Urban Freight Analytics - Taniguchi, Eiichi

. .

Auteur(s) : Taniguchi, Eiichi - Thompson, Russell G. - Qureshi, Ali G.

Editeur : Crc Press

Langue : Anglais

Parution : 01/09/2023

Format : Moyen, de 350g à 1kg

Nombre de pages : 188

Expédition : 422

Dimensions : 24.0 x 16.1 x 1.5

ISBN : 1032199369

Résumé :

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.

Biographie:

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 Institute for City Logistics. He published 23 books and over 240 academic papers on urban freight transport and Intelligent Transport Systems. His recent research covers city logistics based on big data, artificial intelligence, autonomous vehicles, robots and the collaboration of stakeholders.

Russell G. Thompson is a Professor in Transport Engineering at the University of Melbourne where he leads the Physical Internet Lab. Russell was a founding Director and has been the Vice President of the Institute for City Logistics based in Kyoto since 1999. His research areas are City Logistics, Physical Internet (PI), resilient transport systems and intelligent transport systems. Russell has published over 15 books and 150 refereed publications in the field of urban freight.

Ali G. Qureshi is an associate professor in Department of Urban Management at Kyoto University, Japan. His research interests are related with exact and heuristics optimization of different variants of vehicle routing and facility location problems, and their integration in different frameworks such as multi-agent systems, and their application in evaluation of city logistics measures. He regularly contributes high quality research papers in leading international and regional (Asia-Pacific) journals and in peer reviewed conferences related with his areas of research.

Sommaire:

Part I. 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 II. Applications. 8. Autonomous Vehicles and Robots. 9. Access management and pricing. 10. Environmental sustainability. 11. Disruption of Networks. 12. Future directions.