[HTML][HTML] Research and applications of artificial neural network in pavement engineering: a state-of-the-art review
Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …
(ANN) has been explored and applied to handle complicated problems in the field of …
State-of-the-art review on permanent deformation characterization of asphalt concrete pavements
Rutting is one of the significant distresses in flexible pavements. Examining the methods to
decrease permanent deformation is of considerable importance to provide long service life …
decrease permanent deformation is of considerable importance to provide long service life …
A review on empirical methods of pavement performance modeling
This paper conducts a comprehensive review of empirical methods of pavement
performance modeling. The paper firstly analyzes performance measures used in existing …
performance modeling. The paper firstly analyzes performance measures used in existing …
Characterizing the performance of interstate flexible pavements using artificial neural networks and random parameters regression
Past studies developed pavement performance models using data from all or multiple states
across the United States. This study hypothesized that due to variation in agency practices …
across the United States. This study hypothesized that due to variation in agency practices …
Prediction of asphalt pavement condition using FWD deflection basin parameters and artificial neural networks
Applications of non-destructive testing devices such as Falling Weight Deflectometer (FWD)
provide crucial estimates of pavement health that assist in the optimisation of pavement …
provide crucial estimates of pavement health that assist in the optimisation of pavement …
Pavement structural evaluation based on roughness and surface distress survey using neural network model
M Fakhri, RS Dezfoulian - Construction and Building Materials, 2019 - Elsevier
Abstract Evaluation of pavement condition, which determines pavement maintenance and
rehabilitation necessities, is inevitable using structural or non-structural methods. Since …
rehabilitation necessities, is inevitable using structural or non-structural methods. Since …
Modelling of pavement performance evolution considering uncertainty and interpretability: A machine learning based framework
Machine learning (ML) based pavement performance models have gained increasing
popularity in recent years due to their strong power in modelling complex relationships …
popularity in recent years due to their strong power in modelling complex relationships …
Backpropagation–artificial neural network (BP-ANN): understanding gender characteristics of older driver accidents in west midlands of United Kingdom
S Amin - Safety science, 2020 - Elsevier
Older people are vulnerable road users with higher rate of casualties in traffic accidents. The
commonly cited causes of accidents for older people are poor attention and decision making …
commonly cited causes of accidents for older people are poor attention and decision making …
Enhancing pavement maintenance: A deep learning model for accurate prediction and early detection of pavement structural damage
Pavement distress, which is exacerbated by structural damage, results in massive carbon-
intensity for routine maintenance and transportation safety issues. One promising approach …
intensity for routine maintenance and transportation safety issues. One promising approach …
[HTML][HTML] Modelling crash severity outcomes for low speed urban roads using back propagation–Artificial neural network (BP–ANN)–A case study in Indian context
S Barman, R Bandyopadhyaya - IATSS research, 2023 - Elsevier
This work analyses influence of road, weather and crash-specific factors on crash severity
outcomes for low-speed urban midblock sections and intersections, for day and night time …
outcomes for low-speed urban midblock sections and intersections, for day and night time …