Road Traffic Modeling and Management: Using Statistical Monitoring
and Deep Learning provides a framework for understanding and
enhancing road traffic monitoring and management. The book examines
commonly used traffic analysis methodologies as well the emerging
methods that use deep learning methods. Other sections discuss how
to understand statistical models and machine learning algorithms
and how to apply them to traffic modeling, estimation, forecasting
and traffic congestion monitoring. Providing both a theoretical
framework along with practical technical solutions, this book is
ideal for researchers and practitioners who want to improve the
performance of intelligent transportation systems.
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