- 438 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Data-Driven Approaches in Transportation Engineering
About this book
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.
Information
Subtopic
Transportation & NavigationTable of contents
- Cover
- Title Page
- Copyright
- About the Editor
- Table of Contents
- List of Figures
- Preface
- Chapter 1: Introduction to Biosensors
- Chapter 2: Biological Elements in Biosensors
- Chapter 3: Transduction Mechanisms
- Chapter 4: Signal Processing in Biosensors
- Chapter 5: Biosensors for Medical Applications
- Chapter 6: Biosensors in Environmental Monitoring
- Chapter 7: Biosensors in Food and Agriculture
- Chapter 8: Living Systems and Biosensor Integration
- Chapter 9: Emerging Trends in Biosensors
- Chapter 10: Challenges and Future Prospects
- Index
- Back Cover
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Yes, you can access Data-Driven Approaches in Transportation Engineering by Bechoo Lal in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Transportation & Navigation. We have over 1.5 million books available in our catalogue for you to explore.