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Telematics And Contextual Data Analysis And Driving Risk Prediction
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Book Synopsis Telematics and Contextual Data Analysis and Driving Risk Prediction by : Sobhan Moosavi
Download or read book Telematics and Contextual Data Analysis and Driving Risk Prediction written by Sobhan Moosavi and published by . This book was released on 2020 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Characterizing driving style is about illustrating drivers' personalities and skills, by capturing variations in driving behavior that discriminate different drivers from each other. We propose a deep-neural-neural-network model to derive useful driving style information from telematics data.
Book Synopsis Driving Risk Evaluation Based on Telematics Data by : Guangyuan Gao
Download or read book Driving Risk Evaluation Based on Telematics Data written by Guangyuan Gao and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Telematics car driving data describes drivers' driving characteristics. This paper studies the predictive power of telematics data for claims frequency prediction. We first extract covariates from telematics car driving data using K-mediods clustering and principal components analysis. These telematics covariates are then used as explanatory variables for claims frequency modeling, in which we analyze their predictive power. Moreover, we use these telematics covariates to challenge the classical covariates usually used.
Book Synopsis Integration of Traditional and Telematics Data for Efficient Insurance Claims Prediction by : Kalugama Gardige Hashan Peiris
Download or read book Integration of Traditional and Telematics Data for Efficient Insurance Claims Prediction written by Kalugama Gardige Hashan Peiris and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While driver telematics has gained attention for risk classification in auto insurance, the scarcity of observations with telematics features has been problematic, which could be owing to either privacy concerns or adverse selection compared to the data points with traditional features. To handle this issue, we propose a data integration technique based on calibration weights. It is shown that the proposed technique can efficiently integrate the so-called traditional data and telematics data and also cope with possible adverse selection issues on the availability of telematics data. Our findings are supported by a simulation study and empirical analysis on a synthetic telematics dataset.
Book Synopsis Insurance Distribution Directive by : Pierpaolo Marano
Download or read book Insurance Distribution Directive written by Pierpaolo Marano and published by Springer Nature. This book was released on 2021 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access volume of the AIDA Europe Research Series on Insurance Law and Regulation offers the first comprehensive legal and regulatory analysis of the Insurance Distribution Directive (IDD). The IDD came into force on 1 October 2018 and regulates the distribution of insurance products in the EU. The book examines the main changes accompanying the IDD and analyses its impact on insurance distributors, i.e., insurance intermediaries and insurance undertakings, as well as the market. Drawing on interrelations between the rules of the Directive and other fields that are relevant to the distribution of insurance products, it explores various topics related to the interpretation of the IDD - e.g. the harmonization achieved under it; its role as a benchmark for national legislators; and its interplay with other regulations and sciences - while also providing an empirical analysis of the standardised pre-contractual information document. Accordingly, the book offers a wealth of valuable insights for academics, regulators, practitioners and students who are interested in issues concerning insurance distribution.--
Book Synopsis Actuarial Models for Understanding Driver Behavior with Telematics Data by : Banghee So
Download or read book Actuarial Models for Understanding Driver Behavior with Telematics Data written by Banghee So and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Powered with telematics technology, insurers can now capture a wide range of data to better decode driver's behavior, such as distance traveled and how drivers brake, accelerate or make turns. Such additional information helps insurers improve risk assessments for usage-based insurance (UBI), an increasingly popular industry innovation. In this thesis, we first explore how to integrate telematics information to improve understanding of driver heterogeneity, as well as to better predict accident counts. For motor insurance during a policy year, we typically observe a large proportion of drivers with zero accidents, a less proportion with exactly one accident, and far fewer with two or more accidents. We introduce the use of a cost-sensitive multi-class adaptive boosting algorithm, which we call SAMME.C2, to handle such imbalances in a classification model. Using the SAMME.C2 algorithm, we find improved assessment of driving behavior with telematics relative to traditional risk variables. We next demonstrate the theoretical justification of the SAMME.C2 algorithm in two respects: (1) it is equivalent to Forward Stagewise Additive Modeling with exponential loss, and (2) it is a Bayes classifier. When cost-sensitive learning is added, we find the superiority of SAMME.C2 in controlling for issues related to class imbalances, especially when compared to just the SAMME algorithm. We performed numerical experiments to better understand the distinguishing characteristics of the algorithm. Finally, this thesis describes the techniques employed in the production of a synthetic dataset of driver telematics that is emulated from a real insurance dataset. The method uses a three-stage process that involves deploying machine learning algorithms. It is aimed to produce a resource that can be used to advance models to assess risks for usage-based insurance. It is the hope of this work to provide and encourage the research community to explore innovative methods relevant to such data. The synthetic dataset produced includes 100,000 observations about driver's claims experience (both claim counts and amounts were generated) together with associated classical risk variables and telematics-related variables. We further show, using visualization, model fitting, and data summarization, how remarkable the similarities are between the synthetic and the real datasets.
Book Synopsis Data Profiling and Insurance Law by : Brendan McGurk
Download or read book Data Profiling and Insurance Law written by Brendan McGurk and published by Bloomsbury Publishing. This book was released on 2019-03-21 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The winner of the 2020 British Insurance Law Association Book Prize, this timely, expertly written book looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.
Book Synopsis Machine Intelligence for Research and Innovations by : Om Prakash Verma
Download or read book Machine Intelligence for Research and Innovations written by Om Prakash Verma and published by Springer Nature. This book was released on 2024-02-13 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.
Book Synopsis Performability in Internet of Things by : Fadi Al-Turjman
Download or read book Performability in Internet of Things written by Fadi Al-Turjman and published by Springer. This book was released on 2018-08-22 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the challenges in the convergence of technologies as the Internet of Things (IoT) evolves. These include sensing, computing, information processing, networking, and controlling intelligent technologies. The contributors first provide a survey of various assessment and evaluation approaches available for successful convergence. They then go on to cover several operational ideas to apply. The contributors then discuss the challenges involved bridging gaps in computation and the communication process, hidden networks, intelligent decision making, human-to-machine perception and large-scale IoT environments. The contributors aim to provide the reader an overview of trends in IoT in terms of performability and traffic modeling and efforts that can be spent in assessing the graceful degradation in IoT paradigms. Provides a survey of IoT assessment and evaluation approaches; Covers new and innovative operational ideas that apply to the IoT industry and the industries it affects; Includes chapters from researchers and industry leaders in IoT from around the world.
Book Synopsis Computational Actuarial Science with R by : Arthur Charpentier
Download or read book Computational Actuarial Science with R written by Arthur Charpentier and published by CRC Press. This book was released on 2014-08-26 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/
Book Synopsis Actuarial Modelling of Claim Counts by : Michel Denuit
Download or read book Actuarial Modelling of Claim Counts written by Michel Denuit and published by John Wiley & Sons. This book was released on 2007-07-27 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a wide range of variables for actuaries to consider when calculating a motorist’s insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists’ rates are subject to experience rating systems, including credibility mechanisms and Bonus Malus systems (BMSs). Actuarial Modelling of Claim Counts presents a comprehensive treatment of the various experience rating systems and their relationships with risk classification. The authors summarize the most recent developments in the field, presenting ratemaking systems, whilst taking into account exogenous information. The text: Offers the first self-contained, practical approach to a priori and a posteriori ratemaking in motor insurance. Discusses the issues of claim frequency and claim severity, multi-event systems, and the combinations of deductibles and BMSs. Introduces recent developments in actuarial science and exploits the generalised linear model and generalised linear mixed model to achieve risk classification. Presents credibility mechanisms as refinements of commercial BMSs. Provides practical applications with real data sets processed with SAS software. Actuarial Modelling of Claim Counts is essential reading for students in actuarial science, as well as practicing and academic actuaries. It is also ideally suited for professionals involved in the insurance industry, applied mathematicians, quantitative economists, financial engineers and statisticians.
Author :National Academies of Sciences, Engineering, and Medicine Publisher :National Academies Press ISBN 13 :0309392527 Total Pages :273 pages Book Rating :4.3/5 (93 download)
Book Synopsis Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety by : National Academies of Sciences, Engineering, and Medicine
Download or read book Commercial Motor Vehicle Driver Fatigue, Long-Term Health, and Highway Safety written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-09-12 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are approximately 4,000 fatalities in crashes involving trucks and buses in the United States each year. Though estimates are wide-ranging, possibly 10 to 20 percent of these crashes might have involved fatigued drivers. The stresses associated with their particular jobs (irregular schedules, etc.) and the lifestyle that many truck and bus drivers lead, puts them at substantial risk for insufficient sleep and for developing short- and long-term health problems. Commercial Motor Vehicle Driver Fatigue, Long-Term Health and Highway Safety assesses the state of knowledge about the relationship of such factors as hours of driving, hours on duty, and periods of rest to the fatigue experienced by truck and bus drivers while driving and the implications for the safe operation of their vehicles. This report evaluates the relationship of these factors to drivers' health over the longer term, and identifies improvements in data and research methods that can lead to better understanding in both areas.
Book Synopsis Human Factors in Driving, and Telematics, and Seating Comfort, 2005 by :
Download or read book Human Factors in Driving, and Telematics, and Seating Comfort, 2005 written by and published by . This book was released on 2005 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Inclusive Smart Cities and e-Health by : Antoine Geissbühler
Download or read book Inclusive Smart Cities and e-Health written by Antoine Geissbühler and published by Springer. This book was released on 2015-05-29 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 13th International Conference on Smart Homes and Health Telematics, ICOST 2015, held in Geneva, Switzerland, in June 2015. The 20 full papers and 16 short contributions included in this volume were carefully reviewed and selected from 45 submissions. They were organized in topical sections named: design and usability; assistive and sentient environments; human behavior and activities monitoring, and health IT and supportive technology. The book also contains 3 invited talks.
Book Synopsis Digital Revolution in Insurance by : Jagendra Rana
Download or read book Digital Revolution in Insurance written by Jagendra Rana and published by Blue Rose Publishers. This book was released on 2024-04-25 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital technology is a new force that is driving massive changes in the insurance sector. Digital insurance companies, otherwise known as InsurTech companies, are transforming the digital insurance landscape by offering ground-breaking insurance products through innovations. As digital transformation continues to change the way businesses operate and offer products and services to their customers, insurance industry is also getting reshaped by technology. While shopping for insurance policies, customers are looking for a personalised experience. Insurers are able to harness the results of AI to customize unique experiences for customers. For insurers, the changing landscape of insurance has led to a flurry of technological advancements in the industry. New digital technologies are changing the way customers interact with insurers.
Book Synopsis New Technologies, Artificial Intelligence and Shipping Law in the 21st Century by : Professor Barış Soyer
Download or read book New Technologies, Artificial Intelligence and Shipping Law in the 21st Century written by Professor Barış Soyer and published by Taylor & Francis. This book was released on 2019-08-05 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: New Technologies, Artificial Intelligence and Shipping Law in the 21st Century consists of edited versions of the papers delivered at the Institute of International Shipping and Trade Law’s 14th International Colloquium at Swansea Law School in September 2018. Written by a combination of top academics and highly experienced legal practitioners, these papers have been carefully co-ordinated to give the reader a first-class insight into the issues surrounding new technology and shipping. The book is set out in three parts: Part I offers a detailed and critical analysis of issues that are emerging, and those that are likely to emerge, from the use of advanced computer technology, particularly at the contracting process and in the context of issuing trading documents. Part 2 focusses on artificial intelligence and discusses the contemporary issues that will emerge once autonomous ships and similar crafts are put to use in the world’s oceans. As well as this, the legal impact of ports utilising artificial intelligence and computer technology will also be considered. Part 3 analyses how the increasing use of legal technology is changing insurance underwriting and shipping litigation. An invaluable guide to the recent technological advances in shipping, this book is vital reading for both professional and academic readers.
Download or read book Loss Models written by Stuart A. Klugman and published by John Wiley & Sons. This book was released on 2012-01-25 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: An update of one of the most trusted books on constructing and analyzing actuarial models Written by three renowned authorities in the actuarial field, Loss Models, Third Edition upholds the reputation for excellence that has made this book required reading for the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) qualification examinations. This update serves as a complete presentation of statistical methods for measuring risk and building models to measure loss in real-world events. This book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. Features of the Third Edition include: Extended discussion of risk management and risk measures, including Tail-Value-at-Risk (TVaR) New sections on extreme value distributions and their estimation Inclusion of homogeneous, nonhomogeneous, and mixed Poisson processes Expanded coverage of copula models and their estimation Additional treatment of methods for constructing confidence regions when there is more than one parameter The book continues to distinguish itself by providing over 400 exercises that have appeared on previous SOA and CAS examinations. Intriguing examples from the fields of insurance and business are discussed throughout, and all data sets are available on the book's FTP site, along with programs that assist with conducting loss model analysis. Loss Models, Third Edition is an essential resource for students and aspiring actuaries who are preparing to take the SOA and CAS preliminary examinations. It is also a must-have reference for professional actuaries, graduate students in the actuarial field, and anyone who works with loss and risk models in their everyday work. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep.
Book Synopsis Data Analytics for Intelligent Transportation Systems by : Mashrur Chowdhury
Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2017-04-05 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications
