Multi Sensor Data Fusion For Traffic Speed And Travel Time Estimation

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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.

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.

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.

A Multi-sensor Data Fusion Approach for Real-time Lane-based Traffic Estimation

Author : Zhuoyang Zhou
Publisher :
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (914 download)

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Book Synopsis A Multi-sensor Data Fusion Approach for Real-time Lane-based Traffic Estimation by : Zhuoyang Zhou

Download or read book A Multi-sensor Data Fusion Approach for Real-time Lane-based Traffic Estimation written by Zhuoyang Zhou and published by . This book was released on 2015 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern intelligent transportation systems (ITS) make driving more efficient, easier, and safer. Knowledge of real-time traffic conditions is a critical input for operating ITS. Real-time freeway traffic state estimation approaches have been used to quantify traffic conditions given limited amount of data collected by traffic sensors. Currently, almost all real-time estimation methods have been developed for estimating laterally aggregated traffic conditions in a roadway segment using link-based models which assume homogeneous conditions across multiple lanes. However, with new advances and applications of ITS, knowledge of lane-based traffic conditions is becoming important, where the traffic condition differences among lanes are recognized. In addition, most of the current real-time freeway traffic estimators consider only data from loop detectors. This dissertation develops a bi-level data fusion approach using heterogeneous multi-sensor measurements to estimate real-time lane-based freeway traffic conditions, which integrates a link-level model-based estimator and a lane-level data-driven estimator. Macroscopic traffic flow models describe the evolution of aggregated traffic characteristics over time and space, which are required by model-based traffic estimation approaches. Since current first-order Lagrangian macroscopic traffic flow model has some unrealistic implicit assumptions (e.g., infinite acceleration), a second-order Lagrangian macroscopic traffic flow model has been developed by incorporating drivers anticipation and reaction delay. A multi-sensor extended Kalman filter (MEKF) algorithm has been developed to combine heterogeneous measurements from multiple sources. A MEKF-based traffic estimator, explicitly using the developed second-order traffic flow model and measurements from loop detectors as well as GPS trajectories for given fractions of vehicles, has been proposed which gives real-time link-level traffic estimates in the bi-level estimation system. The lane-level estimation in the bi-level data fusion system uses the link-level estimates as priors and adopts a data-driven approach to obtain lane-based estimates, where now heterogeneous multi-sensor measurements are combined using parallel spatial-temporal filters. Experimental analysis shows that the second-order model can more realistically reproduce real world traffic flow patterns (e.g., stop-and-go waves). The MEKF-based link-level estimator exhibits more accurate results than the estimator that uses only a single data source. Evaluation of the lane-level estimator demonstrates that the proposed new bi-level multi-sensor data fusion system can provide very good estimates of real-time lane-based traffic conditions.

Multisensor Data Fusion

Author : David Hall
Publisher : CRC Press
ISBN 13 : 1420038540
Total Pages : 564 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Multisensor Data Fusion by : David Hall

Download or read book Multisensor Data Fusion written by David Hall and published by CRC Press. This book was released on 2001-06-20 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

Multi-Sensor Data Fusion

Author : H.B. Mitchell
Publisher : Springer Science & Business Media
ISBN 13 : 3540715592
Total Pages : 281 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Multi-Sensor Data Fusion by : H.B. Mitchell

Download or read book Multi-Sensor Data Fusion written by H.B. Mitchell and published by Springer Science & Business Media. This book was released on 2007-07-13 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.

Handbook of Multisensor Data Fusion

Author : Martin Liggins II
Publisher : CRC Press
ISBN 13 : 1351835378
Total Pages : 870 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Handbook of Multisensor Data Fusion by : Martin Liggins II

Download or read book Handbook of Multisensor Data Fusion written by Martin Liggins II and published by CRC Press. This book was released on 2017-01-06 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

Multisensor Fusion

Author : Anthony K. Hyder
Publisher : Springer Science & Business Media
ISBN 13 : 9401005567
Total Pages : 929 pages
Book Rating : 4.4/5 (1 download)

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Book Synopsis Multisensor Fusion by : Anthony K. Hyder

Download or read book Multisensor Fusion written by Anthony K. Hyder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.

Vehicle Monitoring for Traffic Surveillance and Performance Using Multi-sensor Data Fusion

Author : Seri Pari
Publisher :
ISBN 13 :
Total Pages : 452 pages
Book Rating : 4.:/5 (63 download)

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Book Synopsis Vehicle Monitoring for Traffic Surveillance and Performance Using Multi-sensor Data Fusion by : Seri Pari

Download or read book Vehicle Monitoring for Traffic Surveillance and Performance Using Multi-sensor Data Fusion written by Seri Pari and published by . This book was released on 2004 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Fusion: Concepts and Ideas

Author : H B Mitchell
Publisher : Springer
ISBN 13 : 9783642272219
Total Pages : 346 pages
Book Rating : 4.2/5 (722 download)

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Book Synopsis Data Fusion: Concepts and Ideas by : H B Mitchell

Download or read book Data Fusion: Concepts and Ideas written by H B Mitchell and published by Springer. This book was released on 2012-02-13 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion: An Introduction" which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.

Multisensor Data Fusion

Author : Hassen Fourati
Publisher : CRC Press
ISBN 13 : 1482263750
Total Pages : 639 pages
Book Rating : 4.4/5 (822 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 639 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.

Mathematical Techniques in Multisensor Data Fusion

Author : David Lee Hall
Publisher : Artech House Radar Library (Ha
ISBN 13 :
Total Pages : 326 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Mathematical Techniques in Multisensor Data Fusion by : David Lee Hall

Download or read book Mathematical Techniques in Multisensor Data Fusion written by David Lee Hall and published by Artech House Radar Library (Ha. This book was released on 1992 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces key algorithms, provides advice on their utilization, and raises issues associated with their implementation. With a diverse set of mathematical and heuristic techniques for combining data from multiple sources, the book shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues.

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

Freeway Travel Time Estimation Using Existing Fixed Traffic Sensors

Author : Yao-Jan Wu
Publisher :
ISBN 13 :
Total Pages : 86 pages
Book Rating : 4.:/5 (871 download)

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Book Synopsis Freeway Travel Time Estimation Using Existing Fixed Traffic Sensors by : Yao-Jan Wu

Download or read book Freeway Travel Time Estimation Using Existing Fixed Traffic Sensors written by Yao-Jan Wu and published by . This book was released on 2014 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Missouri Department of Transportation (MoDOT) collects traffic data from more than 700 fixed traffic sensors located along major freeways and arterials in the greater St. Louis area. The department wanted to utilize this data more fully to extract useful information for stakeholders. One potential application is to convert the information collected by the fixed traffic sensors directly into travel times without the need to install additional sensors. The study team developed a database specifically designed and optimized for the purpose of freeway performance measurement and implemented a data quality assurance procedure to examine the quality of the data collected. After conducting several case studies, they were able to prove the feasibilty of this approach.

Multisensor Fusion Estimation Theory and Application

Author : Liping Yan
Publisher : Springer
ISBN 13 : 9789811594250
Total Pages : 227 pages
Book Rating : 4.5/5 (942 download)

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Book Synopsis Multisensor Fusion Estimation Theory and Application by : Liping Yan

Download or read book Multisensor Fusion Estimation Theory and Application written by Liping Yan and published by Springer. This book was released on 2020-12-21 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.

Reliable Travel Time Prediction for Freeways

Author : J. W. C. van Lint
Publisher :
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Reliable Travel Time Prediction for Freeways by : J. W. C. van Lint

Download or read book Reliable Travel Time Prediction for Freeways written by J. W. C. van Lint and published by . This book was released on 2004 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multi-Sensor Data Fusion in Presence of Uncertainty and Inconsistency in Data

Author : Manish Kumar
Publisher :
ISBN 13 : 9783902613523
Total Pages : pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis Multi-Sensor Data Fusion in Presence of Uncertainty and Inconsistency in Data by : Manish Kumar

Download or read book Multi-Sensor Data Fusion in Presence of Uncertainty and Inconsistency in Data written by Manish Kumar and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensors measurements are inherently uncertain and often inconsistent. Appropriate consideration of uncertainty and identification/elimination of inconsistent measurements are essential for carrying out accurate estimation. The research reported in this chapter proposes a unified and formalized approach to fuse data from multiple sources which can take uncertainty of sensor data into account and automatically identify inconsistency in sensor data. Appropriate modeling of uncertainties in sensor measurement is necessary. This chapter presents an innovative neural network based method to model sensor's uncertainties. Further, the chapter presents a strategy that adds a term to the popular Bayesian approach corresponding to a belief that the sensor data is not spurious conditioned upon the data and true state. An information theoretic measure is utilized to observe the information content of the posterior distribution to identify and eliminate inconsistent data. An extensive simulation study was performed where data from three sensors was fused. It was observed that the presented method was very effective in identifying spurious data, and, elimination of spurious data ensured more accurate results. Finally, the effectiveness of the proposed technique to identify and eliminate inconsistent sensor data in sequential Bayesian fusion was demonstrated with the help of an experiment performed in a robotic workcell where measurements from stereo vision, infra-red proximity, and laser proximity sensor were fused to obtain three-dimensional occupancy profile of robotic workspace.