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This work describes the development of a new generation of navigation systems, namely one dedicated to new means of transportation. Personal vehicles and, more generally, micromobility now take a significant part of the urban mobility offer. Their needs are not the same as those of heavier vehicles like cars, buses, or trucks that have been populating our streets for years. This master thesis starts with an analysis of those differences and aims at finding solutions to take these new demands into account.

The final output is the association of a mobile application developed with Flutter, and more specifically with Flutter Background Geolocation, and an external server using Flask. The application intends to guide people through their trips using short texts and basic images. It determines the person's current position, determines the road to which it corresponds, and finally decides which instruction to show.

It integrates existing commercial routing services and sets up the deployment of a solution dedicated to micromobility. A significant part of research on smartphone localization precedes the final development. Notions like map-matching and geocoding are also quickly addressed by this work.

Navigation --- Micromobility --- Cyclist guidance --- Pedestrian navigation --- Flutter Background Geolocation --- Ingénierie, informatique & technologie > Sciences informatiques