Data-driven Digital Mobility Twins

There is more and more data on transportation becoming available, thanks to the open data initiatives. Yet issues persist with its quality and usability. These inconsistencies pose challenges for authorities and businesses aiming to utilize this data in service of sustainable cities and improved transportation. Moreover, the scarcity of professionals with specialized skills in mobility data science further hinders the use of data. We envision a data-driven digital mobility twin as a potential solution that bridges the gap between authorities and businesses on the one hand, and mobility data scientists on the other hand. This solution allows data scientists to apply their expertise to curate, integrate, and enrich the data, thereby elevating its value and usability. Consequently, authorities and businesses gain access to high-quality data, enhancing their capacity to deliver effective services. We anticipate that this approach will foster more extensive data sharing, feeding a culture of data sharing and ultimately facilitating an efficient, data-driven mobility ecosystem. This talk presents our vision, the existing works supporting this vision, challenges towards fully achieving it, and an initial implementation of a mobility twin for the capital of Brussels.