Personalization, Privacy and Quality Control for MaaS with Blockchain - TrustedMaaS

Project description

Strategic research project of the University of Oulu
Focus institute: Infotech Oulu
Faculty: Faculty of Information Technology and Electrical Engineering (ITEE) 

 

Mobility as a service (MaaS) is a unifying platform for different transport services for a personalized journey with a single ticket. Blockchain is a distributed and immutable transaction ledger that provides trust between two actors without a need for a trusted third party. Blockchain is a clear candidate technology to solve some of the challenges presented in current MaaS platforms implementations. In this research we will explore how Blockchain technology can be integrated into existing MaaS platforms in order to mitigate some of the existing technological problems, speed up commercial transactions and maximize the revenues of different stakeholders. The project aims at more accurate and timely predictability of user behavior and the related costs in MaaS. We expect, that the integration of the service providers to the MaaS platform infrastructure should prove significantly easier with Blockchain

than with the traditional middleware model and that the integration leads to more efficient platforms enabling MaaS. Furthermore, we expect to solve some of the critical problems that prevent national and international coverage such as more flexibility, privacy, security and a solution to the scalability problem. In the end, the results will be used in defining clearer business plans for different actors based on a decentralized solution and simplification of the operations among the different stakeholders. The project will be performed in close co-operation with industry and academia providing scientific breakthroughs as well as further disruption in both transport and financial sectors. Industrial collaboration is realized with MaaS Global, PayIQ and Chainfrog. This project is expected to extend the multidisciplinary collaboration with Oulu Business School, Center for Machine Vision and Signal Analysis and Center for Ubiquitous Computing.