Computational Intelligence for Sustainable Transportation and Mobility
Computational Intelligence for Sustainable Transportation and Mobility

Author: Deepak Gupta

Publisher: Bentham Science Publishers

Published: 2021-12-16

Total Pages: 145

ISBN-13: 1681089440

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New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India

Computational Intelligence for Sustainable Transportation and Mobility
Computational Intelligence for Sustainable Transportation and Mobility

Author: Deepak Gupta; Suresh

Publisher:

Published: 2021-12-16

Total Pages: 150

ISBN-13: 9781681089454

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New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India

Computational Intelligence for Traffic and Mobility
Computational Intelligence for Traffic and Mobility

Author: Wuhong Wang

Publisher: Springer Science & Business Media

Published: 2012-12-12

Total Pages: 343

ISBN-13: 9491216805

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This book presents the new development of computation intelligence for traffic, transportation and mobility, the main contents include traffic safety, mobility analysis, intelligent transportation system, smart vehicle, transportation behavior, driver modeling and assistance, transportation risk analysis and reliability system analysis, vehicle operation and active safety, urban traffic management and planning.

Artificial Intelligence for Future Intelligent Transportation
Artificial Intelligence for Future Intelligent Transportation

Author: Rajesh Kumar Dhanaraj

Publisher: CRC Press

Published: 2024-01-09

Total Pages: 337

ISBN-13: 1000906833

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Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

Intelligent Urban Mobility
Intelligent Urban Mobility

Author: Muhammet Deveci

Publisher: Academic Press

Published: 2025-09-01

Total Pages: 0

ISBN-13: 0443341613

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'Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation' explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change, focusing on applied soft computing techniques, artificial intelligence, and fuzzy systems algorithms to help researchers and professionals seeking to mitigate congestion and emissions through sustainable mobility initiatives. Bridging theory and real-world practice, this book provides information on future studies to drive progress in redesigning city transportation to reduce environmental impact and carbon emissions, highlighting innovative models and frameworks for the analysis of mobility options and planning sustainable transport systems. Researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences interested in advancing sustainable urban mobility will find this to be a welcome reference offering technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options.• Provides an overview of the most recent advances in the development of decision support systems for the implementation of sustainable of urban mobility• Presents various urban mobility applications using artificial intelligence, applied soft computing techniques, and other decision support systems• Offers solutions for the design, development, and integration of sustainable urban transport options

Mobility Patterns, Big Data and Transport Analytics
Mobility Patterns, Big Data and Transport Analytics

Author: Constantinos Antoniou

Publisher: Elsevier

Published: 2018-11-27

Total Pages: 454

ISBN-13: 0128129719

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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

Toward Sustainable And Economic Smart Mobility: Shaping The Future Of Smart Cities
Toward Sustainable And Economic Smart Mobility: Shaping The Future Of Smart Cities

Author: Mahmoud Hashem Eiza

Publisher: World Scientific

Published: 2020-06-18

Total Pages: 212

ISBN-13: 1786347873

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During the last decade, developments in smart cars, mobile devices, internet of things and vehicular communications are revolutionizing the future of smart cities. With the rapid integration of these smart devices into our surroundings, we are heading to a new era of a highly connected and environmentally friendly ecosystem.This book offers a unique opportunity for the reader to explore state-of-the-art developments in applications, technologies (e.g., Big Data and artificial intelligence), services and research trends in smart mobility for smart cities. It also provides a reference for professionals and researchers in the areas of smart mobility (e.g., autonomous valet parking, passenger trajectory data, smart traffic control systems) and recent technical trends on their enabling technologies. The materials have been carefully selected to reflect the latest developments in the field with many novel contributions from academics and industry experts from around the world.

Computational Intelligence Techniques for Green Smart Cities
Computational Intelligence Techniques for Green Smart Cities

Author: Mohamed Lahby

Publisher: Springer Nature

Published: 2022-04-22

Total Pages: 418

ISBN-13: 3030964299

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This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

The Future of Intelligent Transport Systems
The Future of Intelligent Transport Systems

Author: George J. Dimitrakopoulos

Publisher: Elsevier

Published: 2020-02-19

Total Pages: 274

ISBN-13: 0128182822

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The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility. - Systematically presents the whole spectrum of next generation Intelligent Transport Systems (ITS) technologies - Integrates coverage of personalized mobility and digital assistants, big data analytics and autonomous driving - Includes end-of-chapter, open-ended questions that trigger thinking on the technological, managerial and regulatory aspects of ITS

Mobility 2040
Mobility 2040

Author: Galo Bowen

Publisher: Galo Bowen Bustamante

Published: 2021-08

Total Pages: 300

ISBN-13: 9781636763880

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U.S. transportation systems face a series of converging crises as population and industrial growth continue to push the limits of what can be supported. Electric vehicles, self-driving cars, artificial intelligence (AI), and the internet of things (IoT) all play a role in the solution; but how do the different pieces of this complex ecosystem fit together? Mobility 2040: Exploring the Emerging Trends Radically Transforming Transportation Systems in the U.S. walks you through how we arrived at the current predicament and explores the exciting mobility trends that offer hope for a better future. Journey across the country with author Galo Bowen as he interviews experts in transportation to lay the groundwork for seamless and sustainable mobility within the next twenty years. This book is for everyone; whether you are a private investor, public employee, policymaker, or simply an American commuter. Let it be your guide as we work together to build a more inclusive and sustainable transportation future.