Urban freight analytics big data, models, and artificial intelligence / Eiichi Taniguchi, Russell G. Thompson, and Ali G. Qureshi.

Contents Introduction -- Data collection and analyses -- Geographic Information Systems and Spatial Analysis -- Optimisation -- Multi-agent simulation with machine learning -- Reliability and resilience -- Evaluation -- Autonomous vehicles and robots -- Access Management and Pricing -- Environmental sustainability -- Disruption of networks -- Future Directions.
Abstract "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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2023010167
ISBN9781032199368 (hardback)
ISBN9781032199375 (paperback)
ISBN(ebook)

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