Reward Distribution Using Coalitional Game Considering Overlapping of Point Cloud Data

Digital Twin is expected to be a key technology for realizing the next-generation smart city. It can be applied to social infrastructure, manufacturing, and medical fields. This paper focuses on the concept of ‘Digital Twin City,’ which collects various types of data within a city and uses it for public services such as transportation, disaster prevention, and urban planning, thereby improving the quality of life for residents. Three-dimensional urban landscapes formed by point cloud data are essential for developing these public services and other applications in Digital Twin Cities. However, installing sensors and collecting fresh data from every corner of the city involves high initial and maintenance costs. Therefore, involving residents in data collection is considered a promising option. To create incentives for residents to participate as data providers, a data trading cooperation game using a coalition form game is proposed. The characteristic function of the coalitional game will be modeled to account for the overlapping of point cloud data. For the distribution of rewards to each data provider, we use Shapley value, which is a solution representing the contribution to the data.