Intelligent Vertical Mobility In Sustainable Urban Environments

Authors

  • Alejandro Becerro Casadomet Research Scholar, Industrial Engineering, Faculty of Engineering, Kennedy University, France. Author
  • Dr. Ignacio Bonasa Alzuria Thesis, Supervisor, Spain. Author

Keywords:

Intelligent Vertical Mobility, Sustainable Urban Mobility, Smart Elevators, Internet Of Things (IoT), Artificial Intelligence

Abstract

The rapid growth of urban populations and increasing pressure on existing infrastructure have created a need for intelligent and sustainable mobility solutions. Vertical mobility, including elevators, escalators, and smart building transportation systems, plays an important role in improving accessibility, reducing congestion, and enhancing the efficient movement of people within high-rise buildings and densely populated urban environments. This paper explores the integration of intelligent technologies into vertical mobility systems to support sustainable urban development. By incorporating the Internet of Things (IoT), artificial intelligence (AI), machine learning, and real-time data analytics, smart vertical transportation can optimize traffic flow, reduce waiting times, improve energy efficiency, and enhance passenger safety. Predictive maintenance and intelligent control strategies can further reduce operational costs, equipment downtime, and unnecessary energy consumption. The study also highlights the importance of integrating vertical mobility with smart-city infrastructure, renewable energy systems, and accessible building design. Key challenges include implementation costs, cybersecurity, system interoperability, and the need for reliable real-time data. Intelligent vertical mobility offers opportunities to improve transportation efficiency and contribute to more inclusive, resilient, and environmentally sustainable urban environments.

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Published

2026-09-25

How to Cite

Alejandro Becerro Casadomet, & Dr. Ignacio Bonasa Alzuria. (2026). Intelligent Vertical Mobility In Sustainable Urban Environments. International Journal of Artificial Intelligence and Communication Networks, 2(3), 141-160. https://ijaicn.com/journal/index.php/ijaicn/article/view/37