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Mehran Eskandari Torbaghan

University of Birmingham

Edgbaston, B15 2TT

United Kingdom

SCHOLARLY PAPERS

3

DOWNLOADS

368

TOTAL CITATIONS

0

Scholarly Papers (3)

Physics-Enhanced Machine Learning for Predicting International Roughness Index on Flexible Pavements Considering Uncertainty

Number of pages: 30 Posted: 22 Aug 2024
Kun Chen, Mehran Eskandari Torbaghan, Nick Thom and Asaad Faramarzi
University of Birmingham, University of Birmingham, University of Nottingham and University of Birmingham
Downloads 89 (755,041)

Abstract:

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Machine Learning, Physics-enhanced Machine Learning, Physics-based Simulation, Pavement Performance Prediction

Physics-Enhanced Machine Learning for Predicting International Roughness Index on Flexible Pavements Considering Uncertainty

Number of pages: 30 Posted: 19 Jun 2024
Kun Chen, Mehran Eskandari Torbaghan, Nick Thom and Asaad Faramarzi
University of Birmingham, University of Birmingham, University of Nottingham and University of Birmingham
Downloads 74 (863,736)

Abstract:

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Machine Learning, Physics-enhanced ML, Physics-based simulation modelling, Uncertainty Quantification, Road Condition Prediction, Digital Twins

2.

Urban Transport - Placing Transport Justice in the Context of Sustainability for Designing User-Centric Transport Strategies

Number of pages: 37 Posted: 14 Feb 2022
University of Cambridge, University of Cambridge, University of Birmingham, University of Birmingham, University of Birmingham and University of Cambridge
Downloads 141 (521,245)

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Cities, Urban Transport, sustainability, transport justice, travel behaviour, cost-benefit analysis

3.

Digital Twin Driven Pavement Deterioration Forecasting: Explainable Route Level Predictions from Automated Survey Data

Number of pages: 47 Posted: 21 Jul 2025
Jonathan Corker, Mehran Eskandari Torbaghan, R. Remenyte-Prescott and J. Ninić
University of Birmingham, University of Birmingham, University of Nottingham and University of Birmingham
Downloads 64 (933,592)

Abstract:

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Digital Twins, Explainable AI, Automated Condition Survey, Deterioration Modelling, Pavement Management