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.
Table of ContentsAim and Scope
Preface
Acknowledgement
1. Sustainable Mobility: Clean Energy Integration with Electric Vehicle TechnologyPranjal Barman, Lachit Dutta, Sushanta Bordoloi, Manash Pratim Sarma, Anamika Kalita, Swapna Bharali and Brian Azzopardi
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
2. Sustainable Mobility Policies in Developed and Developing CountriesReetu Gour and Nikki Baliyan
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
3. Transitions from IC Engine to EV and HEV: Current Status of EV in IndiaPuneet Kumar and Apurva Goyal
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
4. Alternative Source Systems of In-Vehicle Electricity ProductionDinesh Kumar Patel, Sachin Kumar, Vipin Kumar Sharma, Hari Om Sharma and Arbind Prasad
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
5. Autonomous Navigation of Unmanned Aerial Vehicle Using Reinforcement LearningPayal Bansal, Jyotsna Joshi, Surender Hans and Ashwani Kumar
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
6. IoT-Based Automatic Vehicle Accident & Rash Driving Alert SystemPayal Bansal
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
7. Mobile Edge Communication, Computing and Caching (MEC3) in Vehicle CommunicationPayal Bansal
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
8. IoT-Based Automatic Vehicle Tracking and Accident Alert SystemPriyanshu Gupta, Parth Tripathi, Pallavie Tyagi and Sanjay Kumar Singh
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
9. Interfacing of GPS and GSM with the Help of NodeMCU for Vehicle Monitoring and TrackingSandesh Singh, Ajay Suri, Vaibhav Patel, Ujjwal Shukla and Harshita Sisodia
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
10. A Comprehensive Analysis of Cell Balancing in BMS for Electric VehicleRahul Sarker, Subir Datta, Ksh. Robert Singh and Apurba Kr. Das
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
11. Analyzing and Testing of Fuel Cell Hybrid Electric VehiclesShrey Agrawal, Raghav Gupta and Manoj Sindhwani
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
12. Cyberattacks, Threats and Challenges of Cybersecurity: An OutlineTanishq Soni, Deepali Gupta, Ramneet Kaur, Avinash Sharma and Gifty Gupta
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
13. Opportunities and Challenges of Data-Driven Cybersecurity for Smart Cities: Blockchain-Driven ApproachTanishq Soni, Ramneet Kaur, Deepali Gupta, Avinash Sharma and Gifty Gupta
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
14. On Renewable Energy Source Selection Problem Using T-Spherical Fuzzy Soft Dombi Aggregation OperatorsMohit Pal, Himanshu Dhumras, Gaurav Garg and Varun Shukla
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
15. Detection of Weather with Hypothesis Testing Performed Through VGG19 Model Utilizing Adam OptimizerKanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand and Rupesh Gupta
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
16. Enhanced Ride-Through Capability of a Hybrid Microgrid Under Symmetric and Asymmetric FaultsAsis Kumar Mallick, Ullash Kumar Rout, Ajit Kumar Barisal and P. K. Satpathy
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 Back to Top