Vehicle Reidentification and Travel Time Measurement in Real Time on Freeways Using the Existing Loop Detector Infrastructure PDF Download
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Author: Benjamin Coifman
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages :
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Book Description
Author: Benjamin Coifman
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages :
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Book Description
Author: Benjamin André Coifman
Publisher:
ISBN:
Category : Motor vehicles
Languages : en
Pages : 18
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Book Description
Author: Francesc Soriguera Martí
Publisher: Springer
ISBN: 3662488582
Category : Technology & Engineering
Languages : en
Pages : 226
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Book Description
This monograph presents a simple, innovative approach for the measurement and short-term prediction of highway travel times based on the fusion of inductive loop detector and toll ticket data. The methodology is generic and not technologically captive, allowing it to be easily generalized for other equivalent types of data. The book shows how Bayesian analysis can be used to obtain fused estimates that are more reliable than the original inputs, overcoming some of the drawbacks of travel-time estimations based on unique data sources. The developed methodology adds value and obtains the maximum (in terms of travel time estimation) from the available data, without recurrent and costly requirements for additional data. The application of the algorithms to empirical testing in the AP-7 toll highway in Barcelona proves that it is possible to develop an accurate real-time, travel-time information system on closed-toll highways with the existing surveillance equipment, suggesting that highway operators might provide their customers with such an added value with little additional investment in technology.
Author: Benjamin Coifman
Publisher:
ISBN:
Category : Express highways
Languages : en
Pages : 100
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Author: Margarita Martínez-Díaz
Publisher: Springer Nature
ISBN: 3030896722
Category : Technology & Engineering
Languages : en
Pages : 299
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Book Description
This book deals with the estimation of travel time in a very comprehensive and exhaustive way. Travel time information is and will continue to be one key indicator of the quality of service of a road network and a highly valued knowledge for drivers. Moreover, travel times are key inputs for comprehensive traffic management systems. All the above-mentioned aspects are covered in this book. The first chapters expound on the different types of travel time information that traffic management centers work with, their estimation, their utility and their dissemination. They also remark those aspects in which this information should be improved, especially considering future cooperative driving environments.Next, the book introduces and validates two new methodologies designed to improve current travel time information systems, which additionally have a high degree of applicability: since they use data from widely disseminated sources, they could be immediately implemented by many administrations without the need for large investments. Finally, travel times are addressed in the context of dynamic traffic management systems. The evolution of these systems in parallel with technological and communication advancements is thoroughly discussed. Special attention is paid to data analytics and models, including data-driven approaches, aimed at understanding and predicting travel patterns in urban scenarios. Additionally, the role of dynamic origin-to-destination matrices in these schemes is analyzed in detail.
Author: Benjamin André Coifman
Publisher:
ISBN:
Category : Vehicle detectors
Languages : en
Pages : 170
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Book Description
Author: Benjamin André Coifman
Publisher:
ISBN:
Category : Motor vehicles
Languages : en
Pages : 28
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Book Description
Author:
Publisher:
ISBN:
Category : Traffic monitoring
Languages : en
Pages : 144
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Book Description
Author: Long Jin
Publisher: Frontiers Media SA
ISBN: 2832552013
Category : Science
Languages : en
Pages : 301
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Book Description
Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.
Author:
Publisher:
ISBN:
Category : Air travel
Languages : en
Pages : 802
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Book Description
