CROwd Sensing for Smart urBAN transport

The project will exploit three major trends opening new markets for European innovation: 1. Data integration leads to information overflow: Cities are becoming Smart Cities. This means that data from many sources are available online and ICT-services imp acting daily life of citizen are built by citizen and local authorities and service providers like metro, bus, and city bike operating companies. This project is NOT about integrating such information, but enabling third party applications to use the info rmation efficiently and citizen to filter out only what is needed 2. Crowd sourcing for the benefit of the crowd: Citizen are no more only service consumers, but also data providers and even service providers. The information generated from the travellers may be used to optimise the behaviour of other travellers. One example is WAZE where drivers share real-time information helping others to detect congestions and select alternative routes. However, WAZE will make you no wiser if you blindly follow the sa me rerouting as all other travellers having the same information 3. Changing European cultural traits: Europeans are becoming more concerned about their privacy and the need to be in controol of the information shared with others. At the same time Europea ns increasingly tend to use public transport, and even as a first choice to travel around in urban environments realising that it is often the fastest and most convenient way to move. This project will deliver a truly scalable and open multi-agent platfor m where each traveller has her own agent trying continously to optimise the travell using whatever information is available while negotiating and exchanging information with other agents in a safe and privacy preserving manner. Information sources are als o represented as agents participating to this extended self-optimising collaborative game. The term game is used as a theoretical framework where the players (agents) are making decisions and learn stochasticly.