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Gabriel Wilkes is a research assistant at the Institute for Transport Studies at the Karlsruhe Institute of Technology (KIT). His main field of research is travel demand modelling. He aims at understanding the use of new travel modes, the influence of informedness on travel behaviour, and the dynamics of travel behaviour due to environmental and situational factors.

Sessions

  • June 07: Enabling integrated and inclusive mobility with agile service models and technologies

    Data and AI as Enablers for Sustainable Intermodal Mobility: The DAKIMO Project

    Intermodal mobility is a crucial factor in sustainable transportation. In today’s practice, however, it also is a complex undertaking for users, service providers and other stakeholders – inhibiting the switch from the less sustainable, but much simpler motorized individual transport. The German research project DAKIMO has joined partners from research (Fraunhofer, KIT), transportation (INIT GmbH, raumobil GmbH, INOVAPLAN GmbH), and the Karlsruhe public transport provider KVV with the goal is to develop AI-based methods for data fusion that facilitate the use of intermodal, public transportation and increase their convenience and reliability both for users and for service providers. The presentation gives insights into how much of mobility depends on data and which effects can be leveraged by modern data fusion methods to create new services and significantly improve existing ones.