Entropy, a premier start-up resulting from the VEDECOM Institute’s work on the analysis of mobility manager’s needs through artificial intelligence
What are the movement patterns ? Which modes of transport are used ? Which routes ? Entropy, the new start-up stemming from the VEDECOM Institute’s research work, offers communities as well as individual actors a tool for understanding, measuring, and analysing all mobility requirements within a given territory. By means of an artifical intelligence which models flows, Entropy makes it possible to acquire detailed knnowledge of a territory’s mobility in order to make decisions on and evaluate the necessary facilities or services, bypassing field surveys.
Entropy provides predictive multi-sources software that uses wide-ranging data sources : GPS from cars, demographics, transport networks…A display interface enables the observation of all journeys made within a territory during a standard 24-hour day on an interactive map.
The use of artificial intelligence has many advantages : reactive, the Entropy’s tool provides 100% coverage in France, and is as accurate as face-to-face field surveys, but at lower cost.
The startup has set an ambitious objective : to establish itself by 2022 as the leader in demand estimation for mobility managers in France.
Articles récents :
European 5G-MOBIX Project French site Demonstration and Seminar
5G for connected and automated cooperative mobility: towards greater safety and efficiency 21 April 2022, 9 AM - 6 PM Organisation : VEDECOM, Catapult, AKKA Technologies and VALEO Location: VEDECOM headquarters at mobiLab and Satory tracks, Versailles. 23 bis allée...
E-mobility: a successfull demonstration of the Certificate Trust List for Plug & Charge interoperability
The Certificate Trust List has been demonstrated on the 2nd of June 2021 as a technical solution for ISO 15118 Plug and Charge interoperability. The objective is to simplify the user experience wherever he is and guarantee the interoperability between any vehicle and...
“Machine Learning for the distributed and dynamic management of a fleet of autonomous taxis and shuttles”
Thesis defence of Tatiana BABICHEVA « Machine Learning for the distributed and dynamic management of a fleet of autonomous taxis and shuttles » 10 mars 2021 - 9h30 Online : Zoom Follow this event : [button...