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Smart Cities of AI Robots and Autonomous Vehicles. The Vision for 2030

  • Book

  • March 2026
  • Elsevier Science and Technology
  • ID: 6057738

Smart Cities of AI Robots and Autonomous Vehicles: The Vision for 2030 explores the transformative potential and challenges of integrating AI-powered robots and autonomous vehicles in urban landscapes, envisioning a futuristic smart city landscape by 2030. It examines how artificial intelligence (AI) robots and self-driving cars will transform daily life, healthcare, education, industry, agriculture, and transportation.

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Table of Contents

Part I: AI-Powered Urban Mobility and Traffic
1. Autonomous Vehicles in Urban Mobility
2. Artificial intelligence in Airport Operations
3. Artificial intelligence Drones for Monitoring and Security
4. Artificial intelligence-Powered Logistics and Delivery

Part II: AI-Powered Agriculture and Environmental Sustainability
5. Smart Agriculture with Artificial intelligence and Drones

Part III: AI-Powered Living and Service Industries
6. Household and Hospitality Robots

Part IV: Cross-Sectoral Applications and Considerations
7. Social Equity and Inclusion in Smart Cities
8. Human-Machine Interaction and User Experience
9. Cybersecurity and Resilience e in urban living
10. Governance, Ethics, and Regulatory Frameworks

Part V: Challenges and Prospects for Smart Cities
11. Environmental Sustainability Through artificial intelligence
12. The Future of Employment and artificial intelligence 's Economic Impact
13. Emerging Technologies and Future Trends of urban development
14. Global Case Studies and Practical Insights
15. Critical outlooks on autonomous technologies and artificial intelligence in urban areas

Authors

Paras Chawla Amity University Haryana, India.

Dr. Paras Chawla is an accomplished academic and researcher with over 24 years of experience across academia, research, industry, and administration. He holds a B.Tech. (Honors) and M.Tech. from Kurukshetra University and NIT Kurukshetra, and a Ph.D. from Thapar University, Patiala. Additionally, he completed a year-long Post Graduate Program in AI and ML from Purdue University, USA, along with a master's course from IBM. He has recently completed a Post Doc Fellowship (PDF) in computer vision from Lincoln University, Malaysia. Currently, he serves as Professor & Director at Amity School of Engineering & Technology and Amity Institute of Information Technology, Amity University Haryana. His leadership journey includes roles like Zonal Head for IT Academics, Associate Dean, and Head of Departments, steering successful national and international accreditations. Dr. Chawla has guided 11 Ph.D. theses, 25 M.Tech. dissertations, and over 55 B.Tech. projects across various domains. His research expertise spans reconfigurable antennas, AI, machine learning, data science, 5G communications, and healthcare applications. He has published over 120 papers, including 92 SCI/Scopus indexed articles, and holds 24 patents, 15 of which have been granted. Notable achievements include receiving the prestigious Coventor Scholarship Award from MANCEF, New Mexico, and the Tenderfoot Award from NASA for his work in CanSat competitions. His innovations extend to AI and computer vision in transport and service robots, 3D-printed humanoid robots, and AI-driven educational methods.

Dr. Chawla's visionary leadership and groundbreaking work continue to make significant contributions to both academic and technological advancements.

Affiliations and expertise Amity School of Engineering and Technology, Amity University Haryana., India Shubham Mahajan Amity School of Engineering and Technology, Amity University Haryana., India.

Dr. Shubham Mahajan is an academic and researcher, member of IEEE, ACM, and IAENG. He earned a B.Tech from Baba Ghulam Shah Badshah University, an M.Tech from Chandigarh University, and a PhD from Shri Mata Vaishno Devi University. He is currently Assistant Professor at Amity University, Haryana. His research spans artificial intelligence and image processing, including video compression, image segmentation, fuzzy entropy, nature-inspired optimization, data mining, machine learning, robotics, and optical communications. He holds patents internationally and has published widely in high-impact venues; he has edited several Scopus-indexed books. He has received multiple awards for research excellence and travel support from IEEE, among others. He has served as IEEE Campus Ambassador at premier institutes and promotes international collaborations. He participates in technical program committees and editorial boards for conferences and journals, shaping discourse in AI and image processing.

Rohit Anand Assistant Professor, Department of Electronics and Communication Engineering, G. B. Pant Engineering College (Government of NCT of Delhi), India.

Dr Rohit Anand is an Assistant Professor in the Department of Electronics and Communication Engineering at G. B. Pant DSEU Okhla-1 Campus (formerly G.B. Pant Engineering College), Government of NCT of Delhi. He has teaching experience of almost 22 years and has published 19 books and 20 research papers