Smart Mobility on demand for Smart Cities

Find out how to make traffic congestion a thing of the past and create a win-win ecosystem

Features

  • Machine Learning

    Advanced algorithms predict the mobility demand, optimize the number of available vehicles and the seat occupancy ratio.

  • Mobile App

    Registered customers enter the destination, reserve a seat and know in advance the cost of the trip.

  • Digital Advertising

    On board entertainment system with news, games, targeted advertising and information about offers and events in town.

  • City Loyalty Program

    Loyalty platform to engage and reward customers with free bonus trips.

1000 deployed MVMANTs will result in

32000

Cars taken of the road

48140

Tons of C02 saved

2.6

Tons of PM saved

51

mio € External costs saved

 

Values for private vehicles are calculated against the Euro 4 emission standards (gasoline), 29 km/day and 1.1 passengers on average.
Values for MVMANT vehicles are calculated with a 50% seat occupancy ratio (4 passengers) on a 10 hour shift.

Our pipeline

  • Ragusa

    Ragusa hosted the first pilot of our smart mobility solution in april 2016

  • Venezia-Mestre

    The first commercial deployment of MVMANT will take place in Venezia and Mestre, in cooperation with the local taxi company…

  • Dubai

    Dubai is the most populous city in the United Arab Emirates (UAE), with over 2.6 million inhabitants...

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