Highway Travel Time Estimation With Data Fusion

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Highway Travel Time Estimation With Data Fusion

Author : Francesc Soriguera Martí
Publisher : Springer
ISBN 13 : 3662488582
Total Pages : 226 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Highway Travel Time Estimation With Data Fusion by : Francesc Soriguera Martí

Download or read book Highway Travel Time Estimation With Data Fusion written by Francesc Soriguera Martí and published by Springer. This book was released on 2015-11-30 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Highway Travel Time Estimation with Data Fusion

Author : Francesc Soriguera
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Highway Travel Time Estimation with Data Fusion by : Francesc Soriguera

Download or read book Highway Travel Time Estimation with Data Fusion written by Francesc Soriguera and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multi-sensor Data Fusion for Travel Time Estimation

Author : Jiang Han
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (817 download)

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Book Synopsis Multi-sensor Data Fusion for Travel Time Estimation by : Jiang Han

Download or read book Multi-sensor Data Fusion for Travel Time Estimation written by Jiang Han and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of travel time estimation has increased due to the central role it plays in a number of emerging intelligent transport systems and services including Advanced Traveller Information Systems (A TIS), Urban Traffic Control (UTC), Dynamic Route Guidance (DRG), Active Traffic Management (A TM), and network performance monitoring. Along with the emerging of new sensor technologies, the much greater volumes of near real time data provided by these new sensor systems create opportunities for significant improvement in travel time estimation. Data fusion as a recent technique leads to a promising solution to this problem. This thesis presents the development and testing of new methods of multi- sensor data fusion for the accurate, reliable and robust estimation of travel time. This thesis reviews the state-of-art data fusion approaches and its application in transport domain, and discusses both of opportunities and challenging of applying data fusion into travel time estimation in a heterogeneous real time data environment. For a particular England highway scenario where ILDs and ANPR data are largely available, a simple but practical fusion method is proposed to estimate the travel time based on a novel relationship between space-mean-speed and time-mean-speed. In developing a general fusion framework which is able to fuse ILDs, GPS and ANPR data, the Kalman filter is identified as the most appropriate fundamental fusion technique upon which to construct the required framework. This is based both on the ability of the Kalman filter to flexibly accommodate well- established traffic flow models which describe the internal physical relation between the observed variables and objective estimates and on its ability to integrate and propagate in a consistent fashion the uncertainty associated with different data sources. Although the standard linear Kalman filter has been used for multi-sensor travel time estimation in the previous research, the novelty of this research is to develop a nonlinear Kalman filter (EKF and UKF) fusion framework which improves the estimation performance over those methods based on the linear Kalman filter. This proposed framework is validated by both of simulation and real-world scenarios, and is demonstrated the effectiveness of estimating travel time by fusing multi-sensor sources.

The Evolution of Travel Time Information Systems

Author : Margarita Martínez-Díaz
Publisher : Springer Nature
ISBN 13 : 3030896722
Total Pages : 299 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis The Evolution of Travel Time Information Systems by : Margarita Martínez-Díaz

Download or read book The Evolution of Travel Time Information Systems written by Margarita Martínez-Díaz and published by Springer Nature. This book was released on 2022-01-21 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multisensor Data Fusion

Author : Hassen Fourati
Publisher : CRC Press
ISBN 13 : 1351830880
Total Pages : 628 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Multisensor Data Fusion by : Hassen Fourati

Download or read book Multisensor Data Fusion written by Hassen Fourati and published by CRC Press. This book was released on 2017-12-19 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

Multi-Sensor Data Fusion for Traffic Speed and Travel Time Estimation

Author : Christian Bachmann
Publisher :
ISBN 13 : 9780494764282
Total Pages : 216 pages
Book Rating : 4.7/5 (642 download)

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Book Synopsis Multi-Sensor Data Fusion for Traffic Speed and Travel Time Estimation by : Christian Bachmann

Download or read book Multi-Sensor Data Fusion for Traffic Speed and Travel Time Estimation written by Christian Bachmann and published by . This book was released on 2011 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, seven multi-sensor data fusion based estimation techniques are investigated. All methods are compared in terms of their ability to fuse data from loop detectors and Bluetooth tracked probe vehicles to accurately estimate freeway traffic speed. In the first case study, data generated from a microsimulation model are used to assess how data fusion might perform with present day conditions, having few probe vehicles, and what sort of improvement might result from an increased proportion of vehicles carrying Bluetooth-enabled devices in the future. In the second case study, data collected from the real-world Bluetooth traffic monitoring system are fused with corresponding loop detector data and the results are compared against GPS collected probe vehicle data, demonstrating the feasibility of implementing data fusion for real-time traffic monitoring today. This research constitutes the most comprehensive evaluation of data fusion techniques for traffic speed estimation known to the author.

Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion

Author : Mohamed Zaki
Publisher : Infinite Study
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4./5 ( download)

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Book Synopsis Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion by : Mohamed Zaki

Download or read book Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion written by Mohamed Zaki and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cairo is experiencing traffic congestion that places it among the worst in the world. Obviously, it is difficult if not impossible to solve the transportation problem because it is multi-dimensional problem but it's good to reduce this waste of money and the associated waste of time resulting from congestion.

The Rise of Smart Cities

Author : Amir Alavi
Publisher : Butterworth-Heinemann
ISBN 13 : 0128177853
Total Pages : 698 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis The Rise of Smart Cities by : Amir Alavi

Download or read book The Rise of Smart Cities written by Amir Alavi and published by Butterworth-Heinemann. This book was released on 2022-04-12 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems provides engineers and researchers with a guide to the latest breakthroughs in the deployment of smart sensing and monitoring technologies. The book introduces readers to the latest innovations in the area of smart infrastructure-enabling technologies and howthey can be integrated into the planning and design of smart cities. With this book in hand, readers will find a valuable reference in terms of civil infrastructure health monitoring, advanced sensor network architectures, smart sensing materials, multifunctional material and structures, crowdsourced/social sensing, remote sensing and aerial sensing, and advanced computation in sensornetworks. Reviews the latest development in smart structural health monitoring (SHM) systems Introduces all major algorithms, with a focus on practical implementation Includes real-world applications and case studies Opens up a new horizon for robust structural sensing methods and their applications in smart cities

Lecture Notes in Real-Time Intelligent Systems

Author : Jolanta Mizera-Pietraszko
Publisher : Springer
ISBN 13 : 3319913379
Total Pages : 529 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Lecture Notes in Real-Time Intelligent Systems by : Jolanta Mizera-Pietraszko

Download or read book Lecture Notes in Real-Time Intelligent Systems written by Jolanta Mizera-Pietraszko and published by Springer. This book was released on 2018-05-14 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second volume of the book series highlights works presented at the 2nd International Conference on Real Time Intelligent Systems, held in Casablanca on October 18-20, 2017. The book offers a comprehensive, practical review of the state-of-the-art in designing and implementing real-time intelligent computing for the areas within the conference’s scope such as robotics, intelligent alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowdsourcing, broadband systems, cloud computing, streaming data and many other applications. Research in real-time computing supports decision making in dynamic environments. Some examples include ABS, FBW flight control, automatic air-conditioning, etc. Intelligent computing relies heavily on artificial intelligence (AI) to make computers act for humans. The authors are confident that the solutions discussed in this book will provide a unique source of information and inspiration for researchers working in AI, distributed coding algorithms or smart services and platforms, and for IT professionals, who can integrate the proposed methods into their practice.

Decision Support Methods in Modern Transportation Systems and Networks

Author : Grzegorz Sierpiński
Publisher : Springer Nature
ISBN 13 : 3030717712
Total Pages : 228 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Decision Support Methods in Modern Transportation Systems and Networks by : Grzegorz Sierpiński

Download or read book Decision Support Methods in Modern Transportation Systems and Networks written by Grzegorz Sierpiński and published by Springer Nature. This book was released on 2021-06-10 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains an abundance of numerical analyses based on significant data sets, illustrating importance of environmentally friendly solutions requiring transport networks to be redesigned or clean zones to be implemented. What kind of steps should be taken to redesign transport network? How to evaluate efficiency or flexibility of transport system and city logistics? What factors can be taken into account in the process of optimizing the functioning of public transport or paid parking zones? How to optimize supply chains (including last mile delivering and routing problem)? Which of the multi-criteria methods should be applied to support decision making processes while tackling problems of global transport systems? Answers to these and many other questions can be found in this book.With regard to the research results discussed and the selected solutions applied, the book entitled "Decision support methods in modern transportation systems and networks" primarily addresses the needs of three target groups: · Scientists and researchers (ITS field) · Local authorities (responsible for the transport systems at the urban and regional level) · Representatives of business (traffic strategy management) and industry (manufacturers of ITS components).

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017

Author : Xue-Bo Jin
Publisher : MDPI
ISBN 13 : 3038429333
Total Pages : 569 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 by : Xue-Bo Jin

Download or read book Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 written by Xue-Bo Jin and published by MDPI. This book was released on 2018-06-26 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors

Modeling and Simulation of Intelligent Transportation Systems

Author : Wael A. Altabey
Publisher : CRC Press
ISBN 13 : 104013209X
Total Pages : 228 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Modeling and Simulation of Intelligent Transportation Systems by : Wael A. Altabey

Download or read book Modeling and Simulation of Intelligent Transportation Systems written by Wael A. Altabey and published by CRC Press. This book was released on 2024-10-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: As transport networks become more congested, there is a growing need to adopt policies that manage demand and make full use of existing assets. Advances in information technology are now such that intelligent transportation systems (ITS) offer real potential to meet this challenge by monitoring current conditions, predicting what might happen in the future, and providing the means to manage transport proactively and on an area-wide basis. Modeling and Simulation of Intelligent Transportation Systems provides engineers, professionals, and researchers an intuitive appreciation for ITS theory, related sensor technologies, and other practical applications, including traffic management, safety, design optimization, and sustainability. Provides the theory and practical applications of Intelligent Transport Theory which will be helpful as highway construction recedes as a sustainable long-term solution. Includes several case studies that illustrate the concepts presented throughout.

Mobility Patterns, Big Data and Transport Analytics

Author : Constantinos Antoniou
Publisher : Elsevier
ISBN 13 : 0128129719
Total Pages : 454 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Mobility Patterns, Big Data and Transport Analytics by : Constantinos Antoniou

Download or read book Mobility Patterns, Big Data and Transport Analytics written by Constantinos Antoniou and published by Elsevier. This book was released on 2018-11-27 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail, mobility ‘structural’ analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data’s impact on mobility, and an introduction to the tools necessary to apply new techniques. Guides readers through the paradigm-shifting opportunities and challenges of handling Big Data in transportation modeling and analytics Covers current analytical innovations focused on capturing, predicting, visualizing, and controlling mobility patterns, while discussing future trends Delivers an introduction to transportation-related information advances, providing a benchmark reference by world-leading experts in the field Captures and manages mobility patterns, covering multiple purposes and alternative transport modes, in a multi-disciplinary approach Companion website features videos showing the analyses performed, as well as test codes and data-sets, allowing readers to recreate the presented analyses and apply the highlighted techniques to their own data

Data-Driven Solutions to Transportation Problems

Author : Yinhai Wang
Publisher : Elsevier
ISBN 13 : 0128170271
Total Pages : 302 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data-Driven Solutions to Transportation Problems by : Yinhai Wang

Download or read book Data-Driven Solutions to Transportation Problems written by Yinhai Wang and published by Elsevier. This book was released on 2018-12-04 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical and technically-oriented researchers

Smart Computing and Communication

Author : Meikang Qiu
Publisher : Springer
ISBN 13 : 3030057550
Total Pages : 475 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Smart Computing and Communication by : Meikang Qiu

Download or read book Smart Computing and Communication written by Meikang Qiu and published by Springer. This book was released on 2018-12-08 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Smart Computing and Communications, SmartCom 2018, held in Tokyo, Japan, in December 2018. The 45 papers presented in this volume were carefully reviewed and selected from 305 submissions. They focus on topics from smart data to smart communications, as well as smart cloud computing to smart security.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Author : Kah Phooi Seng
Publisher : Springer
ISBN 13 : 3319975986
Total Pages : 391 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Multimodal Analytics for Next-Generation Big Data Technologies and Applications by : Kah Phooi Seng

Download or read book Multimodal Analytics for Next-Generation Big Data Technologies and Applications written by Kah Phooi Seng and published by Springer. This book was released on 2019-07-18 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

Interactive Collaborative Information Systems

Author : Robert Babuška
Publisher : Springer Science & Business Media
ISBN 13 : 3642116876
Total Pages : 598 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Interactive Collaborative Information Systems by : Robert Babuška

Download or read book Interactive Collaborative Information Systems written by Robert Babuška and published by Springer Science & Business Media. This book was released on 2010-04-21 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing complexity of our world demands new perspectives on the role of technology in human decision making. We need new technology to cope with the increasingly complex and information-rich nature of our modern society. This is particularly true for critical environments such as crisis management and traffic management, where humans need to engage in close collaborations with artificial systems to observe and understand the situation and respond in a sensible way. The book Interactive Collaborative Information Systems addresses techniques that support humans in situations in which complex information handling is required and that facilitate distributed decision-making. The theme integrates research from information technology, artificial intelligence and human sciences to obtain a multidisciplinary foundation from which innovative actor-agent systems for critical environments can emerge. It emphasizes the importance of building actor-agent communities: close collaborations between human and artificial actors that highlight their complementary capabilities in situations where task distribution is flexible and adaptive. This book focuses on the employment of innovative agent technology, advanced machine learning techniques, and cognition-based interface technology for the use in collaborative decision support systems.