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.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Road traffic modeling - p. 15 3. Chapter 3. Road traffic density estimation - p. 65 4. Chapter 4. Model-based techniques for traffic congestion detection - p. 99 5. Chapter 5. Traffic congestion detection: data-based techniques - p. 141 6. Chapter 6. Recurrent and convolutional neural networks for traffic management - p. 197 7. Chapter 7. Conclusion and further research directions - p. 247 8. Index - p. 255
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.
1. Chapter 1. Introduction - p. 1 2. Chapter 2. Road traffic modeling - p. 15 3. Chapter 3. Road traffic density estimation - p. 65 4. Chapter 4. Model-based techniques for traffic congestion detection - p. 99 5. Chapter 5. Traffic congestion detection: data-based techniques - p. 141 6. Chapter 6. Recurrent and convolutional neural networks for traffic management - p. 197 7. Chapter 7. Conclusion and further research directions - p. 247 8. Index - p. 255
