| ISBN13: | 9788770226783 |
| ISBN10: | 8770226784 |
| Binding: | Hardback |
| No. of pages: | 268 pages |
| Size: | 234x156 mm |
| Weight: | 453 g |
| Language: | English |
| Illustrations: | 22 Illustrations, black & white; 75 Illustrations, color; 2 Halftones, black & white; 18 Halftones, color; 20 Line drawings, black & white; 57 Line drawings, color |
| 697 |
Urban Air Mobility
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This book is a resource for engineers and researchers to develop intelligent, safe, and sustainable systems for urban air mobility.
This book is a resource for engineers and researchers to develop intelligent, safe, and sustainable systems for urban air mobility. In recent years, the growth of the world?s urban population has increased tremendously, and it is predicted that by 2040, 70% of the world population will be living in an urban setting. Existing ground transportation will be unable to cope with such an expansion, especially as congestion and over-crowding becomes more common. An answer may be found with the advent of recent technologies such as urban air mobility, which may play a vital role in providing solutions for public transportation.
The impact of modelling, analysis and application of intelligent algorithms is very much at the core of the design and implementation of Urban Air Mobility. The various chapters are configured to address the challenges in modelling, analysis, navigation, traffic control, battery efficiency, safety and security in terms of Artificial intelligence techniques.
1. Toward Future Transportation: History, Adoption, Research, and Development, Challenges in Urban Aerial Mobility 2. Modelling and Analysis of urban transportation systems 3. System Dynamics Model of Urban Transportation System 4. Deep Learning Methods for High-Level Control Using Object Tracking 5. Deep Learning Models for Urban Aerial Mobility: A Review 6. Reinforcement Learning for Automated Electric Vertical Takeoff and Landing Decision Making of Drone Taxi 7. Urban Aerial Mobility Concepts, Modelling and Challenges: A Review 8. Reinforcement Learning Approaches for Urban Air Mobility/Navigation and Traffic Control Systems 9. Challenges in charging of Batteries for Urban Air Mobility 10. Safety and Security challenges in implementing Urban Air Mobility
