Topic

Mobility

Hassle-free travelling: idalab teams up with DB Systel, DFKI and Door2Door for research project SIM3S

Using public transport can be a challenge. In case of disruptions, loudspeaker announcements are the critical source of information – but they can be hard to understand, even for native speakers. English translations aren’t always provided, except in bigger cities. Matters get even worse for handicapped or elderly people, because information about accessibility on the alternative routes is usually not available at all.

3,2,1 – Gone! The Science of Used Car Pricing

Despite the recent Volkswagen scandal, German cars still have a world-class reputation. And Germans still love cars: more than 44 million vehicles are registered, that’s about one car for every second citizen. Understandably, the used car market is also large – but, how does one arrive at a fair value for a used car?

Data Science in the Automotive Industry

Envisioning the future, debates around self-driving cars usually only circle around the specific point of time of general adoption. Will it happen in two, five or ten years? How will regulators handle the issue and how will bureaucratic processes impact the speed of the revolution of the automotive industry?

Get me there – now!

Qixxit, GoEuro, Moovel, Ally, Touch&Travel, Flinc, … – the list could probably go on for at least another couple of hundred start-ups and apps in the mobility sphere.

Rail and Road are two different kind of shoes

Three out of four long-distance trains in Germany arrive on time. Nevertheless, we tend to have a strong negativity bias when it comes to judging the punctuality of mobility services.

Hassle to get around in Prague? Blame big data, but hope for its potential

You had been looking forward to that weekend in Prague for a long time. Finally, some time off from the busy work routine. Booking the flights was a seamless experience.

idalab joins “Smart Data for Mobility – SD4M” consortium, led by Deutsche Bahn Systel

Berlin-based data science agency idalab joins forces with DB Systel (IT-subsidiary of German railway operator Deutsche Bahn), The German Center for Artificial Intelligence (DFKI), init and PS-Team to develop a cross-sector mobility service platform, aggregating data from various sources to provide smarter mobility services.

Data Science in der Automobilindustrie

Bei Diskussionen über die Zukunft der Automobilindustrie drehen sich die Debatten primär um selbstfahrende Autos – lediglich der genaue Zeitpunkt der Umsetzung scheint noch fraglich.