| Description |
1 online resource (xx, 90 pages) : illustrations (some color) |
| Contents |
Intro -- Preface -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- About the Authors -- Abbreviations -- Chapter 1: Introduction to Explainable AI and Intelligent Transportation -- 1.1 Introduction -- 1.2 Intelligent Transportation Systems -- 1.3 AI and Infrastructure to Support ITS -- 1.4 Overview of ITS Applications -- 1.5 XAI in Aviation and Transportation System -- 1.6 Intelligent Transportation Systems Past, Present, and Future -- 1.7 Conclusion -- References -- Chapter 2: Intelligent Transportation Technology Enablers -- 2.1 Introduction -- 2.2 Autonomous Vehicles |
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2.3 HetVNETs -- 2.4 AVNS -- 2.5 FIT -- 2.6 Digital Maps -- 2.7 Conclusion -- References -- Chapter 3: Artificial Intelligent Algorithm Based on Energy Efficient Routing for ITS -- 3.1 Introduction -- 3.2 Background Study -- 3.3 Proposed Work: EER-SHO -- 3.4 Simulation Setting -- 3.5 Simulation Results -- 3.6 Conclusion -- References -- Chapter 4: Intelligent Transportation System: Modern Business Models -- 4.1 Introduction -- 4.2 ITS and Economic Growth -- 4.2.1 COVID-19 and ITS -- 4.3 Impact of ITS Advances on the Industry -- 4.4 ITS Business Models: Ticketing as a Service |
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4.5 Market Trend of ITS -- 4.6 Societal Impact of ITS -- 4.7 Conclusion -- References -- Chapter 5: Explainable AI in ITS: Ethical Concerns -- 5.1 AI and Sustainability -- 5.2 Transportation Network Applications -- 5.2.1 Accidents Detection -- 5.2.2 AI Predictive Models -- 5.2.3 AI in the Airline Industry -- 5.2.4 AI in Security -- 5.2.5 AI in Automatic Vehicle Location -- 5.3 Autonomous Driving Levels and Enablers -- 5.3.1 Level 0: There Is No Automation -- 5.3.2 Level 1: Driver Assistance -- 5.3.3 Level 2: Partial Automation -- 5.3.4 Level 3: Conditional Automation |
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5.3.5 Level 4: High Level of Automation -- 5.3.6 Level 5: Full Automation -- 5.4 Personalised Mobility Services and AI -- 5.5 Conclusion -- References |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed August 22, 2022) |
| Subject |
Intelligent transportation systems.
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Artificial intelligence.
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artificial intelligence.
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Artificial intelligence
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Intelligent transportation systems
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| Form |
Electronic book
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| Author |
Sahoo, Biswa Mohan, author.
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| ISBN |
9783031096440 |
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3031096444 |
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9788303109644 |
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8303109642 |
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