Data Analytics for Intelligent Transportation Systems 2nd Edition

Capture the future of mobility with Data Analytics for Intelligent Transportation Systems, 2nd Edition by Mashrur Chowdhury. This updated, practical guide equips transportation professionals, researchers, and urban planners with the data-driven tools needed to make smarter, safer, and more efficient mobility decisions.

Explore clear explanations of modern analytics techniques—machine learning, predictive modeling, time-series analysis, and sensor fusion—applied specifically to traffic management, demand forecasting, incident detection, and connected/autonomous vehicle integration. Real-world case studies and applied examples demonstrate how analytics solve city-scale challenges, from congestion mitigation in dense metropolitan corridors to optimizing transit networks in emerging urban regions.

Designed for both classroom and professional use, this edition emphasizes actionable workflows and interpretable results so you can translate analytics into policy, investment, and operational change. Whether you’re a transportation engineer in North America, a city planner in Europe, or a smart-city initiative leader in Asia, the book’s global perspective and practical focus make it immediately relevant to municipal agencies, consultancies, and academic programs worldwide.

Benefit from step-by-step discussions that clarify complex concepts and prioritize implementable strategies—helping you reduce delays, improve safety, and design resilient multimodal systems. Comprehensive yet accessible, this volume bridges theory and practice for anyone serious about leveraging big data in transportation.

Advance your expertise and lead smarter mobility projects—add Data Analytics for Intelligent Transportation Systems, 2nd Edition by Mashrur Chowdhury to your professional library today.

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