Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation

Explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change by focusing on applied soft computing techniques, artificial intelligence, and algorithms for fuzzy systems. Researchers and professionals will find actionable information on mitigating congestion and emissions through sustainable mobility initiatives, which bridges the gap between theory and real-world practice.

The book also offers technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options. The book highlights innovative models and frameworks for analyzing mobility options and planning sustainable transport systems. It is an essential resource for researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences who aim to redesign city transportation to reduce environmental impact and carbon emissions.

Provides an overview of the most recent advances in the development of decision support systems for the implementation of sustainable urban mobility

Presents various urban mobility applications using artificial intelligence, applied soft computing techniques, and other decision support systems

Offers solutions for the design, development, and integration of sustainable urban transport options