We are developing algorithms to compute itineraries in ways that improve global traffic. Better fluidity for everybody, faster for you, less CO2 for our planet.
Itineraries should be different for each of us, based on preferences, habits, and individual performance. One word: customization!
From electric bikes to scooters, segways and flying saucers, we encompass every possible transportation option and help you combine them.
Instead of waiting for traffic jams to appear, anticipation of predictable behavior improves traffic. Randomization of trips distribute traffic accross equivalent itineraries.
How would our daily landscape change if 5% more people were using bicycles? Is it a great idea to add lanes to major roads? We aim to design models to test multiple scenarios and validate them.
With accurate simulation of tranportation networks, we can observe and predict the effects of road closures, demonstrations and major incidents.
In what area should you open a restaurant or a shop? Will people see my ads? What is the profile of potential customers? By predicting every trip, we'll get the answers!
By measuring NO2, SO2, CO in key locations, and simulating traffic, we are able to generate the most accurate, real-time, pollution maps. To divert traffic, or to suggest healthy bike routes avoiding pollution.