Bus, subway, train, RER, tram …Today, we consider that a person spends an average time of 53 hours of his life per year in transportation. This figure should increase exponentially before 2050 to achieve 106 hours per year.
New technologies follow us in all our travels: geolocation by mobile phone, systems of computer ticketing, of maintenance … The slightest data is recorded: the entrances and exit of travelers, the incidents, the delays … The flow of information is tremendous and infinite. The user himself is an endless source of data, at the same time consumer and ressource of Big Data.

Still it is necessary to run all these data to analyze them. It is the aim of Big Data: make significant the mass of the collected data.
Big Data becomes a real asset for the actors in charge of transportation today: it offers in real time a dynamic display of transport networks. From now on, we can evaluate the performance of an operating system, analyze the behavior of the travelers, understand the evolution of flows, appreciate the impact of the changes of services and the operations of maintenance, and specify the high-risk of accidents zones, the nodes of traffic congestion …

Analyzed, these data are going to help the operator to optimize his tool and so to improve the customer experience. Big Data becomes then a real asset for all the projects of Smart Transports for which the objective is to decrease the deadlines and the costs of the means of transportation by making them intelligent and autonomous.