Electronic transactions, data from grids of connected sensors in the streets, mobile apps and social network contributions of travelers provide a wealth of information on mobility yet, up to now, very little value has been captured from all this data. XRCE research in data analytics and ethnography are being used to transform this data into meaningful information to develop smart applications along three axes:
Making services more reactive to users’ needs.
Transportation infrastructures can be adapted to the ever changing needs and behaviors of citizens. We have developed visualization, optimization and simulation technologies that allow city transportation authorities and planners to better understand how services are used, monitor performance and improve their transportation offerings more quickly.
Individual travelers can be guided in real time along their trips using our optimization and prediction technologies. Our ethnography expertise allows us to design solutions that consider the whole user experience across all the transportation modalities and beyond. We also propose solutions that do not only consider the individual’s goal but conciliate it with the surroundings travelers’ needs and the transportation authority’s incentives using for instance gamification techniques .
Urban areas concentrate a lot of people in a limited space and transportation infrastructure will always remain a scarce resource. Our competencies in mechanism design and machine learning help us to develop solutions that enable city authorities to predict demand and manage it by setting the right incentives. We have for example helped the city of Los Angeles to manage its on-street parking pricing policies by combining a dedicated sensor system, smart demand based pricing algorithms, and advanced parking guidance solutions. The result has been a reduction of parking congestion and a reduction of underuse of spaces while more parking rates went down than up.