Enhancing pavement performance evaluation via crowdsourced gamification

Abstract

This paper explores the innovative use of crowdsourced data for pavement evaluation through a gamification mobile application based on the ORAN platform. Leveraging proactive maintenance planning, this approach aims to substantially reduce costs associated with pavement management. The paper emphasizes the collection and evaluation of pavement data via crowdsourcing and artificial intelligence (AI) to address the critical lack of pavement distress data necessary for training AI models for distress detection and pavement condition prediction. Gamification is employed to motivate users to contribute valuable data, processed through edge computing for efficient pavement evaluation.