LabCom - V2 - Laboratoires communs organismes de recherche publics – PME/ETI - Vague 2

HYPHES: IA & RO for a systemic approach to the management and resilience of urban infrastructure networks: energy, mobility, logistics – HYPHES

Submission summary

Within urban areas, the management of mobility, both the mobility of people and urban logistics and the management of energy, from its production to its consumption, including its distribution and storage, can no longer be thought of. independently, in a logic of silos, if these territories want to achieve the objectives of controlling the energy, environmental and social impact which are those of the Smartcities. This is in particular the case for the deployment of infrastructures and electrical transport equipment supplied by territorial electricity networks of the Smartgrid type where each actor has several roles (consumption, production, storage). To this end, the scientific project of the future HYPHES laboratory is to propose and validate systemic models of Smartcities and algorithms for the joint management of these networks. The urban territory is considered here as a set of players (homes, businesses, administrations, etc.) interconnected by a set of networks of different kinds (mobility and transport networks and infrastructures, energy and fluid distribution networks, waste networks). These networks support flows (energy, mobility of people, logistics flows) and must achieve quality of service specific to each area. This quality of service must be considered above all from the point of view of the user (time, cost, comfort, health, inclusiveness, etc.), but also transversally in terms of maintenance costs and environmental impact.

The systemic aspect is induced by the interaction of these different networks with each other, and with the different actors of the territory. An example of interaction between Smartgrids and electric vehicles is on the one hand the mobility of electric vehicles to reach energy distribution points, and on the other hand the possible use of the batteries of these vehicles as storage of electric energy. temporary for the actors who provide parking without degrading the mobility service they provide. The heart of the scientific project of the HYPHES laboratory is therefore a systemic vision of urban networks. In addition, the existing collaborations with territorial and private actors from DAVID and DCBrain will allow a definition of the metrics and objectives to be retained and the use cases and experiments which will make it possible to validate and enhance the work of the laboratory's scientific project. Finally, the scientific project will be built on a realistic vision of the availability of industrial and territorial data, considering the need for the proposed methods to be able to adapt to the quantity, quality and heterogeneity of the available data by controlling the quality and the reliability of the results obtained.

The first objective of the laboratory's scientific project will thus be to propose and validate a systemic modeling of the interaction of the urban networks mobilized, and their uses. This modeling activity will be continuous and will evolve during the various projects carried out. The lab will initially focus on energy, mobility and logistics networks. He will lead the theoretical and analytical study of these problems and their resolution through the cooperation of different approaches: algorithmic theory of graphs and games, combinatorial optimization, AI and Machine Learning. This work will be validated on the use cases selected, and through experimentation within partner territories. The design and production of first prototypes of software solutions will finally be produced.

The research program will consist of the systemic modeling of urban networks and the definition of real use cases, the integration of territorial data, IA and RO resolution methods for the management and resilience of these networks, and finally the implementation of innovative software prototypes.

Project coordinator

Monsieur Dominique BARTH (Données et Algorithmes pour la Ville intelligente et Durable)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


DAVID Données et Algorithmes pour la Ville intelligente et Durable
DCBrain DCBrain

Help of the ANR 362,962 euros
Beginning and duration of the scientific project: March 2021 - 54 Months

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