Automatic Crowdsourcing Demand and Supply Management for Sustainability of Pedestrian Navigation Service

In order to provide location-based services including pedestrian route guidance in numerous indoor and outdoor spaces of various structures, it is essential to maintain a low-cost platform that continuously improves accuracy. In particular, in order for the elderly, and the disabled to receive universal services, maintenance should be guaranteed along with social welfare. A realistic way to do this is an open platform based on crowdsourcing and crowdsensing for indoor positioning. However, it can only be sustained if the public is easily involved and rewarded with appropriate rewards or contributions. In this paper, we propose a method to realize the crowd contribution method based on the collection of a large number of location resources using a smartphone is realized by automatic management of spatial crowdsourcing demand and supply.