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. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic modeling and forecasting Includes case studies, key processes guidance and comparisons of different methodologies
- The calibration and validation of traffic simulation models. This important work will appeal to professionals, including transport consultants, managers in design firms and government, and even simulation software developers.
Traffic Management, Volume 3 of the 'Research for Innovative Transports' Set, presents a collection of updated papers from the TRA 2014 Conference, highlighting the diversity of research in this field.
The work describes in depth methods for evaluation of real life situations and related traffic models.
John Jensen Abstract For most persons, the individual travel time is the most relevant criterion when planning a route from a given origin to a given destination. Road managers and national economists are interested in the total travel ...
Traffic Management, Transport Modeling and Data Management
Volume 2 begins with an introduction and 4 chapters implementing software tools on cases of practical applications and it ends with a conclusion: The various tools used in this volume Operational research with a spreadsheet Dashboards with ...
Knowledge processing traffic engineering knowledge for : traffic behaviour analysis - interpretation and diagnosis of events - qualitative prediction - directions of control Al - based traffic understanding and management layer Data ...
This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics.
The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results.
Technology for communication with the driver and the ability to guide him, by providing him with useful, relevant and updated information, to his desired destination.