<p><span>Microscopic traffic model serves as the foundation of traffic flow theory and is the basis for applications such as traffic simulation, autonomous vehicle simulation, and digital twin technology. Conventional traffic models have primarily focused on the longitudinal dimension and have been
Network Traffic Engineering: Stochastic Models and Applications
β Scribed by Andrea Baiocchi
- Publisher
- Wiley
- Year
- 2020
- Tongue
- English
- Leaves
- 802
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
A COMPREHENSIVE GUIDE TO THE CONCEPTS AND APPLICATIONS OF QUEUING THEORY AND TRAFFIC THEORY
Network Traffic Engineering: Stochastic Models and Applications provides an advanced level queuing theory guide for students with a strong mathematical background who are interested in analytic modeling and performance assessment of service system networks, with a focus on communication networks.
The text begins with the basics of queuing theory before moving on to more advanced levels. Examples and applications are a key part of the material. The topics covered in the book are derived from cutting-edge research, project development, teaching activity, and discussions on the subject. They include applications of queuing and traffic theory in:
- Cellular networks
- Wi-Fi networks
- Ad-hoc and vehicular networks
- Congestion control in the Internet
The distinguished author seeks to show how insight into practical and real-world problems can be gained by means of quantitative modeling. Perfect for graduate and PhD students of engineering and science in the field of Information and Communication Technologies, including computer, telecommunications, and electrical engineering, computer science, data science, Network Traffic Engineering offers a supremely practical approach, grounded on a solid theoretical foundation, to a rapidly developing field of study and industry.
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