Najafli, M. A., Fahmani, M. S., Golroo, A., & Rasti, M. (2025). Enhancing pavement performance evaluation via crowdsourced gamification. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria (pp. 622–625). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10604
Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria
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.
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Research Areas:
Modeling and Simulation: 35% Structure-Property Relationsship: 30% Computational System Design: 35%
CC BY 4.0
