At the heart of a technological revolution, cities are transforming into intelligent organisms. In this journey toward tomorrow,digital innovation and integrated approaches toArtificial Intelligence are shaping the way we perceive the urban jungle. The result is an epochal transformation that promises to make mobility more inclusive, multimodal, innovative and digital, with scrupulous attention to resource waste; to set us on the path toward green alternatives and the harnessing of data to optimize the way we live our planet and our lives.

Smart cities, the meeting point between science fiction and reality, are embracing the MaaS revolution. This ambitious approach aims to simplify the lives of citizens by offering integrated mobility services that challenge the need to own a private vehicle and push public transportation to new frontiers. In complex urban settings, Mobility as a Service has proven to be a key element in reducing the number of private cars on the road and enhancing public transportation for a more sustainable future.

At the center of this revolution, moreover, we find data, the digital gems that enable us to understand and transform mobility, indeed the world. Data analytics is the art of reading citizens’ digital footprints, an art that drives MaaS to its maximum potential. At the heart of this is“sharing,” a concept that is reshaping mobility. The “shereable networks”smart algorithm showed that 40% fewer vehicles would be on the road in New York City, a miracle made possible by ride sharing. This phenomenon could transform the realities of cities, with a hypothetical 95 percent reduction in space devoted to parking, space that could be enhanced for more creative purposes.

Woven into the fabric of the future of mobility are the powerful paths mapped out by Artificial Intelligence. In Amsterdam, “Roboats,” robotic ships, autonomously ply the waters, assessing not only the route but also the water quality. This approach not only optimizes the route, but also helps preserve the city’s water treasures, promoting sustainability.

In Singapore, the watchful eyes of AI-based camera systems do more than just ensure road safety; they meticulously scrutinize the intricate dynamics of traffic. This not only reduces travel time but also minimizes traffic jams and, consequently, harmful emissions, a crucial step toward a greener city.

In Tokyo, AI directs its gaze to the ground, monitoring agricultural crops. This is not just agriculture, but an ecological work of art. AI makes it possible to optimize the use of water resources and ensure more sustainable agricultural production, reducing environmental impact.

In Oslo, “smart dumpsters” are not just receptacles for waste, but guardians of the environment. Using artificial intelligence, they manage waste with surgical precision, scheduling collections based on actual needs. This not only reduces waste but also decreases the environmental burden, contributing to the well-being of the planet.

In this journey to the next era, AI is revealed to be the key to a more sustainable and environmentally conscious world. Technology not only guides us toward a more efficient tomorrow, but also promotes the care of our planet, where every step is anecological, sustainable and future-orientedfootprint.

In our journey into the future, we are witnessing the emergence of Autonomous Cities. This revolutionary concept combinesAI with human capabilities, creating a living organism that predicts and suggests actions to make urban life more efficient. This City Brain digital brain – is the answer to the complexity of contemporary cities, capable of calculating, predicting and improving urban resources and services in real time.

In this context, it is imperative that technology reflect the true needs of people and the planet. For this in tmr the “for people” is not just a slogan, but a concrete mission; that’s why we thought youMove®, a mobility ecosystem based on the MaaS; that is why we are developing EnAudit Energy® with EnAudit Intelligence, a generative AI that Monitors and analyzes energy performance and rationalizes resourceutilization. Through the analysis of collected energy data, Artificial Intelligence can identify inefficiencies, suggest corrective actions, and propose energy-saving strategies.

In short, MaaS and AI are the drivers of the evolution of smart cities to make the metropolises of the future, as well as small towns, more efficient, sustainable and inclusive. This revolution in mobility and urban management is a bold step toward a brighter tomorrow, where cities eco-evolve with the needs of citizens, becoming true living organisms.

This we mean, in tmr, when we say that we cannot imagine a world without connections; through our solutions we create new habitats for humans.