Personalized Routing supported by AI

What criteria are the most important when it comes to selecting the best travel route? Which options are particularly attractive to us in which personal context? What individual experiences and preferences play a role? - Questions regarding the so-called context-sensitive routing are being researched by the project partners BLIC, Hacon, DLR Institute of Transport Research and the Berlin-Brandenburg Transport Association (VBB) as an associated practice partner.

NIKKI refers to Nutzer/innen-Information mit kontextsensitiver künstlicher Intelligenz and can be translated as “User Information with context-sensitive artificial intelligence”. It is funded by the German Federal Ministry for Digital and Transport (BMDV) with a total of 331,000 euros as part of the mFUND innovation initiative. The research goals are to identify relevant data parameters and develop a segmentation method for individualized travel information. In the next step, the procedure developed in the project should enable existing routing algorithms to be expanded with new data to develop individual, context-sensitive routing.

About the BMDV's mFUND: As part of the mFUND innovation initiative, the BMDV has been funding data-based research and development projects for digital and networked mobility of the future since 2016. The project funding is complemented by active professional networking between actors from politics, business, administration and research and by providing open data on the Mobilithek. Further information can be found at www.mfund.de