Deep Learning And Big Data For Intelligent Transportation

Deep Learning And Big Data For Intelligent Transportation Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Deep Learning And Big Data For Intelligent Transportation book. This book definitely worth reading, it is an incredibly well-written.

Deep Learning and Big Data for Intelligent Transportation

Khaled R. Ahmed,Aboul Ella Hassanien
Deep Learning and Big Data for Intelligent Transportation Book PDF

Author : Khaled R. Ahmed,Aboul Ella Hassanien
Publisher : Springer Nature
Page : 264 pages
File Size : 48,7 Mb
Release : 2021-04-10
Category : Computers
ISBN : 9783030656614

Get Book

Deep Learning and Big Data for Intelligent Transportation by Khaled R. Ahmed,Aboul Ella Hassanien Pdf

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.

Data Analytics for Intelligent Transportation Systems

Mashrur Chowdhury,Amy Apon,Kakan Dey
Data Analytics for Intelligent Transportation Systems Book PDF

Author : Mashrur Chowdhury,Amy Apon,Kakan Dey
Publisher : Elsevier
Page : 344 pages
File Size : 42,8 Mb
Release : 2017-04-05
Category : Business & Economics
ISBN : 9780128098516

Get Book

Data Analytics for Intelligent Transportation Systems by Mashrur Chowdhury,Amy Apon,Kakan Dey Pdf

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

Big Data Analytics and Intelligent Techniques for Smart Cities

Kolla Bhanu Prakash,Janmenjoy Nayak,B tp Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas
Big Data Analytics and Intelligent Techniques for Smart Cities Book PDF

Author : Kolla Bhanu Prakash,Janmenjoy Nayak,B tp Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas
Publisher : CRC Press
Page : 297 pages
File Size : 44,7 Mb
Release : 2021-09-20
Category : Technology & Engineering
ISBN : 9781000413366

Get Book

Big Data Analytics and Intelligent Techniques for Smart Cities by Kolla Bhanu Prakash,Janmenjoy Nayak,B tp Madhhav,Sanjeevikumar Padmanaban,Valentina Emilia Balas Pdf

Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering. Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes

Handbook on Artificial Intelligence and Transport

Hussein Dia
Handbook on Artificial Intelligence and Transport Book PDF

Author : Hussein Dia
Publisher : Edward Elgar Publishing
Page : 649 pages
File Size : 54,9 Mb
Release : 2023-10-06
Category : Computers
ISBN : 9781803929545

Get Book

Handbook on Artificial Intelligence and Transport by Hussein Dia Pdf

With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.

Big Data Transportation Systems

Guanghui Zhao,Gusheng Zhu
Big Data Transportation Systems Book PDF

Author : Guanghui Zhao,Gusheng Zhu
Publisher : World Scientific
Page : 352 pages
File Size : 46,7 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9789811236013

Get Book

Big Data Transportation Systems by Guanghui Zhao,Gusheng Zhu Pdf

This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint strategies of big data transportation which include innovative models, planning, transportation logistics, and application case studies. Finally, the book discusses applications of big data transportation platforms.

Explainable Artificial Intelligence for Intelligent Transportation Systems

Loveleen Gaur,Biswa Mohan Sahoo
Explainable Artificial Intelligence for Intelligent Transportation Systems Book PDF

Author : Loveleen Gaur,Biswa Mohan Sahoo
Publisher : Springer Nature
Page : 103 pages
File Size : 50,8 Mb
Release : 2022-08-08
Category : Computers
ISBN : 9783031096440

Get Book

Explainable Artificial Intelligence for Intelligent Transportation Systems by Loveleen Gaur,Biswa Mohan Sahoo Pdf

Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence. Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment. The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.

Explainable Artificial Intelligence for Intelligent Transportation Systems

Amina Adadi,Afaf Bouhoute
Explainable Artificial Intelligence for Intelligent Transportation Systems Book PDF

Author : Amina Adadi,Afaf Bouhoute
Publisher : CRC Press
Page : 286 pages
File Size : 52,5 Mb
Release : 2023-10-20
Category : Technology & Engineering
ISBN : 9781000968439

Get Book

Explainable Artificial Intelligence for Intelligent Transportation Systems by Amina Adadi,Afaf Bouhoute Pdf

Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems

Mobility Patterns, Big Data and Transport Analytics

Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira
Mobility Patterns Big Data and Transport Analytics Book PDF

Author : Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira
Publisher : Elsevier
Page : 452 pages
File Size : 54,5 Mb
Release : 2018-11-27
Category : Social Science
ISBN : 9780128129715

Get Book

Mobility Patterns, Big Data and Transport Analytics by Constantinos Antoniou,Loukas Dimitriou,Francisco Pereira Pdf

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

Big Data and Smart Service Systems

Xiwei Liu,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu
Big Data and Smart Service Systems Book PDF

Author : Xiwei Liu,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu
Publisher : Academic Press
Page : 232 pages
File Size : 46,5 Mb
Release : 2016-11-23
Category : Technology & Engineering
ISBN : 9780128120408

Get Book

Big Data and Smart Service Systems by Xiwei Liu,Rangachari Anand,Gang Xiong,Xiuqin Shang,Xiaoming Liu Pdf

Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service Illustrates the concepts, framework, and application of big data and smart service systems Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy

Big Data Analysis and Deep Learning Applications

Thi Thi Zin,Jerry Chun-Wei Lin
Big Data Analysis and Deep Learning Applications Book PDF

Author : Thi Thi Zin,Jerry Chun-Wei Lin
Publisher : Springer
Page : 386 pages
File Size : 45,5 Mb
Release : 2018-06-06
Category : Technology & Engineering
ISBN : 9789811308697

Get Book

Big Data Analysis and Deep Learning Applications by Thi Thi Zin,Jerry Chun-Wei Lin Pdf

This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities.

Explainable AI for Intelligent Transportation Systems

Amina Adadi,Afaf Bouhoute
Explainable AI for Intelligent Transportation Systems Book PDF

Author : Amina Adadi,Afaf Bouhoute
Publisher : Unknown
Page : 0 pages
File Size : 43,5 Mb
Release : 2024
Category : Artificial intelligence
ISBN : 1032348534

Get Book

Explainable AI for Intelligent Transportation Systems by Amina Adadi,Afaf Bouhoute Pdf

"Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can be hardly explained. This can be very problematic especially for systems of a safety-critical nature such as transportation systems. Explainable AI methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. Examining explainable AI in the field of ITS, this book has the following key features: provides the necessary background for newcomers to the field (both academics and interested partitioners). presents a timely snapshot of explainable and interpretable models in ITS applications. discusses ethical, societal, and legal implications of adopting XAI in the context of ITS. identifies future research directions and open problems"--

Intelligent Transportation Systems: Theory and Practice

Amit Kumar Tyagi,Niladhuri Sreenath
Intelligent Transportation Systems Theory and Practice Book PDF

Author : Amit Kumar Tyagi,Niladhuri Sreenath
Publisher : Springer Nature
Page : 407 pages
File Size : 55,8 Mb
Release : 2022-11-25
Category : Technology & Engineering
ISBN : 9789811976223

Get Book

Intelligent Transportation Systems: Theory and Practice by Amit Kumar Tyagi,Niladhuri Sreenath Pdf

This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.

Smart Transportation

Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo
Smart Transportation Book PDF

Author : Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo
Publisher : CRC Press
Page : 224 pages
File Size : 50,5 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9781000405651

Get Book

Smart Transportation by Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo Pdf

The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.

Machine Learning for Big Data Analysis

Siddhartha Bhattacharyya,Hrishikesh Bhaumik,Anirban Mukherjee,Sourav De
Machine Learning for Big Data Analysis Book PDF

Author : Siddhartha Bhattacharyya,Hrishikesh Bhaumik,Anirban Mukherjee,Sourav De
Publisher : Walter de Gruyter GmbH & Co KG
Page : 193 pages
File Size : 51,9 Mb
Release : 2018-12-17
Category : Computers
ISBN : 9783110551433

Get Book

Machine Learning for Big Data Analysis by Siddhartha Bhattacharyya,Hrishikesh Bhaumik,Anirban Mukherjee,Sourav De Pdf

This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research.

Data Analytics for Smart Cities

Amir Alavi,William G. Buttlar
Data Analytics for Smart Cities Book PDF

Author : Amir Alavi,William G. Buttlar
Publisher : CRC Press
Page : 243 pages
File Size : 46,6 Mb
Release : 2018-10-26
Category : Computers
ISBN : 9780429786624

Get Book

Data Analytics for Smart Cities by Amir Alavi,William G. Buttlar Pdf

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.