Plattform Economy and Autonomous Mobility Solutions: Data-Driven Network Effects


Level: Master Thesis

Emerging Technologies for Data-Driven Network Effects within Digitalized Urban Infrastructures and towards Autonomous Driving Applications

Description

Mobility is changing. Technological innovations introduced to the market, the digitalization of infrastructures and services, or social challenges such as the COVID-19 pandemic are influencing the way we understand and experience mobility. By providing novel services like MaaS and carpooling, autonomous vehicles are set to take the centre stage for new mobility. Given this development, even more disruptive technologies and use cases will emerge. V2X connectivity and smart infrastructure leverage services in the area of multimodal transport, traffic, maps & navigation, parking, safety and payment. Those innovations create room for novel HMI solutions, new mobility solution providers and many other potential actors. 

The DAI-Lab is researching and developing solutions that could meet the requirements of an cooperative, connected and automated mobility landscape (CCAM). An essential focus is to understand the role and effects that appear from data collected in digitalized infrastructures and autonomous vehicles. These are linked to mobility services offered in these environments.

Given the concept of Platform Economy (PE), it is very interesting to investigate data-driven network effects (DDNE). DDNE occurs when a product improves significantly by shared data generated by its users, and is often enhanced by AI technologies. This thesis’ target is to conduct research on such effects in the context of PE in CCAM use cases.

Main Research Focus

Prerequisites

References

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