Computational Intelligence in Urban Infrastructure 1st Edition

Boldly reimagining city design, Computational Intelligence in Urban Infrastructure 1st Edition by Vinod Kumar Shukla is a timely roadmap for engineers, planners, and policymakers seeking data-driven solutions for modern cities. This compelling volume bridges advanced AI techniques and practical urban systems to tackle traffic congestion, energy inefficiency, water distribution, and resilience planning.

Explore how machine learning, neural networks, fuzzy logic, genetic algorithms, and predictive modeling can be applied to real-world urban challenges. Clear explanations of algorithms are paired with applied examples that make complex concepts accessible to practitioners and graduate students alike. Emphasis on sensor networks, IoT integration, GIS analytics, and optimization strategies demonstrates how computational intelligence transforms decision-making across transport, utilities, waste management, and emergency response.

Designed with professionals working in India and other rapidly urbanizing regions in mind, the book highlights scalable approaches suitable for cities from Mumbai and Delhi to emerging smart cities across South Asia, while remaining relevant to planners in global metropolitan centers. Readers will gain actionable methods for reducing operational costs, improving sustainability, and enhancing urban resilience through data-driven planning.

Whether you are an urban engineer, data scientist, academic, or city official, this edition equips you with conceptual clarity and practical tools to implement intelligent infrastructure projects. Practical, authoritative, and forward-looking, Computational Intelligence in Urban Infrastructure by Vinod Kumar Shukla is an essential addition to professional libraries and planning desks. Order your copy today and start turning urban data into smarter, more livable cities.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.