Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems

Chowdhury, Mashrur
Apon, Amy
Dey, Kakan

96,67 €(IVA inc.)

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts coveredPresents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers INDICE: 1. Characteristics of Connected Transportation Systems 2. Data Analytics Fundamentals 3. Data Structure 4. Data Lifecycle 5. Data Infrastructure 6. Data Privacy and Security 7. Data Visualization 8. System Engineering for Data Analytics 9. Data Analytics for Safety Applications 10. Data Analytics for Mobility Applications 11. Data Analytics for Environmental Applications 12. Planning, Design and Evaluation of Alternative Data Analytics Systems 13. Social Media Data in Transportation 14. Data Analytics for Multimodal Transportation

  • ISBN: 978-0-12-809715-1
  • Editorial: Elsevier
  • Encuadernacion: Rústica
  • Páginas: 320
  • Fecha Publicación: 01/05/2017
  • Nº Volúmenes: 1
  • Idioma: Inglés