Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling

Constantinos Antoniou (Curatore)

Loukas Dimitriou (Curatore)

Elsevier - Health Sciences Division, 2026

Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, Second Edition provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing, and controlling mobility patterns—a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications, and concepts in mobility analysis and transportation systems. Fields covered are evolving rapidly, and this new edition updates existing material and provides new chapters that reflect recent developments in the field (such as the emergence of active, transfer and reinforcement learning). Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements, limitations for realistic transportation applications, and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

• Curatore: Constantinos Antoniou, Loukas Dimitriou
• Editore: Elsevier - Health Sciences Division
• Anno: 2026
• Rilegatura: Paperback / softback
• Pagine: 892 p.
• Dimensioni: 229 x 152 mm
• Peso: 450 gr.
• EAN: 9780443267895

Testo in English