Entezari, M. S., Golroo, A., & Rasti, M. (2025). A New Era in Transportation Infrastructure Contrition Evaluation with Connected Vehicles. 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. 329–332). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10578
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
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
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Event date:
7-May-2025 - 9-May-2025
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Event place:
Wien, Austria
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Number of Pages:
4
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Publisher:
TU Wien, E230-03 Road Engineering, Wien
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Peer reviewed:
Yes
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Keywords:
Pavement; condition evaluation; connected vehicle; case study
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Abstract:
Gathering pavement data has always been a tedious task for highway agencies. Researchers and Practitioners have always looked for a cost-effective and continuous method for pavement monitoring. With vehicles being equipped with Information and Communication Technologies (ICT), Connected Vehicles (CVs) are now available in the market. In this paper an architecture for CV-based pavement evaluation was proposed. Next a model was developed for distress detection and implemented on vehicle using a raspberry pi. The model was capable of detecting 8 different pavement distresses with a Mean Average Precision (mAP) of 58.8%, a precision of 74.2%, and a recall of 52.1%. Due to the low computation time, the model could be run on the onboard mini-computer to detect anomalies in real time. It was concluded that the model could be used on vehicles to gather condition data.
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Research Areas:
Modeling and Simulation: 35% Structure-Property Relationsship: 30% Computational System Design: 35%
CC BY 4.0
