Drones for Transportation Logistics and Disaster Management

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.

A. Prasanth, PhD is an associate professor at Vel Tech Rangarajan Dr. Sagunthala Research and Development Institute of Science and Technology. He has published more than 45 research articles in international journals and conference proceedings, 12 books, and ten patents. His research interests include the Internet of Things, machine learning, wireless sensor networks, ad-hoc networks, and computer networks.

Rajesh Kumar Dhanaraj, PhD is a distinguished professor at Symbiosis International University. He has authored and edited more than 50 books on various cutting-edge technologies, holds 22 patents, and has contributed more than 115 articles to esteemed international journals and conferences. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.

Munish Sabharwal, PhD is the Chief Operating Officer and a Professor of Computer Science and Engineering at the Institute of Integrated Learning in Management and an adjunct professor in the School of Digital Technologies at Samarkand State University with more than 25 years of experience. He has published more than 100 research papers in international journals and conferences. His current research interests include data sciences, biometrics, and e-banking.

Vandana Sharma, PhD is an associate professor at CHRIST University. She has published more than 75 research papers in international journals and conferences and is a member of the Women in Engineering Society. Her primary areas of interest include artificial intelligence, blockchain technology, and the Internet of Things.

Seifedine Kadry, PhD is Professor of Data Science at Beirut Arab University. He serves as Editor-in-Chief of the International Journal of Quality Control and Standards in Science and Engineering. He is an IEEE Senior Member, and IET Fellow. His research focuses are Data Science, AI applications, system prognostics, stochastic systems, and probability and reliability analysis.