Big Data Analytics in Traffic and Transportation Engineering Emerging Research and Opportunities

Big Data Analytics in Traffic and Transportation Engineering  Emerging Research and Opportunities
Author: Moridpour, Sara,Toran Pour, Alireza,Saghapour, Tayebeh
Publsiher: IGI Global
Total Pages: 188
Release: 2019-01-11
Genre: Technology & Engineering
ISBN: 9781522579441

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Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.

Emerging Technologies in Data Mining and Information Security

Emerging Technologies in Data Mining and Information Security
Author: Ajith Abraham,Paramartha Dutta,Jyotsna Kumar Mandal,Abhishek Bhattacharya,Soumi Dutta
Publsiher: Springer
Total Pages: 885
Release: 2018-09-01
Genre: Technology & Engineering
ISBN: 9789811314988

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The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

EMERGING TRAFFIC DATA

EMERGING TRAFFIC DATA
Author: NAGUI. ROUPHAIL
Publsiher: Unknown
Total Pages: 400
Release: 2020
Genre: Electronic Book
ISBN: 0128158190

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Emerging Networking Architecture and Technologies

Emerging Networking Architecture and Technologies
Author: Wei Quan
Publsiher: Springer Nature
Total Pages: 653
Release: 2023-01-31
Genre: Computers
ISBN: 9789811996979

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This book constitutes refereed proceedings of the First International Conference on Emerging Networking Architecture and Technologies, ICENAT 2022, held in Shenzhen, China, in October 2022. The 50 papers presented were thoroughly reviewed and selected from the 106 submissions. The volume focuses on the latest achievements in the field of emerging network technologies, covering the topics of emerging networking architecture, network frontier technologies, industry network applications and so on.

Emerging Trends in Intelligent and Interactive Systems and Applications

Emerging Trends in Intelligent and Interactive Systems and Applications
Author: Madjid Tavana,Nadia Nedjah,Reda Alhajj
Publsiher: Springer Nature
Total Pages: 1007
Release: 2020-12-17
Genre: Technology & Engineering
ISBN: 9783030637842

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This book reports on the proceeding of the 5th International Conference on Intelligent, Interactive Systems and Applications (IISA 2020), held in Shanghai, China, on September 25–27, 2020. The IISA proceedings, with the latest scientific findings, and methods for solving intriguing problems, are a reference for state-of-the-art works on intelligent and interactive systems. This book covers nine interesting and current topics on different systems’ orientations, including Analytical Systems, Database Management Systems, Electronics Systems, Energy Systems, Intelligent Systems, Network Systems, Optimization Systems, and Pattern Recognition Systems and Applications. The chapters included in this book cover significant recent developments in the field, both in terms of theoretical foundations and their practical application. An important characteristic of the works included here is the novelty of the solution approaches to the most interesting applications of intelligent and interactive systems.

Analysis of Travel Patterns from Cellular Network Data

Analysis of Travel Patterns from Cellular Network Data
Author: Nils Breyer
Publsiher: Linköping University Electronic Press
Total Pages: 32
Release: 2019-05-29
Genre: Electronic Book
ISBN: 9789176850558

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Traffic planners are facing a big challenge with an increasing demand for mobility and a need to drastically reduce the environmental impacts of the transportation system at the same time. The transportation system therefore needs to become more efficient, which requires a good understanding about the actual travel patterns. Data from travel surveys and traffic counts is expensive to collect and gives only limited insights on travel patterns. Cellular network data collected in the mobile operators infrastructure is a promising data source which can provide new ways of obtaining information relevant for traffic analysis. It can provide large-scale observations of travel patterns independent of the travel mode used and can be updated easier than other data sources. In order to use cellular network data for traffic analysis it needs to be filtered and processed in a way that preserves privacy of individuals and takes the low resolution of the data in space and time into account. The research of finding appropriate algorithms is ongoing and while substantial progress has been achieved, there is a still a large potential for better algorithms and ways to evaluate them. The aim of this thesis is to analyse the potential and limitations of using cellular network data for traffic analysis. In the three papers included in the thesis, contributions are made to the trip extraction, travel demand and route inference steps part of a data-driven traffic analysis processing chain. To analyse the performance of the proposed algorithms, a number of datasets from different cellular network operators are used. The results obtained using different algorithms are compared to each other as well as to other available data sources. A main finding presented in this thesis is that large-scale cellular network data can be used in particular to infer travel demand. In a study of data for the municipality of Norrköping, the results from cellular network data resemble the travel demand model currently used by the municipality, while adding more details such as time profiles which are currently not available to traffic planners. However, it is found that all later traffic analysis results from cellular network data can differ to a large extend based on the choice of algorithm used for the first steps of data filtering and trip extraction. Particular difficulties occur with the detection of short trips (less than 2km) with a possible under-representation of these trips affecting the subsequent traffic analysis.

Emerging Research in Cloud Distributed Computing Systems

Emerging Research in Cloud Distributed Computing Systems
Author: Bagchi, Susmit
Publsiher: IGI Global
Total Pages: 447
Release: 2015-03-31
Genre: Computers
ISBN: 9781466682146

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Traditional computing concepts are maturing into a new generation of cloud computing systems with wide-spread global applications. However, even as these systems continue to expand, they are accompanied by overall performance degradation and wasted resources. Emerging Research in Cloud Distributed Computing Systems covers the latest innovations in resource management, control and monitoring applications, and security of cloud technology. Compiling and analyzing current trends, technological concepts, and future directions of computing systems, this publication is a timely resource for practicing engineers, technologists, researchers, and advanced students interested in the domain of cloud computing.

Highway Traffic Monitoring and Data Quality

Highway Traffic Monitoring and Data Quality
Author: Michael Dalgleish,Neil Hoose
Publsiher: Artech House Publishers
Total Pages: 233
Release: 2008
Genre: Technology & Engineering
ISBN: 1580537154

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"The first-of-its-kind book presents state-of-the-art traffic monitoring and analysis methods, helping professionals make the most of their data collection and assessment efforts. This unique resource offers a hands-on understanding of the latest sensors, processors, and communication links for everything from vehicle counts to urban congestion measurement. Moreover, practitioners learn statistical techniques for quantifying data accuracy and reducing uncertainly in both current system state assessments and future system slate forecasts."--BOOK JACKET.