11063nam 2200505 450 991063247170332120231110220839.0981-19-7622-8(MiAaPQ)EBC7147177(Au-PeEL)EBL7147177(CKB)25483505300041(PPN)266353231(EXLCZ)992548350530004120230410d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent transportation systems theory and practice /Amit Kumar Tyagi and Niladhuri SreenathSingapore :Springer,[2023]©20231 online resource (407 pages)Disruptive Technologies and Digital Transformations for Society 5. 0 Print version: Tyagi, Amit Kumar Intelligent Transportation Systems: Theory and Practice Singapore : Springer,c2023 9789811976216 Includes bibliographical references.Intro -- Preface -- Acknowledgements -- Contents -- About the Authors -- 1 Introduction to Intelligent Transportation System -- 1.1 Introduction -- 1.2 Background/Literature Review -- 1.3 Intelligent Transportation Technologies, Evolution and History -- 1.4 Future of Intelligent Transportation Systems in Smart Cities -- 1.4.1 Analyzing Public Attitudes and Perceptions from Cyber Sources -- 1.4.2 CSP Traffic Network Modeling -- 1.5 Cooperative System Over the Road Network -- 1.6 Smart Transportation System -- 1.7 Current Trends in Intelligent Transportation Systems (ITSs) -- 1.8 Intelligent Cities and Related Artificial Intelligence Techniques Reviews -- 1.9 Critical Issues and Challenges in Intelligent Transportation System -- 1.10 Current Issues and Challenges in Wired, Wireless, and Vehicular Technology -- 1.11 Conclusion -- References -- 2 Intelligent Transportation System: Past, Present, and Future -- 2.1 Introduction -- 2.2 Background/Literature Review -- 2.3 History of Intelligent Transportation System -- 2.3.1 Early History -- 2.3.2 The 1980s -- 2.3.3 The 1990s -- 2.3.4 The 2000s -- 2.3.5 The 2010s -- 2.3.6 2015-2020 -- 2.3.7 2021-The Future -- 2.4 Existing Intelligent Transportation System (ITS) -- 2.4.1 Traffic Management Center (TMC) -- 2.4.2 Dynamic Message Sign (DMS) -- 2.4.3 Lane Control and Variable Speed Limit Signs (LCS and VSL) -- 2.4.4 Overheight Vehicle Detection Systems (OVDS) -- 2.5 Fundamental Problems in Indian Transportation System -- 2.5.1 Faculty Planning of Transport System -- 2.5.2 Lack of Rail Road Coordination -- 2.5.3 Worn Out and Obsolete Assets -- 2.5.4 Improved Technology -- 2.6 Solutions for the Problems in Indian Transportation System -- 2.7 Future of Intelligent Transportation System -- 2.7.1 Traffic Management Center (TMC) -- 2.7.2 Automatic Incident Detection (AID) Systems -- 2.7.3 Impact on Road Safety.2.8 A Connected Environment for Smart Mobility -- 2.9 Intelligent Transportation System Applications -- 2.9.1 Road Safety Application -- 2.9.2 Traffic Management Applications -- 2.9.3 Autonomous Driving Applications -- 2.9.4 Infotainment and Comfort Applications -- 2.9.5 Emergency Vehicle Notification Systems -- 2.10 Intelligent Transportation System Early Findings -- 2.10.1 Traffic Signal Control -- 2.10.2 Traffic Management and Surveillance -- 2.10.3 Incident Management -- 2.10.4 Electronic Toll Collection (ETC) -- 2.10.5 Transit Management -- 2.10.6 Commercial Vehicle Operations (CVO) -- 2.10.7 Vehicle Control Technologies -- 2.10.8 Human Factors -- 2.11 Conclusion -- References -- 3 Applications of Vehicles and Its Related Technology in Previous and the Next Decade -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Applications of 4G-Based Versus 5G-Based Vehicles -- 3.4 Next-Generation (NG)-Based Future Vehicles -- 3.4.1 Next-Generation Vehicle Concepts -- 3.4.2 Next Generation-Energy Management Technologies -- 3.4.3 Next Generation-Future Powertrain Technologies -- 3.4.4 Next Generation-Mechatronic Chassis Technologies -- 3.4.5 Next Generation-Vehicle Intelligence -- 3.4.6 Next Generation-Body Development and Technologies -- 3.5 Hyperloop Transportation System -- 3.5.1 Basic Principle, Construction, and Working of Hyperloop Transportation System -- 3.6 Electric Vehicles -- 3.7 Hybrid Vehicles -- 3.7.1 Cost -- 3.7.2 Fuel Economy -- 3.7.3 Infrastructure Availability -- 3.7.4 Emissions -- 3.7.5 Batteries -- 3.8 Connected Vehicles -- 3.8.1 Why Connected Vehicle Technologies are Needed -- 3.8.2 How Connected Vehicles Work -- 3.8.3 How Connected Vehicles Will Improve Safety -- 3.8.4 How Connected Vehicles Will Keep People Moving -- 3.9 Vehicle Data Collection, Emerging Vehicle, and Intelligent Transport Technology -- 3.9.1 Vehicle Data Collection.3.9.2 Emergency Vehicle Notification System -- 3.9.3 Intelligent Transportation Technology -- 3.9.4 Video Vehicle Detection -- 3.9.5 Audio Detection -- 3.9.6 Sensing -- 3.9.7 Inductive Loop Detection -- 3.10 Other Vehicles -- 3.10.1 Self-driving Cars -- 3.10.2 Autonomous Motorbikes -- 3.10.3 Applications of Artificial Intelligence in Transport -- 3.10.4 Autonomous Vehicles -- 3.11 Applications of Vehicles Connected Through Intelligent Transportation System -- 3.12 Conclusion -- References -- 4 Autonomous Vehicles and Intelligent Transportation Systems-A Framework of Intelligent Vehicles -- 4.1 Introduction -- 4.1.1 Six Levels of Autonomous Vehicles -- 4.1.2 Autonomous Vehicle Advantages -- 4.2 Related Work -- 4.3 Autonomous Intelligent Vehicles -- 4.3.1 Objectives of Autonomous Vehicles -- 4.3.2 Autonomous Intelligent Vehicles (AIV) Mobile Robots -- 4.4 Autonomous Vehicles -- 4.4.1 Early Advances in Autonomous Vehicles -- 4.4.2 Obstacles to Adoption of Autonomous Cars Technology -- 4.5 A Framework of Intelligent Vehicles/ITS -- 4.5.1 Region Correspondence of Driving Brain and Human Brain Functions -- 4.5.2 Framework Based on Driving Brain -- 4.6 Issues and Challenges in Autonomous Intelligent Vehicles -- 4.6.1 Improved Safety -- 4.6.2 Privacy Protection Towards Autonomous Intelligent Vehicles -- 4.6.3 Business Opportunities and Increasing Revenue -- 4.6.4 Ease of Use and Convenience -- 4.6.5 Improving Traffic Conditions -- 4.6.6 Autonomous Parking -- 4.6.7 Byer-Driven Methodology -- 4.6.8 Others Services -- 4.7 Research Opportunities in Autonomous Intelligent Vehicles -- 4.7.1 Implementation of Computer Vision in Autonomous Intelligent Vehicles -- 4.7.2 Implementation of Machine and Deep Learning Techniques -- 4.7.3 Sensors, Communications, and Control in Autonomous Intelligent Vehicles -- 4.7.4 Decision-Making for Autonomous Intelligent Vehicles.4.7.5 Real-World Tests of Autonomous Intelligent Vehicles -- 4.8 Problems with IPv4, IPv6, and Future with IPv9 of Vehicles -- 4.8.1 Problems with IPv4 -- 4.8.2 Problems with IPv6 -- 4.8.3 Future with IPv9 -- 4.9 A Survey on Autonomous Vehicles in Highway Scenarios -- 4.10 Conclusion -- References -- 5 Vehicle Localization and Navigation -- 5.1 Introduction -- 5.1.1 Sensors and Instrumentation -- 5.1.2 Localization System Designs for Autonomous Driving -- 5.1.3 Relative Localization -- 5.2 Related Work -- 5.3 Message Passing in the Internet of Things (IoT)-Based Cloud Vehicles -- 5.3.1 Perception Layer -- 5.3.2 Network Layer -- 5.3.3 Application Layer -- 5.4 Vehicle Localization and Navigation -- 5.4.1 Dead Reckoning and Inertial Navigation -- 5.4.2 Acoustic Navigation -- 5.4.3 Geophysical Navigation -- 5.4.4 Optical Navigation -- 5.4.5 Simultaneous Location and Mapping (SLAM) -- 5.4.6 Sensor Fusion -- 5.5 Road Detection and Tracking -- 5.6 Integrated Global Positioning System (GPS)-Enabled Vehicles -- 5.7 Multiple Sensor-Based Multiple-object Tracking -- 5.8 Vehicle Navigation and Tracking in the Internet of Things (IoT)-Based Cloud Vehicles -- 5.9 Issues and Challenges in Vehicle Localization and Navigation -- 5.10 Conclusion and Future of Localization in Autonomous Driving -- References -- 6 Environmental Sustainability for Intelligent Transportation System -- 6.1 Introduction -- 6.1.1 Mobile Infrastructure -- 6.1.2 Static Infrastructure -- 6.2 Background/Literature Review -- 6.3 Mobile Elements of Intelligent Transportation System/Intelligent Vehicles -- 6.3.1 Vehicle Operation -- 6.3.2 Navigation -- 6.3.3 Driver -- 6.4 Types of Intelligent Transport Systems (ITS) -- 6.5 Environment Sustainability in Intelligent Transport Systems -- 6.6 Techniques for Environmental Sustainability in Intelligent Transport Systems.6.7 Challenges in Environmental Sustainability in Intelligent Transportation System -- 6.7.1 Reducing Costs -- 6.7.2 Responding to Stakeholder Influences -- 6.7.3 Achieving Competitive Advantage -- 6.7.4 Strategic Position -- 6.7.5 Environmental Impact Assessment -- 6.7.6 Priorities and Policies -- 6.7.7 Budgets -- 6.8 Environmental Management Systems for Intelligent Transportation System -- 6.8.1 Information and Data Capture -- 6.8.2 Life-Cycle Assessment (LCA) -- 6.8.3 Carbon Footprinting -- 6.8.4 Water Footprinting -- 6.9 Future Development of Intelligent Transportation System -- 6.9.1 Wireless Communication and Data Aggregation -- 6.9.2 Low-Tech Solutions -- 6.10 Conclusion -- References -- 7 Fog and Edge Computing in Navigation of Intelligent Transportation System -- 7.1 Introduction-Fog and Edge Computing -- 7.2 Related Work -- 7.3 Routing in the Internet of Things-Based Cloud Vehicles -- 7.4 Tracking and Navigating Intelligent Vehicles -- 7.4.1 Global Positioning System (GPS) -- 7.4.2 Radio Frequency Identification (RFID) -- 7.5 Security-Based Architecture Using Cloud Computing -- 7.5.1 Importance of Cloud Security Architecture -- 7.5.2 Cloud Security Core Capabilities -- 7.5.3 IaaS Cloud Computing Security Architecture -- 7.5.4 PaaS Cloud Computing Security Architecture -- 7.5.5 SaaS Cloud Computing Security Architecture -- 7.6 Secure, Privacy Preserved Architecture for Future Vehicles Using Fog Computing -- 7.6.1 Network Model -- 7.6.2 Security and Privacy-Preserving Approach -- 7.7 Secure, Privacy Preserved Architecture for Future Vehicles Using Edge Computing -- 7.7.1 Cloud Layer -- 7.7.2 Edge Cloud Layer -- 7.7.3 Smart Vehicular Layer -- 7.7.4 SDN-Supported Components -- 7.8 Recent Trends in Intelligent Transportation System -- 7.9 Future Research Opportunities for Edge Computing-Based Vehicles -- 7.9.1 Computation Offloading.7.9.2 Edge Computing and 5G.Disruptive Technologies and Digital Transformations for Society 5. 0 EngineeringEngineering.929.374Tyagi Amit Kumar1348158Sreenath NiladhuriMiAaPQMiAaPQMiAaPQBOOK9910632471703321Intelligent transportation systems3085319UNINA