Intelligent Urban Mobility

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, focusing on applied soft computing techniques, artificial intelligence, and fuzzy systems algorithms to help researchers and professionals seeking to mitigate congestion and emissions through sustainable mobility initiatives. Bridging theory and real-world practice, this book provides information on future studies to drive progress in redesigning city transportation to reduce environmental impact and carbon emissions, highlighting innovative models and frameworks for the analysis of mobility options and planning sustainable transport systems. Researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences interested in advancing sustainable urban mobility will find this to be a welcome reference offering technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options.

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