Real Time Traffic Modeling And Estimation With Streaming Probe Data Using Machine Learning

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Gaussian Processes for Positioning Using Radio Signal Strength Measurements

Author : Yuxin Zhao
Publisher : Linköping University Electronic Press
ISBN 13 : 9176851621
Total Pages : 74 pages
Book Rating : 4.1/5 (768 download)

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Book Synopsis Gaussian Processes for Positioning Using Radio Signal Strength Measurements by : Yuxin Zhao

Download or read book Gaussian Processes for Positioning Using Radio Signal Strength Measurements written by Yuxin Zhao and published by Linköping University Electronic Press. This book was released on 2019-02-27 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estimation of unknown parameters is considered as one of the major research areas in statistical signal processing. In the most recent decades, approaches in estimation theory have become more and more attractive in practical applications. Examples of such applications may include, but are not limited to, positioning using various measurable radio signals in indoor environments, self-navigation for autonomous cars, image processing, radar tracking and so on. One issue that is usually encountered when solving an estimation problem is to identify a good system model, which may have great impacts on the estimation performance. In this thesis, we are interested in studying estimation problems particularly in inferring the unknown positions from noisy radio signal measurements. In addition, the modeling of the system is studied by investigating the relationship between positions and radio signal strength measurements. One of the main contributions of this thesis is to propose a novel indoor positioning framework based on proximity measurements, which are obtained by quantizing the received signal strength measurements. Sequential Monte Carlo methods, to be more specific particle filter and smoother, are utilized for estimating unknown positions from proximity measurements. The Cramér-Rao bounds for proximity-based positioning are further derived as a benchmark for the positioning accuracy in this framework. Secondly, to improve the estimation performance, Bayesian non-parametric modeling, namely Gaussian processes, have been adopted to provide more accurate and flexible models for both dynamic motions and radio signal strength measurements. Then, the Cramér-Rao bounds for Gaussian process based system models are derived and evaluated in an indoor positioning scenario. In addition, we estimate the positions of stationary devices by comparing the individual signal strength measurements with a pre-constructed fingerprinting database. The positioning accuracy is further compared to the case where a moving device is positioned using a time series of radio signal strength measurements. Moreover, Gaussian processes have been applied to sports analytics, where trajectory modeling for athletes is studied. The proposed framework can be further utilized to carry out, for instance, performance prediction and analysis, health condition monitoring, etc. Finally, a grey-box modeling is proposed to analyze the forces, particularly in cross-country skiing races, by combining a deterministic kinetic model with Gaussian process.

Reliability and Statistics in Transportation and Communication

Author : Igor Kabashkin
Publisher : Springer
ISBN 13 : 3319744542
Total Pages : 677 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Reliability and Statistics in Transportation and Communication by : Igor Kabashkin

Download or read book Reliability and Statistics in Transportation and Communication written by Igor Kabashkin and published by Springer. This book was released on 2018-01-23 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 18 – 21, 2017. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering and data security issues, as well as practical problems in technical systems, such as transportation, and telecommunications.

Big Data Analytics in the Social and Ubiquitous Context

Author : Martin Atzmueller
Publisher : Springer
ISBN 13 : 3319290096
Total Pages : 195 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Big Data Analytics in the Social and Ubiquitous Context by : Martin Atzmueller

Download or read book Big Data Analytics in the Social and Ubiquitous Context written by Martin Atzmueller and published by Springer. This book was released on 2016-01-06 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 9 papers presented in this book are revised and significantly extended versions of papers submitted to three related workshops: The 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and the First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, which were held on September 15, 2014, in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2014) in Nancy, France; and the 5th International Workshop on Modeling Social Media (MSM 2014) that was held on April 8, 2014 in conjunction with ACM WWW in Seoul, Korea.

Video Based Machine Learning for Traffic Intersections

Author : Tania Banerjee
Publisher : CRC Press
ISBN 13 : 1000969770
Total Pages : 213 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Video Based Machine Learning for Traffic Intersections by : Tania Banerjee

Download or read book Video Based Machine Learning for Traffic Intersections written by Tania Banerjee and published by CRC Press. This book was released on 2023-10-17 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts

Road Traffic Modeling and Management

Author : Fouzi Harrou
Publisher : Elsevier
ISBN 13 : 0128234334
Total Pages : 270 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Road Traffic Modeling and Management by : Fouzi Harrou

Download or read book Road Traffic Modeling and Management written by Fouzi Harrou and published by Elsevier. This book was released on 2021-10-05 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Simulation Tools and Techniques

Author : Houbing Song
Publisher : Springer Nature
ISBN 13 : 3030322165
Total Pages : 682 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Simulation Tools and Techniques by : Houbing Song

Download or read book Simulation Tools and Techniques written by Houbing Song and published by Springer Nature. This book was released on 2019-10-23 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed post-conference proceedings of the 11th International Conference on Simulation Tools and Techniques, SIMUTools 2019, held in Chengdu, China, in August 2019. The 97 revised full papers were carefully selected from 156 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.

Applied Intelligence

Author : De-Shuang Huang
Publisher : Springer Nature
ISBN 13 : 9819708273
Total Pages : 373 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Applied Intelligence by : De-Shuang Huang

Download or read book Applied Intelligence written by De-Shuang Huang and published by Springer Nature. This book was released on with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

Author : M. Z. Naser
Publisher : Elsevier
ISBN 13 : 0128240741
Total Pages : 300 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure by : M. Z. Naser

Download or read book Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure written by M. Z. Naser and published by Elsevier. This book was released on 2023-10-18 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. - Presents the fundamentals of AI/ML and how they can be applied in civil and environmental engineering - Shares the latest advances in explainable and interpretable methods for AI/ML in the context of civil and environmental engineering - Focuses on civil and environmental engineering applications (day-to-day and extreme events) and features case studies and examples covering various aspects of applications

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.

Intelligent Systems and Sustainable Computing

Author : V. Sivakumar Reddy
Publisher : Springer Nature
ISBN 13 : 9811900116
Total Pages : 662 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Intelligent Systems and Sustainable Computing by : V. Sivakumar Reddy

Download or read book Intelligent Systems and Sustainable Computing written by V. Sivakumar Reddy and published by Springer Nature. This book was released on 2022-05-28 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of best selected research papers presented at the International Conference on Intelligent Systems and Sustainable Computing (ICISSC 2021), held in School of Engineering, Malla Reddy University, Hyderabad, India, during 24–25 September 2021. The book covers recent research in intelligent systems, intelligent business systems, soft computing, swarm intelligence, artificial intelligence and neural networks, data mining & data warehousing, cloud computing, distributed computing, big data analytics, Internet of Things (IoT), machine learning, speech processing, sustainable high-performance systems, VLSI and embedded systems, image and video processing, and signal processing and communication.

Artificial Intelligence and Machine Learning for Smart Community

Author : T V Ramana
Publisher : CRC Press
ISBN 13 : 1003835716
Total Pages : 182 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence and Machine Learning for Smart Community by : T V Ramana

Download or read book Artificial Intelligence and Machine Learning for Smart Community written by T V Ramana and published by CRC Press. This book was released on 2024-01-26 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.

Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 3030963020
Total Pages : 705 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) by : Ajith Abraham

Download or read book Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) written by Ajith Abraham and published by Springer Nature. This book was released on 2022-02-21 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.

Demand-based Data Stream Gathering, Processing, and Transmission

Author : Jonas Traub
Publisher : BoD – Books on Demand
ISBN 13 : 3753488941
Total Pages : 206 pages
Book Rating : 4.7/5 (534 download)

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Book Synopsis Demand-based Data Stream Gathering, Processing, and Transmission by : Jonas Traub

Download or read book Demand-based Data Stream Gathering, Processing, and Transmission written by Jonas Traub and published by BoD – Books on Demand. This book was released on 2021-04-28 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an end-to-end architecture for demand-based data stream gathering, processing, and transmission. The Internet of Things (IoT) consists of billions of devices which form a cloud of network connected sensor nodes. These sensor nodes supply a vast number of data streams with massive amounts of sensor data. Real-time sensor data enables diverse applications including traffic-aware navigation, machine monitoring, and home automation. Current stream processing pipelines are demand-oblivious, which means that they gather, transmit, and process as much data as possible. In contrast, a demand-based processing pipeline uses requirement specifications of data consumers, such as failure tolerances and latency limitations, to save resources. Our solution unifies the way applications express their data demands, i.e., their requirements with respect to their input streams. This unification allows for multiplexing the data demands of all concurrently running applications. On sensor nodes, we schedule sensor reads based on the data demands of all applications, which saves up to 87% in sensor reads and data transfers in our experiments with real-world sensor data. Our demand-based control layer optimizes the data acquisition from thousands of sensors. We introduce time coherence as a fundamental data characteristic. Time coherence is the delay between the first and the last sensor read that contribute values to a tuple. A large scale parameter exploration shows that our solution scales to large numbers of sensors and operates reliably under varying latency and coherence constraints. On stream analysis systems, we tackle the problem of efficient window aggregation. We contribute a general aggregation technique, which adapts to four key workload characteristics: Stream (dis)order, aggregation types, window types, and window measures. Our experiments show that our solution outperforms alternative solutions by an order of magnitude in throughput, which prevents expensive system scale-out. We further derive data demands from visualization needs of applications and make these data demands available to streaming systems such as Apache Flink. This enables streaming systems to pre-process data with respect to changing visualization needs. Experiments show that our solution reliably prevents overloads when data rates increase.

Wireless Algorithms, Systems, and Applications

Author : Dongxiao Yu
Publisher : Springer Nature
ISBN 13 : 3030590194
Total Pages : 151 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Wireless Algorithms, Systems, and Applications by : Dongxiao Yu

Download or read book Wireless Algorithms, Systems, and Applications written by Dongxiao Yu and published by Springer Nature. This book was released on 2020-09-08 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 12385 + 12386 constitutes the proceedings of the 15th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2020, which was held during September 13-15, 2020. The conference was planned to take place in Qingdao, China; due to the COVID-19 pandemic it was held virtually. The 67 full and 14 short papers presented in these proceedings were carefully reviewed and selected from 216 submissions. The papers focus on data path algorithms; control path algorithms; network protocol design; network security; network services; and cloud computing.

Intelligence of Things: Technologies and Applications

Author : Ngoc-Thanh Nguyen
Publisher : Springer Nature
ISBN 13 : 3031150635
Total Pages : 435 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Intelligence of Things: Technologies and Applications by : Ngoc-Thanh Nguyen

Download or read book Intelligence of Things: Technologies and Applications written by Ngoc-Thanh Nguyen and published by Springer Nature. This book was released on 2022-08-22 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First Conference on Intelligence of Things (ICIT 2022), held in Hanoi, Vietnam, in August 2022. A total of 40 full papers in this book have been rigorously peer-reviewed and selected from over 100 submissions. The papers focused on the intelligence of things (AIoT) studies are organized in the following parts: theoretical intelligence analyses, intelligence services and applications, and intelligence service experiments. This book provides interested students and engineers with comprehensive and cutting-edge studies in the fields.

Recent Advances in Traffic Engineering

Author : Ashish Dhamaniya
Publisher : Springer Nature
ISBN 13 : 9819944643
Total Pages : 618 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Recent Advances in Traffic Engineering by : Ashish Dhamaniya

Download or read book Recent Advances in Traffic Engineering written by Ashish Dhamaniya and published by Springer Nature. This book was released on 2023-10-28 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select peer-reviewed proceedings of the National Conference on Recent Advances in Traffic Engineering (RATE 2022). The contents includes in-depth insights into the domain of traffic engineering and planning and presents the latest advancements by focusing on traffic engineering, traffic flow, road safety, advanced techniques for transportation surveys, and data collection. It covers topics including travel demand modeling and transportation planning issues. The contents of this book offer up-to-date and practical knowledge on different aspects of traffic engineering. It will be useful for researchers as well as practitioners.

Intelligent Data Engineering and Automated Learning – IDEAL 2016

Author : Hujun Yin
Publisher : Springer
ISBN 13 : 3319462571
Total Pages : 664 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2016 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2016 written by Hujun Yin and published by Springer. This book was released on 2016-09-12 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.