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Five recent publications

1. A Machine Learning based approach to predict road rutting considering uncertainty

Chen, K., Eskandari Torbaghan, M., Thom, N., Garcia-Hernández, A., Faramarzi, A. & Chapman, D.
In: Case Studies in Construction Materials.
1 Jul 2024

2. An Automated 3D Crack Severity Assessment Using Surface Data for Improving Flexible Pavement Maintenance Strategies

Li, Z., Eskandari Torbaghan, M., Zhang, T., Qin, X., Li, W., Li, Y. & Zhang, J.
(E-pub ahead of print) In: IEEE Transactions on Intelligent Transportation Systems .
4 Apr 2024

3. Application of Machine Learning within an Asset Management Framework for Realizing the Impact of Trenching in Urban Environments

Hojjati, A., Movahedifar, R. & Eskandari Torbaghan, M.
Geo Congress 2024: Geotechnical Data Analysis and Computation. Evans, T. M., Stark, N. & Chang, S. (eds.). American Society of Civil Engineers (ASCE)
22 Feb 2024

4. Harvesting electricity from road traffic noise energy, a literature review

Tanzadeh, R., Eskandari Torbaghan, M., Venetsaneas, N. & Moghadas Nejad, F.
(E-pub ahead of print) In: Proceedings of the Institution of Civil Engineers: Transport.
19 Jan 2024

5. Numerically simulating the interconnected nature of the road-soil-pipe infrastructure

Movahedifar, R., Royal, A., Eskandari Torbaghan, M., Metje, N. & Chapman, D.
(E-pub ahead of print) In: Results in Engineering. 102537..
9 Jul 2024

6.Semi-automatic crack width measurement using an OrthoBoundary algorithm

Li, Z., Miao, Y., Eskandari Torbaghan, M., Zhang, H. & Zhang, J.
In: Automation in Construction.
Feb 2024

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