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| Author | : William J. Palm |
| Publisher | : |
| Total Pages | : 16 |
| Release | : 2002 |
| Genre | : Automated highways |
| ISBN | : |
| Author | : Fouzi Harrou |
| Publisher | : Elsevier |
| Total Pages | : 270 |
| Release | : 2021-10-05 |
| Genre | : Transportation |
| ISBN | : 0128234334 |
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
| Author | : Antonella Ferrara |
| Publisher | : Springer |
| Total Pages | : 324 |
| Release | : 2018-04-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3319759612 |
This monograph provides an extended overview of modelling and control approaches for freeway traffic systems, moving from the early methods to the most recent scientific results and field implementations. The concepts of green traffic systems and smart mobility are addressed in the book, since a modern freeway traffic management system should be designed to be sustainable. Future perspectives on freeway traffic control are also analysed and discussed with reference to the most recent technological advancements The most widespread modelling and control techniques for freeway traffic systems are treated with mathematical rigour, but also discussed with reference to their performance assessment and to the expected impact of their practical usage in real traffic systems. In order to make the book accessible to readers of different backgrounds, some fundamental aspects of traffic theory as well as some basic control concepts, useful for better understanding the addressed topics, are provided in the book. This monograph can be used as a textbook for courses on transport engineering, traffic management and control. It is also addressed to experts working in traffic monitoring and control areas and to researchers, technicians and practitioners of both transportation and control engineering. The authors’ systematic vision of traffic modelling and control methods developed over decades makes the book a valuable survey resource for freeway traffic managers, freeway stakeholders and transportation public authorities with professional interests in freeway traffic systems. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
| Author | : Khaled A. Almejalli |
| Publisher | : |
| Total Pages | : |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
The selection of the most appropriate traffic control actions to solve non-recurrent traffic congestion is a complex task which requires significant expert knowledge and experience. In this thesis we develop and investigate the application of an intelligent traffic control decision support system for road traffic management to assist the human operator to identify the most suitable control actions in order to deal with non-recurrent and non-predictable traffic congestion in a real-time situation. Our intelligent system employs a Fuzzy Neural Networks (FNN) Tool that combines the capabilities of fuzzy reasoning in measuring imprecise and dynamic factors and the capabilities of neural networks in terms of learning processes. In this work we present an effective learning approach with regard to the FNN-Tool, which consists of three stages: initializing the membership functions of both input and output variables by determining their centres and widths using self-organizing algorithms; employing an evolutionary Genetic Algorithm (GA) based learning method to identify the fuzzy rules; tune the derived structure and parameters using the back-propagation learning algorithm. We evaluate experimentally the performance and the prediction capability of this three-stage learning approach using well-known benchmark examples. Experimental results demonstrate the ability of the learning approach to identify all relevant fuzzy rules from the training data. A comparative analysis shows that the proposed learning approach has a higher degree of predictive capability than existing models. We also address the scalability issue of our intelligent traffic control decision support system by using a multi-agent based approach. The large network is divided into sub-networks, each of which has its own associated agent. Finally, our intelligent traffic control decision support system is applied to a number of road traffic case studies using the traffic network in Riyadh, in Saudi Arabia. The results obtained are promising and show that our intelligent traffic control decision support system can provide an effective support for real-time traffic control.
| Author | : Pushkin Kachroo |
| Publisher | : Springer |
| Total Pages | : 291 |
| Release | : 2018-05-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3319692313 |
This book develops a methodology for designing feedback control laws for dynamic traffic assignment (DTA) exploiting the introduction of new sensing and information-dissemination technologies to facilitate the introduction of real-time traffic management in intelligent transportation systems. Three methods of modeling the traffic system are discussed: partial differential equations representing a distributed-parameter setting; continuous-time ordinary differential equations (ODEs) representing a continuous-time lumped-parameter setting; and discreet-time ODEs representing a discrete-time lumped-parameter setting. Feedback control formulations for reaching road-user-equilibrium are presented for each setting and advantages and disadvantage of using each are addressed. The closed-loop methods described are proposed expressly to avoid the counter-productive shifting of bottlenecks from one route to another because of driver over-reaction to routing information. The second edition of Feedback Control Theory for Dynamic Traffic Assignment has been thoroughly updated with completely new chapters: a review of the DTA problem and emphasizing real-time-feedback-based problems; an up-to-date presentation of pertinent traffic-flow theory; and a treatment of the mathematical solution to the traffic dynamics. Techinques accounting for the importance of entropy are further new inclusions at various points in the text. Researchers working in traffic control will find the theoretical material presented a sound basis for further research; the continual reference to applications will help professionals working in highway administration and engineering with the increasingly important task of maintaining and smoothing traffic flow; the extensive use of end-of-chapter exercises will help the graduate student and those new to the field to extend their knowledge.
| Author | : Dung Le Doan |
| Publisher | : |
| Total Pages | : 322 |
| Release | : 2000 |
| Genre | : Electronic traffic controls |
| ISBN | : |
The methodologies for the control process were tested computationally on a corridor network in a simulated environment. The results indicated that the control methodologies introduced in this dissertation can effectively improve the network performance under various scenarios of system disturbances and uncertainties.
| Author | : Sumit Ghosh |
| Publisher | : CRC Press |
| Total Pages | : 220 |
| Release | : 2010-05-25 |
| Genre | : Technology & Engineering |
| ISBN | : 1439835195 |
For many transportation systems, the cost of expanding the infrastructure is too high. Therefore, the focus must shift to improving the quality of transportation within the existing infrastructure. The second edition of a bestseller, Intelligent Transport Systems: Smart and Green Infrastructure Design critically examines the successes and failures
| Author | : Gary A. Davis |
| Publisher | : |
| Total Pages | : 58 |
| Release | : 2006 |
| Genre | : Electronic traffic controls |
| ISBN | : |
| Author | : Sharon Adams Boxill |
| Publisher | : |
| Total Pages | : 120 |
| Release | : 2000 |
| Genre | : Intelligent transportation systems |
| ISBN | : |
Tools to evaluate networks under information supply are a vital necessity in light of the systems being implemented as part of the Intelligent Transportation Systems (ITS) deployment plan. One such tool is the traffic simulation model. This report presents an evaluation of the existing traffic simulation models to identify the models that can be potentially applied in ITS equipped networks. The traffic simulation models are categorized according to type (macroscopic, microscopic or mesoscopic), as well as functionality (highway, signal, integrated). The entire evaluation is conducted through two steps: initial screening and in-depth evaluation. The initial step generates a shorter but more specific list of traffic simulation models based on some pre-determined criteria. The in-depth evaluation identifies which model on the shorter list is suitable for a specific area of ITS applications. It is concluded from this research that presently CORSIM and INTEGRATION appear to have the highest probability of success in real-world applications. It is also found that by adding more calibration and validation in the U.S., the AIMSUN 2 and PARAMICS models will be brought to the forefront in the near term for use with ITS applications.
| Author | : Owen Jianwen Chen |
| Publisher | : |
| Total Pages | : 122 |
| Release | : 1996 |
| Genre | : |
| ISBN | : |
