A novel characterisation method for asphalt pavement structural performance assessment based on vehicle vibration data fusion-Reference-Cited by-同舟云学术

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A novel characterisation method for asphalt pavement structural performance assessment based on vehicle vibration data fusion

Published:2024-01-30 Issue:1 Volume:25 Page:
ISSN:1029-8436
Container-title:International Journal of Pavement Engineering
language:en
Short-container-title:International Journal of Pavement Engineering

Author:

Yuan Wenzhi¹,Yang Qun¹,Ye Wenya²

Affiliation:

1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, People’s Republic of China

2. School of Civil and Transportation Engineering, Ningbo University of Technology, Ningbo, People’s Republic of China

Funder

2022 Ningbo Transportation Science and Technology Plan Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10298436.2024.2308178

Reference30 articles.

1. Bhoraskar R. et al . 2012. Wolverine: Traffic and road condition estimation using smartphone sensors. In: 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012). Presented at the 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS) Bangalore India: IEEE 1–6.

2. Machine learning algorithms for monitoring pavement performance

3. A novel pavement transverse cracks detection model using WT-CNN and STFT-CNN for smartphone data analysis

4. Pavement performance monitoring and anomaly recognition based on crowdsourcing spatiotemporal data

5. Rapid evaluation of a transverse crack on a semi-rigid pavement utilising deflection basin data

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1. A novel method for evaluating asphalt pavement structural performance based on vehicle vibration;International Journal of Pavement Engineering;2024-07-24

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