NIKKI – User information with context-sensitive artificial intelligence

©VBB

The megatrend of individualisation requires tailored information services in the area of public transport and multimodality. Inclusive mobility is individualised, needs-oriented, simple and accessible to all. Existing systems do too little in this respect, as personal context-sensitive travel needs are not sufficiently taken into account. Context-sensitive routing applications lack a database that includes the individualised data characteristics of travellers. The aim of the joint project NIKKI is to combine existing mobility data (public transport and the first/last mile by bike/foot) with new context-sensitive profile data for customised information.

The target group is basically all travellers for whom a multimodal travel offer is an option. However, individual needs can vary greatly and depend on the respective situation. Therefore, among other things, it should be investigated which parameters are particularly relevant for an individualised routing offer and which user groups or which use cases (= travel needs) should be provided for.

The project can provide a better understanding of the requirements of different target groups for inclusive public transport routing and intermodal routing. In addition, personalised route recommendations can make public transport even more attractive and thus positively influence the choice of means of transport, away from motorised private transport and towards public transport. By taking individual needs and preferences into account when choosing a route, barriers to public transport can be overcome and participation and inclusion ensured: An essential component for quality of life.

The DLR Institute of Transportation Systems is responsible for the human-centred development of personalised route recommendations and thus contributes to the acceptance of and trust in the new type of passenger information. To this end, the DLR development KeepMoving is used to gather feedback after journeys and to understand the routes taken by participants on public transport. The collected data is analysed using AI methods. At the end of the project, procedures and analysis methods as well as a segmentation of users will be available.

Project title:
NIKKI - Nutzer/innen-Information mit kontextsensitiver künstlicher Intelligenz

Duration:
07/2024 to 06/2025

Project volume:
€ 331.014

Contracting authority:
Federal Ministry for Digital and Transport (BMDV)

Project coordinator:
BLIC GmbH

Project participants:
DLR Institute of Transportation Systems
Hacon
VBB (associated project participant)

Related projects:

This project is managed by the department:

Information Flow Modeling in Mobility Systems

The department conducts research on the informational foundations for the design of future mobility, with a view to all stakeholders – people, technical systems and services. Here, scientists develop methods for determining information needs, modeling information flows, and designing innovative solutions for digital, automated, and connected mobility systems based on this information.

Contact

Dr. Caroline Schießl

Head of Department
German Aerospace Center (DLR)
Institute of Transportation Systems
Information Flow Modeling in Mobility Systems
Lilienthalplatz 7, 38108 Braunschweig