traveltech Value proposition
Qui ne reverrait donc pas de feinter le climat ?
We propose a mobile application that allows users to travel by soft modes (walking, biking, etc.) by the most climatically comfortable route, while taking into account the additional distance desired by the user compared to the shortest route. This climatic comfort analysis is based on an innovative algorithm and machine learning techniques, which take into account the real climatic conditions, the urban morphology and the different characteristics of the territory.
We address companies and local authorities who wish to promote soft modes of transportation to reduce their carbon tax, restrict parking spaces and increase the physical and mental well-being of their employees or citizens, as well as their health safety on the way. We contribute to increase the number of days of use of soft modes for each user and the number of people who use these soft modes daily.Original language
Application mobile qui permet de se déplacer en modes doux par tous types de temps météorologiques
We propose a mobile application that allows users to travel by soft modes (walking, biking, etc.) by the most climatically comfortable route, while taking into account the additional distance desired by the user compared to the shortest route. This climatic comfort analysis is based on an innovative algorithm and machine learning techniques, which take into account the real climatic conditions, the urban morphology and the different characteristics of the territory.
We address companies and local authorities who wish to promote soft modes of transportation to reduce their carbon tax, restrict parking spaces and increase the physical and mental well-being of their employees or citizens, as well as their health safety on the way. We contribute to increase the number of days of use of soft modes for each user and the number of people who use these soft modes daily.
