Amir Golroo
Amir Golroo
Assoc. Prof. Tehran PolyTech, Senior Researcher Oulu University
Geverifieerd e-mailadres voor aut.ac.ir
Geciteerd door
Geciteerd door
Optimizing pervious concrete pavement mixture design by using the Taguchi method
A Joshaghani, AA Ramezanianpour, O Ataei, A Golroo
Construction and Building Materials 101, 317-325, 2015
A review on automated pavement distress detection methods
TBJ Coenen, A Golroo
Cogent Engineering 4 (1), 1374822, 2017
Machine learning techniques for pavement condition evaluation
N Sholevar, A Golroo, SR Esfahani
Automation in Construction 136, 104190, 2022
Road roughness measurement using a cost-effective sensor-based monitoring system
MA Bidgoli, A Golroo, HS Nadjar, AG Rashidabad, MR Ganji
Automation in Construction 104, 140-152, 2019
Automated transportation mode detection using smart phone applications via machine learning: Case study mega city of Tehran
ZA Lari, A Golroo
Proceedings of the Transportation Research Board 94th Annual Meeting …, 2015
Estimating pavement roughness by fusing color and depth data obtained from an inexpensive RGB-D sensor
A Mahmoudzadeh, A Golroo, MR Jahanshahi, S Firoozi Yeganeh
Sensors 19 (7), 1655, 2019
Sustainable pavement maintenance and rehabilitation planning using differential evolutionary programming and coyote optimisation algorithm
H Naseri, M Ehsani, A Golroo, F Moghadas Nejad
International Journal of Pavement Engineering 23 (8), 2870-2887, 2022
Development of a crowdsourcing-based system for computing the international roughness index
Z Mirtabar, A Golroo, A Mahmoudzadeh, F Barazandeh
International journal of pavement engineering 23 (2), 489-498, 2022
Toward equity in large-scale network-level pavement maintenance and rehabilitation scheduling using water cycle and genetic algorithms
H Naseri, A Fani, A Golroo
International Journal of Pavement Engineering 23 (4), 1095-1107, 2022
An integrated machine learning model for automatic road crack detection and classification in urban areas
A Ahmadi, S Khalesi, A Golroo
International Journal of Pavement Engineering 23 (10), 3536-3552, 2022
Pavement maintenance and rehabilitation planning optimisation under budget and pavement deterioration uncertainty
A Fani, A Golroo, S Ali Mirhassani, AH Gandomi
International Journal of Pavement Engineering 23 (2), 414-424, 2022
Validation of smartphone based pavement roughness measures
SF Yeganeh, A Mahmoudzadeh, MA Azizpour, A Golroo
arXiv preprint arXiv:1902.10699, 2019
Developing a novel machine learning method to predict the compressive strength of fly ash concrete in different ages
H Naseri, H Jahanbakhsh, F Moghadas Nejad, A Golroo
AUT Journal of Civil Engineering 4 (4), 423-436, 2020
A comparative study on using meta-heuristic algorithms for road maintenance planning: insights from field study in a developing country
AG Matin, RV Nezafat, A Golroo
Journal of Traffic and Transportation Engineering (English Edition) 4 (5 …, 2017
Evolutionary and swarm intelligence algorithms on pavement maintenance and rehabilitation planning
H Naseri, M Shokoohi, H Jahanbakhsh, A Golroo, AH Gandomi
International Journal of Pavement Engineering 23 (13), 4649-4663, 2022
Integrated airport pavement management using a hybrid approach of Markov Chain and supervised multi-objective genetic algorithms
Z Ansarilari, A Golroo
International Journal of Pavement Engineering 21 (14), 1864-1873, 2020
Automatic pavement rutting measurement by fusing a high speed-shot camera and a linear laser
S Arezoumand, A Mahmoudzadeh, A Golroo, B Mojaradi
Construction and Building Materials 283, 122668, 2021
Optimum genetic algorithm structure selection in pavement management
A Golroo, S Tighe
Asian Journal of Applied Sciences 5 (6), 327-341, 2012
Railway maintenance management using a stochastic geometrical degradation model
AHE Khouzani, A Golroo, M Bagheri
Journal of Transportation Engineering, Part A: Systems 143 (1), 04016002, 2017
Automated rutting measurement using an inexpensive RGB-D sensor fusion approach
S Firoozi Yeganeh, A Golroo, MR Jahanshahi
Journal of Transportation Engineering, Part B: Pavements 145 (1), 04018061, 2019
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