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Road Traffic Modeling and Management
Using Statistical Monitoring and Deep Learning
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377 b
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Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. It examines both the commonly used traffic analysis methodologies as well the emerging ones that use deep learning methods. The book also shows how to understand statistical models and machine learning algorithms, and how to apply them to traffic modelling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning is for researchers and practitioners who want to improve the performance of intelligent transportation systems. Provides integrated, up to date and complete coverage of the key components for intelligent transportation systems: traffic modelling, forecasting, estimation, and monitoringUses methods based on video and time series data for traffic modelling and forecastingIncludes case studies, key processes guidance, and comparisons of different methodologies
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