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Urban freight analytics : big data, models, and artificial intelligence

[NT 42944] Record Type:	[NT 1579] Language materials, printed : [NT 40817] monographic
[NT 47348] Title Information:	big data, models, and artificial intelligence
[NT 47261] Author:	TaniguchiEiichi,
[NT 47353] Alternative Intellectual Responsibility:	QureshiAli G.,
[NT 47353] Alternative Intellectual Responsibility:	ThompsonRussell G., 1962-
[NT 47351] Place of Publication:	Boca Raton
[NT 47263] Published:	CRC Press, Taylor & Francis Group;
[NT 47352] Year of Publication:	2024
[NT 47264] Description:	xv, 170 p.ill. : 24 cm.;
[NT 47266] Subject:	Artificial intelligence - Data processing. -
[NT 47266] Subject:	Big data. -
[NT 47266] Subject:	Freight and freightage - Planning -
[NT 47266] Subject:	Urban transportation - Data processing -
[NT 47266] Subject:	Urban transportation - Mathematical models. -
[NT 51398] Summary:	"The emerging technologies of Information and Communication Technologies, Internet of Things, artificial intelligence, autonomous vehicles, and robots and drones, plus collaboration among stakeholders, can be used with data to model, plan and evaluate an efficient and sustainable urban freight transport system. This can incorporate the Physical Internet, autonomous vehicles, delivery robots, and dynamic road pricing and can manage network disruption. With case studies from several global cities, this book forms a graduate textbook in transport and logistics, and a reference for urban planning and logistics management practitioners."-- Provided by publisher.
[NT 50961] ISBN:	1-032-19936-9bound
[NT 50961] ISBN:	978-1-032-19936-8bound
[NT 60779] Content Note:	Part 1. Methods 1. Introduction 2. Data collection and analyses 3. Geographic information systems and Spatial Analysis 4. Optimisation 5. Multi-agent simulation with machine learning 6. Reliability and resilience 7. Evaluation part 2. Applications 8. Autonomous vehicles and robots 9. Access management and pricing 10. Environmental sustainability 11. Disruption of networks 12. Future directions.

Urban freight analytics : big data, models, and artificial intelligence
Taniguchi, Eiichi

Urban freight analytics : big data, models, and artificial intelligence / Eiichi Taniguchi, Russell G. Thompson, Ali G. Qureshi - Boca Raton : CRC Press, Taylor & Francis Group, 2024. - xv, 170 p. ; ill. ; 24 cm..
Part 1. Methods.
Includes bibliographical references and index..
ISBN 1-032-19936-9ISBN 978-1-032-19936-8
Artificial intelligenceBig data.Freight and freightageUrban transportationUrban transportation -- Data processing. -- Planning -- Data processing -- Mathematical models.

Qureshi, Ali G.

Urban freight analytics : big data, models, and artificial intelligence
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330 0 $a "The emerging technologies of Information and Communication Technologies, Internet of Things, artificial intelligence, autonomous vehicles, and robots and drones, plus collaboration among stakeholders, can be used with data to model, plan and evaluate an efficient and sustainable urban freight transport system. This can incorporate the Physical Internet, autonomous vehicles, delivery robots, and dynamic road pricing and can manage network disruption. With case studies from several global cities, this book forms a graduate textbook in transport and logistics, and a reference for urban planning and logistics management practitioners."-- Provided by publisher.
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