Drones for Transportation Logistics and Disaster Management

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Drones for Transportation Logistics and Disaster Management

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  • Wiley-Scrivener(2025/11発売)
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  • 製本 Hardcover:ハードカバー版/ページ数 432 p.
  • 言語 ENG
  • 商品コード 9781394386420

Full Description

Explore the future of logistics and disaster management with this essential guide to the design, applications, and challenges of integrating advanced drone technology into intelligent transportation systems.

Drones are quickly becoming an essential technology for navigating inaccessible areas, especially during emergency situations. However, the implementation of these drones requires strict standards, policies, and procedures. Currently, drones are being used in several industrial and service sectors, extending the possibilities of handling transportation and logistics. The future of transportation is based on unmanned vehicles, and it is important to identify their challenges and futuristic applications.

Drones for Transportation Logistics and Disaster Management introduces the essential aspects of the technological advancement of drones, the challenges faced in current practices, and their advanced applications. The book describes future intelligent and resilient transportation systems backed by the Internet of Vehicle Things, the problems of big data analytics, and optimization techniques for in-house supply-chain management. Using a global multi-sector perspective, this volume will comprehensively cover essential components of drone systems, including their modeling, design, and maintenance, making it an essential guide for anyone looking to the future of disaster management.

Contents

Preface xix

1 Journey to Transportation and Logistics Management Using Drone: Digitization and Technological Evolution 1
Seema Rani, Misbah Anjum, Shivangi Chawla and Vandana Sharma

1.1 Introduction 2

1.2 Literature Review 6

1.3 Fundamental Elements of Drone Technology 7

1.4 Evolution of Drone Technology 12

1.5 Use Case in Various Sectors 14

1.6 Application in Transportation and Logistics 16

1.7 Conclusion 19

References 20

2 Challenges of Big Data Implementation in Drone-Based Logistics 25
Mani Deepak Choudhry, M. Sundarrajan, S. Jeevanandham and V. Saravanan

2.1 Introduction 26

2.2 Related Works 29

2.3 Big Data in Transit 32

2.4 Factors Affecting UAV Implementation in Logistics 35

2.5 Conclusion 39

References 39

3 Frameworks for Handover Management for the Networks of Future Drones 43
S. L. Jany Shabu, Xiao-Zhi Gao, J. Refonaa and D. Poornima

3.1 An Overview 44

3.2 Literature Review 47

3.3 Handover Management for Future Drone Networks (hom-fdn) 49

3.4 Results and Discussion 59

3.5 Conclusion 63

References 64

4 Convergence of Internet of Vehicle Things and Drones: An Interoperability Perspective 67
V. Yokesh, N. Sathish, S. Lavanya and Pham Chien Thang

4.1 Introduction 68

4.2 Communication Standards for Integration 71

4.3 Data Exchange Protocols 76

4.4 Integration with Edge Computing 78

4.5 Security and Privacy Measures 79

4.6 IoVT Regulations 82

4.7 Cross-Industry Collaboration 84

4.8 Interoperability Challenges 89

4.9 Application and Future of IoVT and Drones 92

4.10 Conclusion 93

References 93

5 5G Communication in Drones for Surveillance in Future Transportation Activities 95
N. Sathish, V. Yokesh, T. Kuntavai and Mariya Ouaissa

5.1 Introduction 96

5.2 Overview of 5G Communication 96

5.3 Drones in Transportation 97

5.4 Drones and 5G Integration 101

5.5 Network Architecture for Drone and 5G in Transportation 103

5.6 Security and Privacy Considerations 105

5.7 Regulatory and Ethical Considerations 107

5.8 Future Trends and Innovations 109

5.9 Conclusion 111

References 111

6 Impact and Assessment of Artificial Intelligence-Enabled UAV for Real-Time Data Streaming Application 115
Gobinath C., Thanjaivadivel M., Sarathkumar Rangarajan and K. Kalaivanan

6.1 Introduction 116

6.2 Overview of UAVs Powered by AI 117

6.3 Applications of AI-Enabled UAVs in Real-Time Data Streaming 122

6.4 Case Studies: Real-World Implementations 127

6.5 Challenges and Considerations in AI-Enabled UAVs for Real- Time Data Streaming Applications 135

6.6 Future Directions and Opportunities 138

6.7 Conclusion and Future Enhancements 141

References 142

7 Blockchain-Based Security and Privacy Solutions for Drones Systems 145
Sugandhi Malhotra, Gaganjot Kaur, K. Saranya and Anu Sayal

7.1 Introduction 146

7.2 Drones - The New Network Architecture 158

7.3 Drones Privacy Solutions 167

7.4 Integration of Blockchain Functioning with Drones 173

7.5 Security Challenges and the Road Ahead 175

7.6 Conclusion 177

References 177

8 Design and Development of Modular and Multifunctional UAV for Amphibious Landing and Surround Sense Module 181
Surendar G., Balasubramanian E., Choi Jae-Sung and C.H. Nirmal Prabhath

8.1 Introduction 182

8.2 UAV Design Considerations 183

8.3 Development of Modular UAV 184

8.4 Surround Sense Module 188

8.5 Integration and Testing 190

8.6 Conclusion 194

Acknowledgement 195

References 195

9 Implementing Mission Critical Public Safety Using Communication in Drones Network 199
V. Nithya, Mani Deepak Choudhry, M. Parimala Devi and S. Jayachitra

9.1 Introduction 200

9.2 Related Work 203

9.3 UAV - Characteristics and Strategies 206

9.4 Communication Framework Support by UAVs 214

9.5 Conclusion 215

References 215

10 Assessing the Impact of Drones on Students' Engagement and Learning Outcomes 221
M. Narendran, S. Surendiran, Alamgir Khan and Mahender Singh

10.1 Introduction 222

10.2 Literature Review 224

10.3 Methodology 225

10.4 Implementation of Drone-Assisted Learning Activities 227

10.5 Results and Analysis 229

10.6 Discussion 234

10.7 Recommendations 236

10.8 Conclusion 238

References 239

11 Implementation of Delivery Drones in the Logistics Business Process 241
Jeevitha D., S. Venkatesh, R. Sathya and Raffaele Mascella

11.1 Introduction 241

11.2 Logistics Advantages of Delivery Drones 243

11.3 Challenges and Considerations 244

11.4 Integration Strategies 247

11.5 Technical Components of Delivery Drones 250

11.6 Data Management and Analytics 252

11.7 Environmental and Social Impact 254

11.8 Case Study 256

11.9 Conclusion 257

References 257

12 Social and Ethical Issues of Using Drones in Logistics and Disaster Management 259
M. Nalini, N. Prashithaa, Rajesh Kumar Dhanaraj and F.H.A. Shibly

12.1 Introduction 259

12.2 The Role of Drones in Logistics and Disaster Management 262

12.3 Privacy Concerns 265

12.4 Challenges and Considerations 266

12.5 Regulatory Frameworks 271

12.6 Case Studies 273

12.7 Conclusion 276

References 276

13 Regulatory Overview and Challenges of Drone Technology in Safety Regulation 279
S. Vijayanand, T.S. Pradeepkumar, M. Annalakshmi and Azween Bin Abdullah

13.1 Introduction 280

13.2 FAA Oversight and Authority Over US Airspace 281

13.3 Key Regulatory Challenges 284

13.4 Industry Standards and Best Practices 288

13.5 Regulatory Outlook and Future Needs 291

13.6 Conclusions and Recommendations 296

References 296

14 Drone-Based Application of Warehouse Logistics - A Case Study 299
Sangeetha Radhakrishnan, A. Prasanth, K.K. Devi Sowndarya and Ahmed A. Elngar

14.1 Introduction 300

14.2 Drones 307

14.3 Usage of Drones in Inventory Management 314

14.4 Application of Drone in Warehouse Logistics 320

14.5 Conclusion 325

References 325

15 Data Driven Emergency Response Management for UAV-Based Future Transportation - A Case Study 329
D. Vinodha, J. Jenefa, E.A. Mary Anita and Sameer Al-Dahidi

15.1 Scope 330

15.2 Applications of UAV During Emergency Response Management 331

15.3 Challenges and Solutions 333

15.4 Learning and Knowledge Outcomes 366

15.5 Conclusion 367

References 367

16 Remote Assessments and Aerial Imaging Using UAV for Disaster Management and Precision Agriculture with Immediate Response - A Case Study 371
Kalaivanan Karunanithy, Bhanumathi Velusamy and A. Prasanth

16.1 Introduction 372

16.2 Various Types of Cameras Used in Remote Sensing 375

16.3 Machine Learning-Based Object Identification 379

16.4 Challenges and Limitations of Technology Deployment in Disaster Management 390

16.5 Case Studies 392

16.6 Conclusion 393

References 394

Index 399

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