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Data-Driven Approaches in Transportation Engineering
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Data-Driven Approaches in Transportation Engineering

Book Details

Format Hardback or Cased Book
ISBN-10 1779569785
ISBN-13 9781779569783
Publisher Arcler Press
Imprint Arcler Press
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 1st, 2026
Print length 442 Pages
Ksh 25,900.00
Not Yet Published 0 in stock

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Modern transportation evolves through data analytics, leveraging machine learning and simulation tools for optimized traffic flow, network efficiency, and urban mobility planning. Case studies of smart cities and ITS illustrate how data drives predictive modeling and informed decision-making in the mobility sector.
Modern transportation systems rely heavily on data analytics to improve efficiency, safety, and sustainability. The application of big data and machine learning enables predictive modeling and intelligent infrastructure management. Data-Driven Approaches in Transportation Engineering focuses on analytical techniques for traffic flow analysis, network optimization, and urban mobility planning. It discusses data collection methods, simulation tools, and decision-making algorithms. The book also highlights case studies involving smart cities and intelligent transportation systems (ITS). Bridging engineering and data science, it offers valuable insights for planners, researchers, and policymakers in the mobility sector.

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