Big Data and Open Data help develop intermodality and adapt this one in real time, while creating new uses in terms of moves. Many cities offer public transport users several possibilities and favor intermodality. So in San Francisco navigation applications such as Google Maps calculate various multimodal routes by integrating transport and taxi on demand (Uber).
Grenoble transport service, meanwhile, takes into account more options. Users have at their disposal an application indicating which is the most relevant travel mode: tram,... [Lire la suite]