisticsDiscusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systemsThe book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists. 188 pp. Englisch.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, London, 2025

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    Paperback. Condición: new. Paperback. Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.This bookPresents procedures for evaluating city logistics technologies and policy measuresProvides an overview of advanced modelling approaches, including agent-based model and machine learningHighlights the essential features of optimisation and simulation models applied to city logisticsDiscusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systemsThe book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists. ICT, IoT. AI, AVs, and robots, can be used with data to model, plan and evaluate an efficient and sustainable urban freight transport system, using tools such as the Physical Internet and dynamic road pricing. With global case studies this forms a graduate textbook and a reference for urban planning and logistics management practitioners. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Idioma: Inglés

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Urban Freight Analytics examines the key concepts associated with the development and application of decision support tools for evaluating and implementing city logistics solutions. New analytical methods are required for effectively planning and operating emerging technologies including the Internet of Things (IoT), Information and Communication Technologies (ICT), and Intelligent Transport Systems (ITS).The book provides a comprehensive study of modelling and evaluation approaches to urban freight transport. It includes case studies from Japan, the US, Europe, and Australia that illustrate the experiences of cities that have already implemented city logistics, including analytical methods that address the complex issues associated with adopting advanced technologies such as autonomous vehicles and drones in urban freight transport.Also considered are future directions in urban freight analytics, including hyperconnected city logistics based on the Physical Internet (PI), digital twins, gamification, and emerging technologies such as connected and autonomous vehicles in urban areas. An integrated modelling platform is described that considers multiple stakeholders or agents, including emerging organisations such as PI companies and entities such as crowd-shippers as well as traditional stakeholders such as shippers, receivers, carriers, administrators, and residents.This bookPresents procedures for evaluating city logistics technologies and policy measuresProvides an overview of advanced modelling approaches, including agent-based model and machine learningHighlights the essential features of optimisation and simulation models applied to city logisticsDiscusses how models incorporating more uncertainty and dynamic data can be used to improve the sustainability and resilience of urban freight systemsThe book is ideal for graduate students in civil and environmental engineering and logistics management, urban planners, transport engineers, and logistics specialists.

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Eiichi Taniguchi is a Professor Emeritus of Kyoto University, Japan. He has performed research on transport and logistics systems focusing on city logistics for sustainable, liveable and resilient cities. He is a founder and President of.