Voi Technology: a new InApp Navigator service based on the experience in Rome

Voi Technology is a partner of 6th National Sharing Mobility Conference as a specialist in the sector. A reality active in 11 European countries and over 100 cities, including six in Italy. The key theme of the conference is "Lesscars drive the(R)evolution", i.e. how the reduction in the use of private cars can potentially contribute to changes in city mobility.
The development of shared electric micromobility is also linked to an improvement in the service experience on the app and Voi recently launched the service in Rome InApp Navigator, allowing users to know in advance the cost of the ride they want to take and the recommended route to improve the overall experience.

Voi Technology and the InApp Navigator service

On the occasion of the conference, in the panel dedicated to the sharing of urban space between users of city spaces, the visions of Voi Technology of cities designed to be lived in, through renderings by the JaJa Architects studio.
Regarding the mentioned experience, users will be recommended the more efficient but also safer route for your itinerary from point A to point B of the city, taking various aspects into consideration.
First of all therecommended or mandatory parking area nearby of the respective starting and destination positions, so the user is aware in advance of the point where he will park the electric scooter.

An itinerary that takes into account the routes with cycle paths for a safe travel experience, as well as secondary routes to avoid the most congested sections.
Once arrived, the user is facilitated in identifying the parking area to correctly leave the vehicle thanks to a photographic visualization system of the area, together with the indication of the point on the map in the app.
Furthermore the operator has chosen Roma as one of the 10 European cities in which to launch a pilot project to test a new solution computer vision, machine learning ed artificial intelligence, which identifies when a scooter driver is driving the vehicle on pavements. Through an initial database and with the continuous learning of vehicles on the roads, this computer vision and machine learning solution will allow the new technology to learn the difference between the asphalt of the streets and that of the sidewalks, in each urban reality.

Photo: Voi Technology