Sustainable Mobility : Policies, Challenges and Advancements

• Autore: Ashwani Kumar
• Pubblicazione: Wiley, 2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (324 pages)
• Disciplina: 388
• Soggetto topico: Sustainable transportation; Electric vehicles
• Altri autori: PrasadArbind KumarGaurav
• Nota di contenuto: Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Aim and Scope -- Preface -- Acknowledgement -- Chapter 1 Sustainable Mobility: Clean Energy Integration with Electric Vehicle Technology -- 1.1 Introduction -- 1.2 Transportation and Carbon Emission -- 1.3 Transportation Electrification -- 1.4 Electric Vehicle Integration with Renewable Sources -- 1.5 Solar Energy -- 1.6 Wind Energy -- 1.7 Integration with the Grid -- 1.8 State-of-the-Art Methods -- 1.9 Opportunities and Challenges -- 1.10 Conclusion -- Acknowledgement -- References -- Chapter 2 Sustainable Mobility Policies in Developed and Developing Countries -- 2.1 Introduction -- 2.2 Pollution by Air and Effect of Greenhouse Gases -- 2.3 Promotion of Cycling and Walking -- 2.4 Sustainable Trade and Global Governance -- 2.4.1 Socioeconomic Impacts -- 2.4.2 Technology Aspects -- 2.4.3 Role of Smart Connectivity in Sustainable Mobility -- 2.5 Discussion -- 2.6 Conclusion -- References -- Chapter 3 Transitions from IC Engine to EV and HEV: Current Status of EV in India -- 3.1 Introduction -- 3.2 Changing Electric Vehicles Trend -- 3.3 Case Study: Maruti Suzuki and EV Market -- 3.4 Numerous Downsides to Electric Cars -- 3.4.1 Ultra Expensive -- 3.4.2 Transport Not a Considerable Contributor to Emissions -- 3.4.3 Batteries as the Major Emitter -- 3.4.4 Need of Societal Change -- 3.5 Zero Emissions is a Myth -- 3.6 Prolonged Charging Time -- 3.7 Carbon Footprints -- 3.8 Degrading Battery Performance from Fast Charging -- 3.9 Underdeveloped Charging Infrastructure -- 3.10 Impractical for Inner-City Inhabitants and Lack of Resale Value -- 3.11 Reasons Behind Slow Adoption of Electric Vehicles in India -- 3.12 Conclusion -- References -- Chapter 4 Alternative Source Systems of In-Vehicle Electricity Production -- 4.1 Introduction -- 4.2 Electric Vehicles (EVs). ; 4.3 Passenger Electric Vehicle -- 4.3.1 Plug-In Battery Electric Vehicle (PBEV) -- 4.3.2 Plug-In Hybrid Electric Vehicle (PHEV) -- 4.3.3 Hybrid Electric Vehicles (HEV) -- 4.3.4 Commercial Electric Vehicle -- 4.3.4.1 Plug-In Battery Electric Vehicles -- 4.3.4.2 Plug-In Hybrid Electric Vehicles -- 4.3.4.3 Hydraulic Hybrid Electric Vehicle -- 4.4 Integration of Different Renewable Energy Resources with Power System of In-Vehicle Electricity Production -- 4.4.1 Fuel Cell Electric Vehicles (FCEVs) -- 4.4.2 Electric Vehicle Integration with Wind Energy -- 4.4.3 Electric Vehicle Integration with Solar Energy -- 4.4.4 Distribution Grid Management with Electrical Network -- 4.5 Factors Affecting Adoption of Alternative Fuel Vehicles -- 4.6 Conclusion on Market Penetration of Alternative Fuel Vehicles -- References -- Chapter 5 Autonomous Navigation of Unmanned Aerial Vehicle Using Reinforcement Learning -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Technology Used -- 5.3.1 System Architecture Overview -- 5.3.2 Reinforcement Learning and Control -- 5.3.3 Elements of Reinforcement Learning -- 5.4 Markov Decision Process (MDP) -- 5.4.1 Value Function and Action-Value Function -- 5.4.2 Q-Learning Algorithm -- 5.4.3 SARSA Algorithm -- 5.4.4 Robot Operating System (ROS) -- 5.5 Implementation: Flow of the Project Flow -- 5.6 Controller Design of Unmanned Aerial Vehicle (UAV) -- 5.6.1 Controller Design -- 5.6.2 Training Procedure of UAV -- 5.7 Results and Discussion -- 5.7.1 Experimental Results -- 5.8 Conclusion and Future Scope -- References -- Chapter 6 IoT-Based Automatic Vehicle Accident & -- Rash Driving Alert System -- 6.1 Introduction -- 6.2 Problem and Necessity -- 6.3 Need for the System -- 6.3.1 IoT Architecture -- 6.3.2 Sonar Sensor -- 6.3.3 Data Processing and Analysis -- 6.4 User Interface and Reporting -- 6.4.1 Results and Impact. ; 6.4.2 Challenges and Limitations -- 6.4.3 Future Enhancements -- 6.4.4 Architectural Design of the Work -- 6.6 Implementation: Tools for Controlling & -- Processing -- 6.7 Hardware Setup -- 6.7.1 Result -- 6.7.2 Conclusion -- 6.8 Applications -- Bibliography -- Chapter 7 Mobile Edge Communication, Computing and Caching (MEC3) in Vehicle Communication -- 7.1 Introduction to MEC3 in Vehicle Communication -- 7.2 What is Mobile EDGE? -- 7.2.1 Advantages of Mobile EDGE Computing -- 7.3 Mobile Edge Communication (MEC) -- 7.3.1 How We Can Use MEC -- 7.3.2 Opportunities in Mobile Edge Computing -- 7.3.3 Challenges of Mobile Edge Computing -- 7.3.4 Mobile Edge Computing Uses -- 7.3.5 Multi-Access vs. Mobile Edge Computing -- 7.3.6 Mobile Edge Computing Importance -- 7.4 Mobile Edge Caching -- 7.4.1 The Architecture of Mobile Edge Caching -- 7.5 Technology Description -- 7.5.1 Advantages and Disadvantages of MEC3 -- 7.6 Applications of MEC3 -- 7.7 Conclusion -- Bibliography -- Chapter 8 IoT-Based Automatic Vehicle Tracking and Accident Alert System -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Methodology -- 8.4 Programming Code -- 8.5 Results and Discussion -- 8.6 Conclusion and Future Scope -- Bibliography -- Chapter 9 Interfacing of GPS and GSM with the Help of NodeMCU for Vehicle Monitoring and Tracking -- 9.1 Introduction -- 9.2 Problem Statement -- 9.3 Literature Review -- 9.4 Monitoring and Tracking of Vehicles -- 9.5 Result and Discussion -- 9.6 Conclusion -- References -- Chapter 10 A Comprehensive Analysis of Cell Balancing in BMS for Electric Vehicle -- 10.1 Introduction -- 10.2 Cell Balancing Methods -- 10.2.1 Passive Cell Balancing -- 10.2.1.1 Proposed Block Diagram of Passive Cell Balancing -- 10.2.2 Active Cell Balancing -- 10.3 Proposed Topology -- 10.3.1 Working Modes for Two Cells -- 10.3.2 Algorithm for Two Cells Balancing. ; 10.3.2.1 Block Diagram of Proposed Active Cell Balancing for Two Cell -- 10.3.3 SOC-Voltage-Based Inductive Buck Boost Active Cell Balancing -- 10.4 Conclusion -- References -- Chapter 11 Analyzing and Testing of Fuel Cell Hybrid Electric Vehicles -- 11.1 Introduction -- 11.2 Battery Management System -- 11.2.1 Classification -- 11.2.2 Challenges of Fuel Cell Hybrid Electric Vehicles -- 11.3 System Setup -- 11.3.1 Block Diagram -- 11.3.2 Components -- 11.3.3 System Methodology -- 11.4 Simulations -- 11.4.1 Efficiency and Continuous Torque Capability -- 11.4.2 National Renewable Energy Laboratory (NREL) -- 11.4.3 Output Graphs -- 11.5 Conclusion -- References -- Chapter 12 Cyberattacks, Threats and Challenges of Cybersecurity: An Outline -- 12.1 Introduction -- 12.2 Background Work -- 12.3 Security Properties and CIA Triad -- 12.3.1 Confidentiality -- 12.3.2 Integrity -- 12.3.3 Availability -- 12.4 Types of Cyber Threats -- 12.4.1 Cybercrime -- 12.4.2 Cyber Terrorism -- 12.4.3 Cyber Warfare -- 12.5 Types of Cyberattacks -- 12.5.1 Denial of Service -- 12.5.2 Trojan Horse -- 12.5.3 Malware -- 12.5.4 SQL Injection Attack -- 12.5.5 Man-in-the-Middle -- 12.5.6 Reconnaissance Attack -- 12.6 Challenges in Cybersecurity -- 12.6.1 Cybersecurity Challenges in Education -- 12.6.2 Cybersecurity Challenges in Smart Grid -- 12.6.3 Cybersecurity Challenges in IoT and Cloud Computing -- 12.6.4 Cybersecurity Challenges in Connected Home Ecosystem -- 12.7 Bibliometric Analysis and Discussion -- 12.8 Conclusion -- References -- Chapter 13 Opportunities and Challenges of Data-Driven Cybersecurity for Smart Cities: Blockchain-Driven Approach -- 13.1 Introduction -- 13.2 Background Work -- 13.3 Attacks on the Layers of IoT-Enabled Smart City -- 13.4 Issues and Challenges in Smart Cities -- 13.5 Blockchain and its Types -- 13.6 Smart City Issues with Blockchain. ; 13.7 Conclusion -- References -- Chapter 14 On Renewable Energy Source Selection Problem Using T-Spherical Fuzzy Soft Dombi Aggregation Operators -- 14.1 Introduction -- 14.2 Preliminaries -- 14.3 T-Spherical Fuzzy Soft Dombi Aggregation Operators -- 14.4 Application of T-Spherical Fuzzy Soft Dombi Aggregation Operators in Renewable Energy Source Selection -- 14.5 Conclusion and Scope for Future Work -- References -- Chapter 15 Detection of Weather with Hypothesis Testing Performed Through VGG19 Model Utilizing Adam Optimizer -- 15.1 Introduction -- 15.2 Literature -- 15.3 Input Dataset -- 15.4 Data Validation -- 15.5 Weather Classification Using VGG19 Model -- 15.6 Results -- 15.6.1 Weather Classification Using VGG19 Model on Adam Optimizer -- 15.6.2 Classification Output of Dataset Parameters After Model Optimization -- 15.6.3 Confusion Matrix Comparison of Dataset Parameters -- 15.7 Conclusion -- References -- Chapter 16 Enhanced Ride-Through Capability of a Hybrid Microgrid Under Symmetric and Asymmetric Faults -- 16.1 Introduction -- 16.2 Design of the Hybrid Microgrid -- 16.2.1 AC Bus Faults - LG, LL, LLG, LLLG, LLL -- 16.2.2 DC Bus Faults: Pole to Ground, Pole to Ground and Pole to Pole Fault -- 16.3 HMG Inverter Control -- 16.3.1 Problem Formulation -- 16.4 Grid-Tied Inverter Control -- 16.5 Fault Analysis -- 16.5.1 LG Fault (A-G) -- 16.6 LLG Fault (A-B-G) -- 16.7 LL Fault (A-B) -- 16.8 LLL and LLLG Faults -- 16.9 DC Bus Fault -- 16.10 Conclusion -- Acknowledgements -- References -- About the Editors -- Index -- EULA.
• Sommario/riassunto: This book is essential for anyone interested in understanding and implementing sustainable transportation practices, as it provides comprehensive insights into the challenges, advancements, and policies related to sustainable mobility. Sustainable transportation refers to any means of transportation that is "green" and has a low impact on the environment. The goal of sustainable transportation is to balance our current and future needs. As per the United Nations Brundtland Commission (WCED, 1987), sustainable mobility can be defined as "mobility that satisfies the needs of present generations without compromising future generations", but in the modern era, we are compromising the needs of the next generation in terms of pollution, depletion of fossil fuels, global warming, poor air quality, and hazardous gases. The three main pillars of sustainability, economics, environment, and social issues, are crushed by modern development, so there is a need to shift from traditional means of transportation to sustainable transportation. Under the vision of sustainable mobility, better infrastructure and services will be provided to support the movement of goods and people. This outcome will be achieved only if four goals are pursued simultaneously: developing the right policy, building awareness, developing intelligent transportation, and creating green vehicles. Sustainable Mobility: Policies, Challenges and Advancements will discuss transitions from conventional to sustainable mobility, infrastructure development challenges in this transition period, new vehicle policies, and the latest autonomous vehicles for intelligent transportation. The main highlights of the book are energy efficient technologies for transportation, accessibility and safety of the transport system, environmental footprint, health impacts, economic development, and social growth. Sustainable mobility is essential to economic and social development. The environmental impacts of transport can be reduced by reducing the weight of vehicles, creating sustainable styles of driving, reducing the friction of tires, encouraging electric and hybrid vehicles, improving the walking and cycling environment in cities, and enhancing the role of public transport, especially electric vehicles. Going green and sustainable is not only beneficial for the company, but it also maximizes the benefits of an environmental focus in the long term.
• Titolo autorizzato: Sustainable Mobility
• ISBN: 9781394166831; 1394166834; 9781394166824; 1394166826; 9781394166817; 1394166818
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911019233303321
• Lo trovi qui: Univ. Federico II