Getting from A to B in the best way possible: Project SM4M develops a platform with data from different mobility providers, supplemented with information from social networks.
At present, the project "SD4M – Smart Data For Mobility" analyzes over 139,000 RSS messages daily in order to create optimum travel routes. The Federal Ministry for Economic Affairs and Energy (BMWi) reports that it is supporting the project as part of its technology program "Smart Data – Innovations in Data" . SD4M connects the current data from road, rail and air transport and from local public transport. In addition, the system processes over 140,000 contributions from social networks every day, for example, for delays and traffic jams. The aim is to create a cross-sector platform that can be used both by individual travelers and by companies in order to find the most efficient travel chain from point of departure to destination.
"The challenge is to prepare the data in such a way that we can put it into context and use it for mobility," explains Ingo Schwarzer, Chief Digitalist of DB Systel GmbH , which is heading up project SD4M. "From big data, that is, from the sheer volume of available data, you get smart data." In addition to traffic jam messages and roadwork information, the platform also receives official timetable and local transport data, city and town maps, event plans and tourism information.