Multi-platform data collection for public service with Pay-by-Data

Abstract

In order to establish efficient public services (e.g., traffic management, demand forecasting, traffic prediction), it’s necessary to build a supportive data collection, specially multi-platform user data collection (e.g., data of user’s journey information), to provide training data for building models. However, several issues hinders such paradigm to be deployed in real world. Firstly, we need to achieve the balance between data collection and user privacy protection. Secondly, it’s crucial to motive the users to contribute their data. Thirdly, we need to design a data pricing mechanism to promote data sharing. In this paper, we try to solve these issues by extending the Pay-by-data model, which is an explicit data-service exchange protocol. Based on this, we propose a system framework to support large-scale public service.