What Will the Future of Mobility Look Like?

What if, instead of enduring our commutes, we experienced them as perfectly seamless, optimized, and intuitive journeys? In the future, urban mobility will be more than a mode of transportation—it will become a personalized and eco-friendly service. Dive into this vision of tomorrow with Axel Mery, Chief Product Officer at Matawan.

Artificial Intelligence: The Conductor of Mobility

In the near future, AI will sit at the heart of mobility systems. It won’t just analyze data; it will anticipate, propose solutions, and act to transform how we travel.

• Anticipating needs: AI identifies habits and preferences to deliver real-time, personalized routes. No more planning required!
• Proactive management: It resolves incidents before they impact users, reopens lines autonomously, and offers tailored alternatives to maintain service continuity.
• Optimized resources: Every option—buses, bikes, or other solutions—is managed with precision to maximize economic and ecological impact.
• Environmental awareness: AI considers factors such as urban infrastructure and air quality to offer the best solutions for users.

AI shapes mobility that is human-centered: efficient, intuitive, and sustainable.

Interconnected Systems Powered by AI

Mobility systems will be connected in real-time, enabling AI to respond instantly to events or disruptions. Picture this: Matawan, a leader in mobility, has established its main R&D center in Cupertino, California. Maud, our director, needs to get to her office for an important meeting. Unfortunately, even in the future, Murphy’s Law still applies and a road incident halts the bus service.

Proactive Incident Management

Tomorrow’s mobility will be proactive, with systems designed to ensure seamless service continuity.

• Automated interventions: Problems are detected, analyzed, and resolved instantly to minimize disruption.
• Configurable autonomy: Systems allow operators to define how much autonomy AI has for instance, notifying users of incidents automatically but seeking validation for route changes.
• Proactivity and transparency: AI doesn’t just send alerts; it proposes actionable solutions while providing critical decision-making data, such as cost impacts.
• In this ecosystem, every challenge becomes an opportunity for optimization.