A data-driven approach for gravel road maintenance
Author:
Affiliation:
1. Linnaeus University,Department of Mechanical Engineering,Växjö,Sweden
2. Linnaeus University,Department of Informatics,Växjö,Sweden
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9715156/9715178/09715196.pdf?arnumber=9715196
Reference55 articles.
1. Developing and validating an image processing algorithm for evaluating gravel road dust
2. Estimation of Gravel Roads Ride Quality Through an Android-Based Smartphone
3. A Data-Driven Maintenance Framework Under Imperfect Inspections for Deteriorating Systems Using Multitask Learning-Based Status Prognostics
4. Monitoring of dust emission on gravel roads: Development of a mobile methodology and examination of horizontal diffusion
5. Experience in Rehabilitation of Low-volume Roads Using Soft Asphalt and Otta Seal Technologies
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2. Mapping Maintenance Related Information Using the MIMOSA CRIS Standard: A Case Study Within Gravel Road Maintenance;16th WCEAM Proceedings;2023
3. A Top-Down Data-Driven Approach for Gravel Road Condition Classification;2023
4. Literature Review on Gravel Road Maintenance: Current State and Directions for Future Research;Transportation Research Record: Journal of the Transportation Research Board;2022-11-14
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