Did you know that the ecological transition of transportation is a major challenge for limiting the impact on the environment and biodiversity? Well, artificial intelligence plays a crucial role in this evolution by processing data generated by various stakeholders and customers in logistics chains. Moreover, it offers solutions that meet user expectations while considering the demands of the ecological transition.
AI for greener public transport
AI algorithms have the potential to transform our transport systems by recognizing, sorting, and utilizing data for intelligent decisions, reliable forecasts, and optimized, resilient networks. And yes, they can even help build connected and smart infrastructures for more sustainable and intelligent transportation.
However, all of this requires data to be shared among different stakeholders, to be open to the public, pooled by sector, or cross-referenced between modes of transport. With this, we can achieve the best results for everyone, maximizing benefits for all.
AI for users
AI is a transformative force in the field of transportation, offering new possibilities for personalized services for users, while respecting their privacy and data. It can also be used to develop local transport policies adapted to each region, in harmony with current environmental and climate issues, which are becoming increasingly important in 2023.
AI is set to play a central role in all aspects of future mobility, whether for passenger or freight transport, and across all modes of transport, be it road, rail, air, or sea. This development of AI represents crucial stakes for France’s sovereignty, as well as for the international competitiveness of companies in this globalized and constantly competitive world.
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Ecological transition with artificial intelligence
To make the ecological transition a reality in mobility thanks to AI, it is imperative to consider the concerns regarding the acceptability of new service offerings by users and citizens, while actively involving territories at each stage of this transition.
To achieve this, it is essential to establish reference data foundations, meet companies’ AI skills needs, accelerate the transfer of AI solutions for daily mobility to territories, develop AI solutions for logistics that address international competitiveness and ecological transition challenges, design new highly automated mobilities for people and goods that are safer, more efficient, and more ecological, modernize administrative processes with AI, and enhance personal safety through AI. And it’s possible!
