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.