Today's public and private transport systems have to meet new requirements, particularly in terms of ecology. At the same time, the industry is being revolutionized by the development of innovative technologies that are opening up new horizons. The contribution of digital solutions is rethinking interaction with the user and opening the way to new modes of transport, as part of a smart city approach or facilitating long-distance travel. The term "smart mobility" refers to devices (vehicles, sensors, connected objects, etc.), systems and infrastructures for collecting, processing and analyzing data, with the aim of providing transport services.
The expected benefits of this approach are manifold, particularly for the user, who can benefit from enriched real-time information or automated driving assistance functions. In this way, the end-to-end service is tailored to the specific needs of each user, combining transport offers as required. On a more general level, technological advances should help to improve the safety, reliability and energy efficiency of means of transport. Artificial intelligence, for example, can be used to automatically detect emergency situations, while autonomous cars can help smooth traffic flow and reduce the risk of accidents, and digital modeling can help optimize transport network capacity...
But to truly live up to these promises, intelligent mobility still needs to overcome a number of obstacles. Firstly, in terms of data security and integrity: as data is essential for decision-making, it is imperative to develop systems that guarantee its protection. In addition, the notion of interoperability is of particular importance, as each solution must integrate within an ecosystem of heterogeneous equipment and applications. In addition to their economic and environmental relevance, innovations such as the autonomous car also raise ethical and legal questions. How can a decision be taken in the event of unavoidable danger? What is the driver's responsibility in the event of an accident caused by an autopilot system? How can we establish a relationship of trust between the technology and the user?
In essence, intelligent mobility calls on a wide range of expertise and know-how. In this context, the Carnot Télécom et Société numérique is able to provide a global vision, thanks to researchers covering the whole of this perimeter. Complementary skills (IT, electronics, networks, social sciences, etc.) enable them to participate in the development of safe solutions for communicating vehicles, driver assistance, mobility management, etc.
Possible applications
- Use mathematical modeling and algorithms to optimize logistics networks, taking into account numerous constraints.
- Using image recognition to detect traffic offences and automatically identify offenders.
- Developing on-board mobile terminals for communicating vehicles, to facilitate remote data processing (autonomous cars).
- Using on-board communication systems to detect accidents early and enable emergency services to intervene as quickly as possible.
- Relying on direct interaction between vehicles and local infrastructure to offer advanced services at lower cost.
- Bringing together all transport offers on a common platform, so as to provide comprehensive information to users.
- Real-time monitoring of public transport ridership, to adjust supply to demand.
- Studying the relevance of new business models, such as sharing services or collaborative transport.
Our innovation and transformation projects
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