Tabla de Contenidos: “…11.3.1 Machine Learning -- 11.3.2 Origin and Development of Deep Learning -- 11.3.3 Applications of Machine Learning and Deep Learning in Smart Sensors -- 11.4 Challenges and Opportunities in Fields of Smart Sensors -- 11.5 Conclusion -- References -- Chapter 12 Drone-Based Traffic Flow Management for Smart Cities: Problems and Solutions -- 12.1 Introduction -- 12.1.1 Traffic Flow Management in Smart Cities -- 12.1.2 Benefits of Smart Traffic Management Systems -- 12.1.3 Challenges of Smart Cities and Traffic Flow Management -- 12.1.4 Current Research -- 12.2 Limitations and Challenges of Traditional Traffic Management Systems -- 12.3 The Concept of Drone-Based Traffic Flow Management -- 12.3.1 Advanced Traffic Management System -- 12.3.2 Advanced Public Transportation System -- 12.3.3 Commercial Vehicle Operation -- 12.3.4 Benefits of Drone-Based Traffic Flow Management -- 12.3.5 Challenges of Drone-Based Traffic Flow Management -- 12.3.6 Applications of Drone-Based Traffic Flow Management -- 12.4 Applications of Drones in Traffic Flow Management -- 12.5 Types of Drones and Sensor Technologies Used in Traffic Flow Management -- 12.5.1 Types of Drones -- 12.5.2 Sensor Technologies -- 12.6 Integration of Drone Technology into Existing Traffic Management Systems -- 12.6.1 Benefits of Drone Technology in Traffic Management -- 12.6.2 Challenges of Integrating Drone Technology into Traffic Management -- 12.6.3 Integration Strategies -- 12.7 Case Studies and Best Practices of Drone-Based Traffic Flow Management -- 12.8 Future Trends and Directions for Drone-Based Traffic Flow Management in Smart Cities -- 12.9 Role of Emerging Technologies -- 12.10 Conclusion and Recommendations for Researchers, Practitioners, and Policymakers -- References -- Index -- Also of Interest -- EULA…”