Difficult to travel in Île-de-France.
Between crowded trains that are not always punctual, congested roads, self-service bicycles or scooters that are not always in sufficient numbers, the use of different modes of travel on the same route is far from fluid.
Entropy, a Versailles start-up could well change the situation thanks to artificial intelligence and provide answers to all mobility players.
She was recently named winner of the AI challenge for urban mobility, launched by the Île-de-France regional council.
This Wednesday, Valérie Pécresse, the president (LR) of the region visited their premises to get an overview of the progress of their work.
“Via a platform which lists all the data (Insee, GPS, those provided by a community), we are able to show how people move across any territory in France: where they come from, where they are going, with what mode of transport and this for each neighborhood, to what socio-professional category they belong,” explains Sami Kraiem, one of its co-founders.
A sort of “Minority report” in transport
Better still, the company will also be able to predict, via its Azoth project, created in collaboration with the Software République (Renault, Dassault Systèmes, Orange, etc.), 24 hours in advance, the movement of residents and the services they will need.
Read alsoArtificial intelligence: images, sound, animation... we tested the latest apps and it's amazing
“The operator can thus anticipate the dispatch of its vehicles and place them where they will be most useful.
The gain for the operator is to have a better match rate between its service and user needs.
The benefit for the user is to find a nearby vehicle more easily.
The gain for society is to encourage modal shift to reduce the carbon footprint,” explains the region, which granted aid of 500,000 euros.
A sort of “Minority report” for transport, this data constitutes considerable decision-making support for communities or transport managers in order to optimize their services.
For example, the Decaux company, by this means, can know exactly the number of self-service bicycles needed at a given station at a given time.
“This tool allows us to anticipate travel and therefore bicycle movements,” explains one of its representatives.
Entropy also specifies that it should soon have the results of the use of scooters from the German group Tier in Saint-Quentin-en-Yvelines.