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*                          Einladung
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*                     Informatik-Oberseminar
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Zeit:        Mittwoch, 17.07.2024, 15:00-16:00 Uhr

Ort:         Raum 5053.2 (großer B-IT-Hörsaal)/Informatikzentrum, Ahornstraße 55
Referent:     Herr Felix Schwinger, M. Sc.
                      Lehrstuhl Informatik 5

Abstract:

Information and communication technology has led to a wide range of smartphone-based mobility services, including car-, bike-, scooter-, and ride-sharing. Combining these services into intermodal journeys promises more flexibility and customizability to travelers. However, this combination is challenging and requires improvements at several levels: 
The lack of a technical ability for mobility providers to share information hinders their cooperation, the impact of intermodal transportation networks is poorly understood and inhibits an intelligent distribution of available transportation resources, and the increasingly heterogeneous nature of intermodal journeys easily overwhelms travelers. 
Meanwhile, the status quo of car-centric transportation systems is inadequate, as climate change and urbanization have accelerated the need for rapid decarbonization and increased efficiency in the transportation sector. Thus, Mobility as a Service (MaaS) has been proposed as a solution that addresses these challenges by seamlessly integrating mobility services across different providers into a single platform. 
Hence, MaaS-driven intermodal journeys promise to leverage the benefits of each mobility mode to fill the gap between individual car and public transportation journeys.

To study MaaS adoption, we employed the design science research paradigm, revealing three main problem areas: i) The integration among mobility providers; ii) the assessment of the impact of MaaS on the transportation network; and iii) the facilitation of user-interaction concepts for travel information systems. For each problem area, we produce, demonstrate, and evaluate artifacts of real-world use cases, illustrating the advantages for different stakeholders to support the creation of a seamless intermodal transportation network. For the lack of integration, we show that MaaS applications have yet to accommodate all mobility modes. Since a seamless integration requires highly accurate data, we propose approaches to improve the providers’ data forecasts. As for the second problem area, we observe that a lack of historical data impedes the analysis of MaaS. We tackled the issue by developing an inference approach for the necessary data from openly available sources, thereby supporting the investigation of intermodal transportation networks. Finally, as MaaS changes how people conduct their daily mobility, we design two natural language interfaces that complement traditional travel information systems, thereby reducing the burden of intermodal journey planning.

Our research supports the management of the impact of the digital transformation as follows: i) The integration of autonomous ride-sharing into MaaS requires a strict adherence to the holistic mobility service chain, thus demonstrating its extensive applicability; ii) the novel forecasting algorithms serve as an improved information base for intermodal journey planning, thereby increasing the resilience of transfers; iii) our micromobility assessment compares the travel characteristics of micromobility with those of public transportation in a data-driven manner, which allowed us to find evidence for their complementary use; and iv) the proactive and context-overarching natural language interfaces support users in exploring mobility offers and complement traditional travel information systems. Overall, our research contributes significantly to the vision of enabling a seamless intermodal transportation network.

Es laden ein: die Dozentinnen und Dozenten der Informatik