Machine Learning For Transportation Research And Applications

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• Author : Yinhai Wang,Zhiyong Cui,Ruimin Ke
• Publisher : Elsevier
• Release Date : 2023-05-12
• Total pages : 254
• ISBN : 9780323996808
• File Size : 40,9 Mb
• Total Download : 308
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Download Machine Learning for Transportation Research and Applications in PDF, Epub, and Kindle

Transportation issues are often too complicated to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle the challenging transportation problems. Readers will learn how to develop and apply different types of machine learning models to transportation related problems. Example applications include transportation data generations, traffic sensing, transportation mode recognition, transportation system management and control, traffic flow prediction, and traffic safety analysis. Introduces fundamental machine learning theories and methodologies Presents state-of-the-art machine learning methodologies and their integrations with transportation domain knowledge Includes case studies or examples in each chapter that illustrate the application of methodologies and techniques for solving transportation problems

• Author : Anonim
• Publisher : ScholarlyEditions
• Release Date : 2012-01-09
• Total pages : 508
• ISBN : 9781464966187
• File Size : 19,7 Mb
• Total Download : 252
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Download Issues in Transportation Research and Application: 2011 Edition in PDF, Epub, and Kindle

Issues in Transportation Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Transportation Research and Application. The editors have built Issues in Transportation Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Transportation Research and Application in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Transportation Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

• Author : Anonim
• Publisher : ScholarlyEditions
• Release Date : 2013-06-21
• Total pages : 1080
• ISBN : 9781481670982
• File Size : 31,6 Mb
• Total Download : 705
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Download Advances in Machine Learning Research and Application: 2013 Edition in PDF, Epub, and Kindle

Advances in Machine Learning Research and Application: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Artificial Intelligence. The editors have built Advances in Machine Learning Research and Application: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Artificial Intelligence in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Machine Learning Research and Application: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

• Author : Hiroshi Motoda,Zhaohui Wu,Longbing Cao,Osmar Zaiane,Min Yao,Wei Wang
• Publisher : Springer
• Release Date : 2013-12-16
• Total pages : 538
• ISBN : 9783642539176
• File Size : 34,7 Mb
• Total Download : 924
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Download Advanced Data Mining and Applications in PDF, Epub, and Kindle

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

• Author : Hassan, Said Ali,Mohamed, Ali Wagdy
• Publisher : IGI Global
• Release Date : 2021-06-25
• Total pages : 419
• ISBN : 9781799880424
• File Size : 11,9 Mb
• Total Download : 897
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Download Handbook of Research on Decision Sciences and Applications in the Transportation Sector in PDF, Epub, and Kindle

The advancements in decision sciences theory and applications can be regarded as a continuously emerging field in all areas of interest including technology, industry, energy, healthcare, education, agriculture, social sciences, and more. Managers in all disciplines face an endless list of complex issues every day. One of the essential managerial skills is the ability to allocate and utilize limited resources appropriately in the efforts of achieving optimal performance efficiently. This is no less important for those who work in the transportation sector. The Handbook of Research on Decision Sciences and Applications in the Transportation Sector explores the importance of decision sciences and the ways in which they apply to the transportation sector. This book covers technologies and tools including machine learning, mathematical modeling, and simulation and their applications in such tasks as reducing fuel costs, improving passenger flow, and ensuring vehicle safety. It is an essential reference source for managers, professionals in the transport industry, supply chain specialists, safety officers, IT consultants, executives, practitioners, scientists, students, researchers, and academicians.

• Author : Ran Yan,Shuaian Wang
• Publisher : Transportation
• Release Date : 2023-02-15
• Total pages : 0
• ISBN : 1839535598
• File Size : 38,9 Mb
• Total Download : 717
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Download Applications of Machine Learning and Data Analytics Models in Maritime Transportation in PDF, Epub, and Kindle

This book explores the principles of analysing maritime-transportation related practical problems using data-driven models, with a particular focus on machine learning. Coverage includes data-enabled methodologies, technologies, applications and case studies.

• Author : Fei Hu,Iftikhar Rasheed
• Publisher : CRC Press
• Release Date : 2023-05-12
• Total pages : 608
• ISBN : 9781000877250
• File Size : 38,8 Mb
• Total Download : 914
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Download Deep Learning and Its Applications for Vehicle Networks in PDF, Epub, and Kindle

Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.

• Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
• Publisher : IGI Global
• Release Date : 2019-12-13
• Total pages : 674
• ISBN : 9781522596455
• File Size : 54,9 Mb
• Total Download : 591
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Download Handbook of Research on Emerging Trends and Applications of Machine Learning in PDF, Epub, and Kindle

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

• Author : Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira
• Publisher : Elsevier
• Release Date : 2018-11-27
• Total pages : 452
• ISBN : 9780128129715
• File Size : 40,8 Mb
• Total Download : 851
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Download Mobility Patterns, Big Data and Transport Analytics in PDF, Epub, and Kindle

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

• Author : Laith Abualigah
• Publisher : Springer Nature
• Release Date : 2022-11-16
• Total pages : 287
• ISBN : 9783031175763
• File Size : 14,8 Mb
• Total Download : 891
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Download Classification Applications with Deep Learning and Machine Learning Technologies in PDF, Epub, and Kindle

This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release Date : 2022-05-13
• Total pages : 1516
• ISBN : 9781668462928
• File Size : 26,6 Mb
• Total Download : 755
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Download Research Anthology on Machine Learning Techniques, Methods, and Applications in PDF, Epub, and Kindle

Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.

• Author : Yinhai Wang,Ziqiang Zeng
• Publisher : Elsevier
• Release Date : 2018-12-04
• Total pages : 299
• ISBN : 9780128170274
• File Size : 50,5 Mb
• Total Download : 565
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Download Data-Driven Solutions to Transportation Problems in PDF, Epub, and Kindle

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

• Author : Fouzi Harrou,Abdelhafid Zeroual,Mohamad Mazen Hittawe,Ying Sun
• Publisher : Elsevier
• Release Date : 2021-10-05
• Total pages : 268
• ISBN : 9780128234334
• File Size : 51,5 Mb
• Total Download : 997
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Download Road Traffic Modeling and Management in PDF, Epub, and Kindle

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

• Author : Xiaobo Qu,Lu Zhen,Robert J. Howlett,Lakhmi C. Jain
• Publisher : Springer Nature
• Release Date : 2021-06-05
• Total pages : 182
• ISBN : 9789811623240
• File Size : 55,9 Mb
• Total Download : 641
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Download Smart Transportation Systems 2021 in PDF, Epub, and Kindle

This book gathers selected papers presented at the KES International Symposium on Smart Transportation Systems (KES-STS 2021). Modern transportation systems have undergone a rapid transformation in recent years, producing a range of technological innovations such as connected vehicles, self-driving cars, electric vehicles, Hyperloop, and even flying cars, and with them, fundamental changes in transport systems around the world. The book discusses current challenges, innovations, and breakthroughs in smart transportation systems, as well as transport infrastructure modelling, safety analysis, freeway operations, intersection analysis, and other related cutting-edge topics.

• Author : Farahani, Reza Zanjirani
• Publisher : IGI Global
• Release Date : 2012-12-31
• Total pages : 367
• ISBN : 9781466626928
• File Size : 20,8 Mb
• Total Download : 186
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Download Graph Theory for Operations Research and Management: Applications in Industrial Engineering in PDF, Epub, and Kindle

While typically many approaches have been mainly mathematics focused, graph theory has become a tool used by scientists, researchers, and engineers in using modeling techniques to solve real-world problems. Graph Theory for Operations Research and Management: Applications in Industrial Engineering presents traditional and contemporary applications of graph theory in the areas of industrial engineering, management science, and applied operations research. This comprehensive collection of research introduces the useful basic concepts of graph theory in real world applications.

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release Date : 2016-12-12
• Total pages : 3048
• ISBN : 9781522517603
• File Size : 9,7 Mb
• Total Download : 793
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Download Artificial Intelligence: Concepts, Methodologies, Tools, and Applications in PDF, Epub, and Kindle

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

• Author : Khaled R. Ahmed,Aboul Ella Hassanien
• Publisher : Springer Nature
• Release Date : 2021-04-10
• Total pages : 264
• ISBN : 9783030656614
• File Size : 42,6 Mb
• Total Download : 991
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Download Deep Learning and Big Data for Intelligent Transportation in PDF, Epub, and Kindle

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.

• Author : Mashrur Chowdhury,Amy Apon,Kakan Dey
• Publisher : Elsevier
• Release Date : 2017-04-05
• Total pages : 344
• ISBN : 9780128098516
• File Size : 31,8 Mb
• Total Download : 292
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Download Data Analytics for Intelligent Transportation Systems in PDF, Epub, and Kindle

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

• Author : Constantinos Antoniou,Dimitrios Efthymiou,Emmanouil Chaniotakis
• Publisher : Elsevier
• Release Date : 2019-12-02
• Total pages : 312
• ISBN : 9780128150191
• File Size : 15,7 Mb
• Total Download : 332
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Download Demand for Emerging Transportation Systems in PDF, Epub, and Kindle

Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns comprehensively examines the concepts and factors affecting user quality-of-service satisfaction. The book provides an introduction to the latest trends in transportation, followed by a critical review of factors affecting traditional and emerging transportation system adoption rates and user retention. This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis. Researchers will be guided through the nuances of transport and mobility services adoption, closing with an outlook of, and recommendations for, future research on the topic. This resource will appeal to practitioners and graduate students. Examines the dynamics affecting adoption rates for public transportation, vehicle-sharing, ridesharing systems and autonomous vehicles Covers the rationale behind travelers’ continuous use of mobility services and their satisfaction and development Includes case studies, featuring mobility stats and contributions from around the world

• Author : Ashok Kumar, L.,Karthika Renuka, Dhanaraj,Geetha, S.
• Publisher : IGI Global
• Release Date : 2022-12-09
• Total pages : 313
• ISBN : 9781668460030
• File Size : 43,5 Mb
• Total Download : 668
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Download Deep Learning Research Applications for Natural Language Processing in PDF, Epub, and Kindle

Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.

• Author : Pendyala, Vishnu S.
• Publisher : IGI Global
• Release Date : 2022-06-24
• Total pages : 307
• ISBN : 9781668440476
• File Size : 54,8 Mb
• Total Download : 479
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Download Machine Learning for Societal Improvement, Modernization, and Progress in PDF, Epub, and Kindle

Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all—however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improvement, Modernization, and Progress showcases the path-breaking applications of machine learning that are leading to the next generation of computing and living standards. The focus of the book is machine learning and its application to specific domains, which is resulting in substantial civilizational progress. Covering topics such as lifespan prediction, smart transportation networks, and socio-economic data, this premier reference source is a dynamic resource for data scientists, industry leaders, practitioners, students and faculty of higher education, sociologists, researchers, and academicians.